1 2 /* 3 Defines the basic matrix operations for the BAIJ (compressed row) 4 matrix storage format. 5 */ 6 #include <../src/mat/impls/baij/seq/baij.h> /*I "petscmat.h" I*/ 7 #include <petscblaslapack.h> 8 #include <petsc/private/kernels/blockinvert.h> 9 #include <petsc/private/kernels/blockmatmult.h> 10 11 #if defined(PETSC_HAVE_HYPRE) 12 PETSC_INTERN PetscErrorCode MatConvert_AIJ_HYPRE(Mat,MatType,MatReuse,Mat*); 13 #endif 14 15 #if defined(PETSC_HAVE_MKL_SPARSE_OPTIMIZE) 16 PETSC_INTERN PetscErrorCode MatConvert_SeqBAIJ_SeqBAIJMKL(Mat,MatType,MatReuse,Mat*); 17 #endif 18 PETSC_INTERN PetscErrorCode MatConvert_XAIJ_IS(Mat,MatType,MatReuse,Mat*); 19 20 PetscErrorCode MatInvertBlockDiagonal_SeqBAIJ(Mat A,const PetscScalar **values) 21 { 22 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*) A->data; 23 PetscErrorCode ierr; 24 PetscInt *diag_offset,i,bs = A->rmap->bs,mbs = a->mbs,ipvt[5],bs2 = bs*bs,*v_pivots; 25 MatScalar *v = a->a,*odiag,*diag,work[25],*v_work; 26 PetscReal shift = 0.0; 27 PetscBool allowzeropivot,zeropivotdetected=PETSC_FALSE; 28 29 PetscFunctionBegin; 30 allowzeropivot = PetscNot(A->erroriffailure); 31 32 if (a->idiagvalid) { 33 if (values) *values = a->idiag; 34 PetscFunctionReturn(0); 35 } 36 ierr = MatMarkDiagonal_SeqBAIJ(A);CHKERRQ(ierr); 37 diag_offset = a->diag; 38 if (!a->idiag) { 39 ierr = PetscMalloc1(bs2*mbs,&a->idiag);CHKERRQ(ierr); 40 ierr = PetscLogObjectMemory((PetscObject)A,bs2*mbs*sizeof(PetscScalar));CHKERRQ(ierr); 41 } 42 diag = a->idiag; 43 if (values) *values = a->idiag; 44 /* factor and invert each block */ 45 switch (bs) { 46 case 1: 47 for (i=0; i<mbs; i++) { 48 odiag = v + 1*diag_offset[i]; 49 diag[0] = odiag[0]; 50 51 if (PetscAbsScalar(diag[0] + shift) < PETSC_MACHINE_EPSILON) { 52 if (allowzeropivot) { 53 A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 54 A->factorerror_zeropivot_value = PetscAbsScalar(diag[0]); 55 A->factorerror_zeropivot_row = i; 56 ierr = PetscInfo1(A,"Zero pivot, row %D\n",i);CHKERRQ(ierr); 57 } else SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_MAT_LU_ZRPVT,"Zero pivot, row %D pivot value %g tolerance %g",i,(double)PetscAbsScalar(diag[0]),(double)PETSC_MACHINE_EPSILON); 58 } 59 60 diag[0] = (PetscScalar)1.0 / (diag[0] + shift); 61 diag += 1; 62 } 63 break; 64 case 2: 65 for (i=0; i<mbs; i++) { 66 odiag = v + 4*diag_offset[i]; 67 diag[0] = odiag[0]; diag[1] = odiag[1]; diag[2] = odiag[2]; diag[3] = odiag[3]; 68 ierr = PetscKernel_A_gets_inverse_A_2(diag,shift,allowzeropivot,&zeropivotdetected);CHKERRQ(ierr); 69 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 70 diag += 4; 71 } 72 break; 73 case 3: 74 for (i=0; i<mbs; i++) { 75 odiag = v + 9*diag_offset[i]; 76 diag[0] = odiag[0]; diag[1] = odiag[1]; diag[2] = odiag[2]; diag[3] = odiag[3]; 77 diag[4] = odiag[4]; diag[5] = odiag[5]; diag[6] = odiag[6]; diag[7] = odiag[7]; 78 diag[8] = odiag[8]; 79 ierr = PetscKernel_A_gets_inverse_A_3(diag,shift,allowzeropivot,&zeropivotdetected);CHKERRQ(ierr); 80 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 81 diag += 9; 82 } 83 break; 84 case 4: 85 for (i=0; i<mbs; i++) { 86 odiag = v + 16*diag_offset[i]; 87 ierr = PetscArraycpy(diag,odiag,16);CHKERRQ(ierr); 88 ierr = PetscKernel_A_gets_inverse_A_4(diag,shift,allowzeropivot,&zeropivotdetected);CHKERRQ(ierr); 89 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 90 diag += 16; 91 } 92 break; 93 case 5: 94 for (i=0; i<mbs; i++) { 95 odiag = v + 25*diag_offset[i]; 96 ierr = PetscArraycpy(diag,odiag,25);CHKERRQ(ierr); 97 ierr = PetscKernel_A_gets_inverse_A_5(diag,ipvt,work,shift,allowzeropivot,&zeropivotdetected);CHKERRQ(ierr); 98 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 99 diag += 25; 100 } 101 break; 102 case 6: 103 for (i=0; i<mbs; i++) { 104 odiag = v + 36*diag_offset[i]; 105 ierr = PetscArraycpy(diag,odiag,36);CHKERRQ(ierr); 106 ierr = PetscKernel_A_gets_inverse_A_6(diag,shift,allowzeropivot,&zeropivotdetected);CHKERRQ(ierr); 107 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 108 diag += 36; 109 } 110 break; 111 case 7: 112 for (i=0; i<mbs; i++) { 113 odiag = v + 49*diag_offset[i]; 114 ierr = PetscArraycpy(diag,odiag,49);CHKERRQ(ierr); 115 ierr = PetscKernel_A_gets_inverse_A_7(diag,shift,allowzeropivot,&zeropivotdetected);CHKERRQ(ierr); 116 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 117 diag += 49; 118 } 119 break; 120 default: 121 ierr = PetscMalloc2(bs,&v_work,bs,&v_pivots);CHKERRQ(ierr); 122 for (i=0; i<mbs; i++) { 123 odiag = v + bs2*diag_offset[i]; 124 ierr = PetscArraycpy(diag,odiag,bs2);CHKERRQ(ierr); 125 ierr = PetscKernel_A_gets_inverse_A(bs,diag,v_pivots,v_work,allowzeropivot,&zeropivotdetected);CHKERRQ(ierr); 126 if (zeropivotdetected) A->factorerrortype = MAT_FACTOR_NUMERIC_ZEROPIVOT; 127 diag += bs2; 128 } 129 ierr = PetscFree2(v_work,v_pivots);CHKERRQ(ierr); 130 } 131 a->idiagvalid = PETSC_TRUE; 132 PetscFunctionReturn(0); 133 } 134 135 PetscErrorCode MatSOR_SeqBAIJ(Mat A,Vec bb,PetscReal omega,MatSORType flag,PetscReal fshift,PetscInt its,PetscInt lits,Vec xx) 136 { 137 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 138 PetscScalar *x,*work,*w,*workt,*t; 139 const MatScalar *v,*aa = a->a, *idiag; 140 const PetscScalar *b,*xb; 141 PetscScalar s[7], xw[7]={0}; /* avoid some compilers thinking xw is uninitialized */ 142 PetscErrorCode ierr; 143 PetscInt m = a->mbs,i,i2,nz,bs = A->rmap->bs,bs2 = bs*bs,k,j,idx,it; 144 const PetscInt *diag,*ai = a->i,*aj = a->j,*vi; 145 146 PetscFunctionBegin; 147 its = its*lits; 148 if (flag & SOR_EISENSTAT) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"No support yet for Eisenstat"); 149 if (its <= 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Relaxation requires global its %D and local its %D both positive",its,lits); 150 if (fshift) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Sorry, no support for diagonal shift"); 151 if (omega != 1.0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Sorry, no support for non-trivial relaxation factor"); 152 if ((flag & SOR_APPLY_UPPER) || (flag & SOR_APPLY_LOWER)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Sorry, no support for applying upper or lower triangular parts"); 153 154 if (!a->idiagvalid) {ierr = MatInvertBlockDiagonal(A,NULL);CHKERRQ(ierr);} 155 156 if (!m) PetscFunctionReturn(0); 157 diag = a->diag; 158 idiag = a->idiag; 159 k = PetscMax(A->rmap->n,A->cmap->n); 160 if (!a->mult_work) { 161 ierr = PetscMalloc1(k+1,&a->mult_work);CHKERRQ(ierr); 162 } 163 if (!a->sor_workt) { 164 ierr = PetscMalloc1(k,&a->sor_workt);CHKERRQ(ierr); 165 } 166 if (!a->sor_work) { 167 ierr = PetscMalloc1(bs,&a->sor_work);CHKERRQ(ierr); 168 } 169 work = a->mult_work; 170 t = a->sor_workt; 171 w = a->sor_work; 172 173 ierr = VecGetArray(xx,&x);CHKERRQ(ierr); 174 ierr = VecGetArrayRead(bb,&b);CHKERRQ(ierr); 175 176 if (flag & SOR_ZERO_INITIAL_GUESS) { 177 if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP) { 178 switch (bs) { 179 case 1: 180 PetscKernel_v_gets_A_times_w_1(x,idiag,b); 181 t[0] = b[0]; 182 i2 = 1; 183 idiag += 1; 184 for (i=1; i<m; i++) { 185 v = aa + ai[i]; 186 vi = aj + ai[i]; 187 nz = diag[i] - ai[i]; 188 s[0] = b[i2]; 189 for (j=0; j<nz; j++) { 190 xw[0] = x[vi[j]]; 191 PetscKernel_v_gets_v_minus_A_times_w_1(s,(v+j),xw); 192 } 193 t[i2] = s[0]; 194 PetscKernel_v_gets_A_times_w_1(xw,idiag,s); 195 x[i2] = xw[0]; 196 idiag += 1; 197 i2 += 1; 198 } 199 break; 200 case 2: 201 PetscKernel_v_gets_A_times_w_2(x,idiag,b); 202 t[0] = b[0]; t[1] = b[1]; 203 i2 = 2; 204 idiag += 4; 205 for (i=1; i<m; i++) { 206 v = aa + 4*ai[i]; 207 vi = aj + ai[i]; 208 nz = diag[i] - ai[i]; 209 s[0] = b[i2]; s[1] = b[i2+1]; 210 for (j=0; j<nz; j++) { 211 idx = 2*vi[j]; 212 it = 4*j; 213 xw[0] = x[idx]; xw[1] = x[1+idx]; 214 PetscKernel_v_gets_v_minus_A_times_w_2(s,(v+it),xw); 215 } 216 t[i2] = s[0]; t[i2+1] = s[1]; 217 PetscKernel_v_gets_A_times_w_2(xw,idiag,s); 218 x[i2] = xw[0]; x[i2+1] = xw[1]; 219 idiag += 4; 220 i2 += 2; 221 } 222 break; 223 case 3: 224 PetscKernel_v_gets_A_times_w_3(x,idiag,b); 225 t[0] = b[0]; t[1] = b[1]; t[2] = b[2]; 226 i2 = 3; 227 idiag += 9; 228 for (i=1; i<m; i++) { 229 v = aa + 9*ai[i]; 230 vi = aj + ai[i]; 231 nz = diag[i] - ai[i]; 232 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; 233 while (nz--) { 234 idx = 3*(*vi++); 235 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 236 PetscKernel_v_gets_v_minus_A_times_w_3(s,v,xw); 237 v += 9; 238 } 239 t[i2] = s[0]; t[i2+1] = s[1]; t[i2+2] = s[2]; 240 PetscKernel_v_gets_A_times_w_3(xw,idiag,s); 241 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; 242 idiag += 9; 243 i2 += 3; 244 } 245 break; 246 case 4: 247 PetscKernel_v_gets_A_times_w_4(x,idiag,b); 248 t[0] = b[0]; t[1] = b[1]; t[2] = b[2]; t[3] = b[3]; 249 i2 = 4; 250 idiag += 16; 251 for (i=1; i<m; i++) { 252 v = aa + 16*ai[i]; 253 vi = aj + ai[i]; 254 nz = diag[i] - ai[i]; 255 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; s[3] = b[i2+3]; 256 while (nz--) { 257 idx = 4*(*vi++); 258 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; xw[3] = x[3+idx]; 259 PetscKernel_v_gets_v_minus_A_times_w_4(s,v,xw); 260 v += 16; 261 } 262 t[i2] = s[0]; t[i2+1] = s[1]; t[i2+2] = s[2]; t[i2 + 3] = s[3]; 263 PetscKernel_v_gets_A_times_w_4(xw,idiag,s); 264 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; x[i2+3] = xw[3]; 265 idiag += 16; 266 i2 += 4; 267 } 268 break; 269 case 5: 270 PetscKernel_v_gets_A_times_w_5(x,idiag,b); 271 t[0] = b[0]; t[1] = b[1]; t[2] = b[2]; t[3] = b[3]; t[4] = b[4]; 272 i2 = 5; 273 idiag += 25; 274 for (i=1; i<m; i++) { 275 v = aa + 25*ai[i]; 276 vi = aj + ai[i]; 277 nz = diag[i] - ai[i]; 278 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; s[3] = b[i2+3]; s[4] = b[i2+4]; 279 while (nz--) { 280 idx = 5*(*vi++); 281 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; xw[3] = x[3+idx]; xw[4] = x[4+idx]; 282 PetscKernel_v_gets_v_minus_A_times_w_5(s,v,xw); 283 v += 25; 284 } 285 t[i2] = s[0]; t[i2+1] = s[1]; t[i2+2] = s[2]; t[i2+3] = s[3]; t[i2+4] = s[4]; 286 PetscKernel_v_gets_A_times_w_5(xw,idiag,s); 287 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; x[i2+3] = xw[3]; x[i2+4] = xw[4]; 288 idiag += 25; 289 i2 += 5; 290 } 291 break; 292 case 6: 293 PetscKernel_v_gets_A_times_w_6(x,idiag,b); 294 t[0] = b[0]; t[1] = b[1]; t[2] = b[2]; t[3] = b[3]; t[4] = b[4]; t[5] = b[5]; 295 i2 = 6; 296 idiag += 36; 297 for (i=1; i<m; i++) { 298 v = aa + 36*ai[i]; 299 vi = aj + ai[i]; 300 nz = diag[i] - ai[i]; 301 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; s[3] = b[i2+3]; s[4] = b[i2+4]; s[5] = b[i2+5]; 302 while (nz--) { 303 idx = 6*(*vi++); 304 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 305 xw[3] = x[3+idx]; xw[4] = x[4+idx]; xw[5] = x[5+idx]; 306 PetscKernel_v_gets_v_minus_A_times_w_6(s,v,xw); 307 v += 36; 308 } 309 t[i2] = s[0]; t[i2+1] = s[1]; t[i2+2] = s[2]; 310 t[i2+3] = s[3]; t[i2+4] = s[4]; t[i2+5] = s[5]; 311 PetscKernel_v_gets_A_times_w_6(xw,idiag,s); 312 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; x[i2+3] = xw[3]; x[i2+4] = xw[4]; x[i2+5] = xw[5]; 313 idiag += 36; 314 i2 += 6; 315 } 316 break; 317 case 7: 318 PetscKernel_v_gets_A_times_w_7(x,idiag,b); 319 t[0] = b[0]; t[1] = b[1]; t[2] = b[2]; 320 t[3] = b[3]; t[4] = b[4]; t[5] = b[5]; t[6] = b[6]; 321 i2 = 7; 322 idiag += 49; 323 for (i=1; i<m; i++) { 324 v = aa + 49*ai[i]; 325 vi = aj + ai[i]; 326 nz = diag[i] - ai[i]; 327 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; 328 s[3] = b[i2+3]; s[4] = b[i2+4]; s[5] = b[i2+5]; s[6] = b[i2+6]; 329 while (nz--) { 330 idx = 7*(*vi++); 331 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 332 xw[3] = x[3+idx]; xw[4] = x[4+idx]; xw[5] = x[5+idx]; xw[6] = x[6+idx]; 333 PetscKernel_v_gets_v_minus_A_times_w_7(s,v,xw); 334 v += 49; 335 } 336 t[i2] = s[0]; t[i2+1] = s[1]; t[i2+2] = s[2]; 337 t[i2+3] = s[3]; t[i2+4] = s[4]; t[i2+5] = s[5]; t[i2+6] = s[6]; 338 PetscKernel_v_gets_A_times_w_7(xw,idiag,s); 339 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; 340 x[i2+3] = xw[3]; x[i2+4] = xw[4]; x[i2+5] = xw[5]; x[i2+6] = xw[6]; 341 idiag += 49; 342 i2 += 7; 343 } 344 break; 345 default: 346 PetscKernel_w_gets_Ar_times_v(bs,bs,b,idiag,x); 347 ierr = PetscArraycpy(t,b,bs);CHKERRQ(ierr); 348 i2 = bs; 349 idiag += bs2; 350 for (i=1; i<m; i++) { 351 v = aa + bs2*ai[i]; 352 vi = aj + ai[i]; 353 nz = diag[i] - ai[i]; 354 355 ierr = PetscArraycpy(w,b+i2,bs);CHKERRQ(ierr); 356 /* copy all rows of x that are needed into contiguous space */ 357 workt = work; 358 for (j=0; j<nz; j++) { 359 ierr = PetscArraycpy(workt,x + bs*(*vi++),bs);CHKERRQ(ierr); 360 workt += bs; 361 } 362 PetscKernel_w_gets_w_minus_Ar_times_v(bs,bs*nz,w,v,work); 363 ierr = PetscArraycpy(t+i2,w,bs);CHKERRQ(ierr); 364 PetscKernel_w_gets_Ar_times_v(bs,bs,w,idiag,x+i2); 365 366 idiag += bs2; 367 i2 += bs; 368 } 369 break; 370 } 371 /* for logging purposes assume number of nonzero in lower half is 1/2 of total */ 372 ierr = PetscLogFlops(1.0*bs2*a->nz);CHKERRQ(ierr); 373 xb = t; 374 } 375 else xb = b; 376 if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP) { 377 idiag = a->idiag+bs2*(a->mbs-1); 378 i2 = bs * (m-1); 379 switch (bs) { 380 case 1: 381 s[0] = xb[i2]; 382 PetscKernel_v_gets_A_times_w_1(xw,idiag,s); 383 x[i2] = xw[0]; 384 i2 -= 1; 385 for (i=m-2; i>=0; i--) { 386 v = aa + (diag[i]+1); 387 vi = aj + diag[i] + 1; 388 nz = ai[i+1] - diag[i] - 1; 389 s[0] = xb[i2]; 390 for (j=0; j<nz; j++) { 391 xw[0] = x[vi[j]]; 392 PetscKernel_v_gets_v_minus_A_times_w_1(s,(v+j),xw); 393 } 394 PetscKernel_v_gets_A_times_w_1(xw,idiag,s); 395 x[i2] = xw[0]; 396 idiag -= 1; 397 i2 -= 1; 398 } 399 break; 400 case 2: 401 s[0] = xb[i2]; s[1] = xb[i2+1]; 402 PetscKernel_v_gets_A_times_w_2(xw,idiag,s); 403 x[i2] = xw[0]; x[i2+1] = xw[1]; 404 i2 -= 2; 405 idiag -= 4; 406 for (i=m-2; i>=0; i--) { 407 v = aa + 4*(diag[i] + 1); 408 vi = aj + diag[i] + 1; 409 nz = ai[i+1] - diag[i] - 1; 410 s[0] = xb[i2]; s[1] = xb[i2+1]; 411 for (j=0; j<nz; j++) { 412 idx = 2*vi[j]; 413 it = 4*j; 414 xw[0] = x[idx]; xw[1] = x[1+idx]; 415 PetscKernel_v_gets_v_minus_A_times_w_2(s,(v+it),xw); 416 } 417 PetscKernel_v_gets_A_times_w_2(xw,idiag,s); 418 x[i2] = xw[0]; x[i2+1] = xw[1]; 419 idiag -= 4; 420 i2 -= 2; 421 } 422 break; 423 case 3: 424 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; 425 PetscKernel_v_gets_A_times_w_3(xw,idiag,s); 426 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; 427 i2 -= 3; 428 idiag -= 9; 429 for (i=m-2; i>=0; i--) { 430 v = aa + 9*(diag[i]+1); 431 vi = aj + diag[i] + 1; 432 nz = ai[i+1] - diag[i] - 1; 433 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; 434 while (nz--) { 435 idx = 3*(*vi++); 436 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 437 PetscKernel_v_gets_v_minus_A_times_w_3(s,v,xw); 438 v += 9; 439 } 440 PetscKernel_v_gets_A_times_w_3(xw,idiag,s); 441 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; 442 idiag -= 9; 443 i2 -= 3; 444 } 445 break; 446 case 4: 447 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; s[3] = xb[i2+3]; 448 PetscKernel_v_gets_A_times_w_4(xw,idiag,s); 449 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; x[i2+3] = xw[3]; 450 i2 -= 4; 451 idiag -= 16; 452 for (i=m-2; i>=0; i--) { 453 v = aa + 16*(diag[i]+1); 454 vi = aj + diag[i] + 1; 455 nz = ai[i+1] - diag[i] - 1; 456 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; s[3] = xb[i2+3]; 457 while (nz--) { 458 idx = 4*(*vi++); 459 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; xw[3] = x[3+idx]; 460 PetscKernel_v_gets_v_minus_A_times_w_4(s,v,xw); 461 v += 16; 462 } 463 PetscKernel_v_gets_A_times_w_4(xw,idiag,s); 464 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; x[i2+3] = xw[3]; 465 idiag -= 16; 466 i2 -= 4; 467 } 468 break; 469 case 5: 470 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; s[3] = xb[i2+3]; s[4] = xb[i2+4]; 471 PetscKernel_v_gets_A_times_w_5(xw,idiag,s); 472 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; x[i2+3] = xw[3]; x[i2+4] = xw[4]; 473 i2 -= 5; 474 idiag -= 25; 475 for (i=m-2; i>=0; i--) { 476 v = aa + 25*(diag[i]+1); 477 vi = aj + diag[i] + 1; 478 nz = ai[i+1] - diag[i] - 1; 479 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; s[3] = xb[i2+3]; s[4] = xb[i2+4]; 480 while (nz--) { 481 idx = 5*(*vi++); 482 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; xw[3] = x[3+idx]; xw[4] = x[4+idx]; 483 PetscKernel_v_gets_v_minus_A_times_w_5(s,v,xw); 484 v += 25; 485 } 486 PetscKernel_v_gets_A_times_w_5(xw,idiag,s); 487 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; x[i2+3] = xw[3]; x[i2+4] = xw[4]; 488 idiag -= 25; 489 i2 -= 5; 490 } 491 break; 492 case 6: 493 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; s[3] = xb[i2+3]; s[4] = xb[i2+4]; s[5] = xb[i2+5]; 494 PetscKernel_v_gets_A_times_w_6(xw,idiag,s); 495 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; x[i2+3] = xw[3]; x[i2+4] = xw[4]; x[i2+5] = xw[5]; 496 i2 -= 6; 497 idiag -= 36; 498 for (i=m-2; i>=0; i--) { 499 v = aa + 36*(diag[i]+1); 500 vi = aj + diag[i] + 1; 501 nz = ai[i+1] - diag[i] - 1; 502 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; s[3] = xb[i2+3]; s[4] = xb[i2+4]; s[5] = xb[i2+5]; 503 while (nz--) { 504 idx = 6*(*vi++); 505 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 506 xw[3] = x[3+idx]; xw[4] = x[4+idx]; xw[5] = x[5+idx]; 507 PetscKernel_v_gets_v_minus_A_times_w_6(s,v,xw); 508 v += 36; 509 } 510 PetscKernel_v_gets_A_times_w_6(xw,idiag,s); 511 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; x[i2+3] = xw[3]; x[i2+4] = xw[4]; x[i2+5] = xw[5]; 512 idiag -= 36; 513 i2 -= 6; 514 } 515 break; 516 case 7: 517 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; 518 s[3] = xb[i2+3]; s[4] = xb[i2+4]; s[5] = xb[i2+5]; s[6] = xb[i2+6]; 519 PetscKernel_v_gets_A_times_w_7(x,idiag,b); 520 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; 521 x[i2+3] = xw[3]; x[i2+4] = xw[4]; x[i2+5] = xw[5]; x[i2+6] = xw[6]; 522 i2 -= 7; 523 idiag -= 49; 524 for (i=m-2; i>=0; i--) { 525 v = aa + 49*(diag[i]+1); 526 vi = aj + diag[i] + 1; 527 nz = ai[i+1] - diag[i] - 1; 528 s[0] = xb[i2]; s[1] = xb[i2+1]; s[2] = xb[i2+2]; 529 s[3] = xb[i2+3]; s[4] = xb[i2+4]; s[5] = xb[i2+5]; s[6] = xb[i2+6]; 530 while (nz--) { 531 idx = 7*(*vi++); 532 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 533 xw[3] = x[3+idx]; xw[4] = x[4+idx]; xw[5] = x[5+idx]; xw[6] = x[6+idx]; 534 PetscKernel_v_gets_v_minus_A_times_w_7(s,v,xw); 535 v += 49; 536 } 537 PetscKernel_v_gets_A_times_w_7(xw,idiag,s); 538 x[i2] = xw[0]; x[i2+1] = xw[1]; x[i2+2] = xw[2]; 539 x[i2+3] = xw[3]; x[i2+4] = xw[4]; x[i2+5] = xw[5]; x[i2+6] = xw[6]; 540 idiag -= 49; 541 i2 -= 7; 542 } 543 break; 544 default: 545 ierr = PetscArraycpy(w,xb+i2,bs);CHKERRQ(ierr); 546 PetscKernel_w_gets_Ar_times_v(bs,bs,w,idiag,x+i2); 547 i2 -= bs; 548 idiag -= bs2; 549 for (i=m-2; i>=0; i--) { 550 v = aa + bs2*(diag[i]+1); 551 vi = aj + diag[i] + 1; 552 nz = ai[i+1] - diag[i] - 1; 553 554 ierr = PetscArraycpy(w,xb+i2,bs);CHKERRQ(ierr); 555 /* copy all rows of x that are needed into contiguous space */ 556 workt = work; 557 for (j=0; j<nz; j++) { 558 ierr = PetscArraycpy(workt,x + bs*(*vi++),bs);CHKERRQ(ierr); 559 workt += bs; 560 } 561 PetscKernel_w_gets_w_minus_Ar_times_v(bs,bs*nz,w,v,work); 562 PetscKernel_w_gets_Ar_times_v(bs,bs,w,idiag,x+i2); 563 564 idiag -= bs2; 565 i2 -= bs; 566 } 567 break; 568 } 569 ierr = PetscLogFlops(1.0*bs2*(a->nz));CHKERRQ(ierr); 570 } 571 its--; 572 } 573 while (its--) { 574 if (flag & SOR_FORWARD_SWEEP || flag & SOR_LOCAL_FORWARD_SWEEP) { 575 idiag = a->idiag; 576 i2 = 0; 577 switch (bs) { 578 case 1: 579 for (i=0; i<m; i++) { 580 v = aa + ai[i]; 581 vi = aj + ai[i]; 582 nz = ai[i+1] - ai[i]; 583 s[0] = b[i2]; 584 for (j=0; j<nz; j++) { 585 xw[0] = x[vi[j]]; 586 PetscKernel_v_gets_v_minus_A_times_w_1(s,(v+j),xw); 587 } 588 PetscKernel_v_gets_A_times_w_1(xw,idiag,s); 589 x[i2] += xw[0]; 590 idiag += 1; 591 i2 += 1; 592 } 593 break; 594 case 2: 595 for (i=0; i<m; i++) { 596 v = aa + 4*ai[i]; 597 vi = aj + ai[i]; 598 nz = ai[i+1] - ai[i]; 599 s[0] = b[i2]; s[1] = b[i2+1]; 600 for (j=0; j<nz; j++) { 601 idx = 2*vi[j]; 602 it = 4*j; 603 xw[0] = x[idx]; xw[1] = x[1+idx]; 604 PetscKernel_v_gets_v_minus_A_times_w_2(s,(v+it),xw); 605 } 606 PetscKernel_v_gets_A_times_w_2(xw,idiag,s); 607 x[i2] += xw[0]; x[i2+1] += xw[1]; 608 idiag += 4; 609 i2 += 2; 610 } 611 break; 612 case 3: 613 for (i=0; i<m; i++) { 614 v = aa + 9*ai[i]; 615 vi = aj + ai[i]; 616 nz = ai[i+1] - ai[i]; 617 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; 618 while (nz--) { 619 idx = 3*(*vi++); 620 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 621 PetscKernel_v_gets_v_minus_A_times_w_3(s,v,xw); 622 v += 9; 623 } 624 PetscKernel_v_gets_A_times_w_3(xw,idiag,s); 625 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; 626 idiag += 9; 627 i2 += 3; 628 } 629 break; 630 case 4: 631 for (i=0; i<m; i++) { 632 v = aa + 16*ai[i]; 633 vi = aj + ai[i]; 634 nz = ai[i+1] - ai[i]; 635 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; s[3] = b[i2+3]; 636 while (nz--) { 637 idx = 4*(*vi++); 638 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; xw[3] = x[3+idx]; 639 PetscKernel_v_gets_v_minus_A_times_w_4(s,v,xw); 640 v += 16; 641 } 642 PetscKernel_v_gets_A_times_w_4(xw,idiag,s); 643 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; x[i2+3] += xw[3]; 644 idiag += 16; 645 i2 += 4; 646 } 647 break; 648 case 5: 649 for (i=0; i<m; i++) { 650 v = aa + 25*ai[i]; 651 vi = aj + ai[i]; 652 nz = ai[i+1] - ai[i]; 653 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; s[3] = b[i2+3]; s[4] = b[i2+4]; 654 while (nz--) { 655 idx = 5*(*vi++); 656 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; xw[3] = x[3+idx]; xw[4] = x[4+idx]; 657 PetscKernel_v_gets_v_minus_A_times_w_5(s,v,xw); 658 v += 25; 659 } 660 PetscKernel_v_gets_A_times_w_5(xw,idiag,s); 661 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; x[i2+3] += xw[3]; x[i2+4] += xw[4]; 662 idiag += 25; 663 i2 += 5; 664 } 665 break; 666 case 6: 667 for (i=0; i<m; i++) { 668 v = aa + 36*ai[i]; 669 vi = aj + ai[i]; 670 nz = ai[i+1] - ai[i]; 671 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; s[3] = b[i2+3]; s[4] = b[i2+4]; s[5] = b[i2+5]; 672 while (nz--) { 673 idx = 6*(*vi++); 674 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 675 xw[3] = x[3+idx]; xw[4] = x[4+idx]; xw[5] = x[5+idx]; 676 PetscKernel_v_gets_v_minus_A_times_w_6(s,v,xw); 677 v += 36; 678 } 679 PetscKernel_v_gets_A_times_w_6(xw,idiag,s); 680 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; 681 x[i2+3] += xw[3]; x[i2+4] += xw[4]; x[i2+5] += xw[5]; 682 idiag += 36; 683 i2 += 6; 684 } 685 break; 686 case 7: 687 for (i=0; i<m; i++) { 688 v = aa + 49*ai[i]; 689 vi = aj + ai[i]; 690 nz = ai[i+1] - ai[i]; 691 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; 692 s[3] = b[i2+3]; s[4] = b[i2+4]; s[5] = b[i2+5]; s[6] = b[i2+6]; 693 while (nz--) { 694 idx = 7*(*vi++); 695 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 696 xw[3] = x[3+idx]; xw[4] = x[4+idx]; xw[5] = x[5+idx]; xw[6] = x[6+idx]; 697 PetscKernel_v_gets_v_minus_A_times_w_7(s,v,xw); 698 v += 49; 699 } 700 PetscKernel_v_gets_A_times_w_7(xw,idiag,s); 701 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; 702 x[i2+3] += xw[3]; x[i2+4] += xw[4]; x[i2+5] += xw[5]; x[i2+6] += xw[6]; 703 idiag += 49; 704 i2 += 7; 705 } 706 break; 707 default: 708 for (i=0; i<m; i++) { 709 v = aa + bs2*ai[i]; 710 vi = aj + ai[i]; 711 nz = ai[i+1] - ai[i]; 712 713 ierr = PetscArraycpy(w,b+i2,bs);CHKERRQ(ierr); 714 /* copy all rows of x that are needed into contiguous space */ 715 workt = work; 716 for (j=0; j<nz; j++) { 717 ierr = PetscArraycpy(workt,x + bs*(*vi++),bs);CHKERRQ(ierr); 718 workt += bs; 719 } 720 PetscKernel_w_gets_w_minus_Ar_times_v(bs,bs*nz,w,v,work); 721 PetscKernel_w_gets_w_plus_Ar_times_v(bs,bs,w,idiag,x+i2); 722 723 idiag += bs2; 724 i2 += bs; 725 } 726 break; 727 } 728 ierr = PetscLogFlops(2.0*bs2*a->nz);CHKERRQ(ierr); 729 } 730 if (flag & SOR_BACKWARD_SWEEP || flag & SOR_LOCAL_BACKWARD_SWEEP) { 731 idiag = a->idiag+bs2*(a->mbs-1); 732 i2 = bs * (m-1); 733 switch (bs) { 734 case 1: 735 for (i=m-1; i>=0; i--) { 736 v = aa + ai[i]; 737 vi = aj + ai[i]; 738 nz = ai[i+1] - ai[i]; 739 s[0] = b[i2]; 740 for (j=0; j<nz; j++) { 741 xw[0] = x[vi[j]]; 742 PetscKernel_v_gets_v_minus_A_times_w_1(s,(v+j),xw); 743 } 744 PetscKernel_v_gets_A_times_w_1(xw,idiag,s); 745 x[i2] += xw[0]; 746 idiag -= 1; 747 i2 -= 1; 748 } 749 break; 750 case 2: 751 for (i=m-1; i>=0; i--) { 752 v = aa + 4*ai[i]; 753 vi = aj + ai[i]; 754 nz = ai[i+1] - ai[i]; 755 s[0] = b[i2]; s[1] = b[i2+1]; 756 for (j=0; j<nz; j++) { 757 idx = 2*vi[j]; 758 it = 4*j; 759 xw[0] = x[idx]; xw[1] = x[1+idx]; 760 PetscKernel_v_gets_v_minus_A_times_w_2(s,(v+it),xw); 761 } 762 PetscKernel_v_gets_A_times_w_2(xw,idiag,s); 763 x[i2] += xw[0]; x[i2+1] += xw[1]; 764 idiag -= 4; 765 i2 -= 2; 766 } 767 break; 768 case 3: 769 for (i=m-1; i>=0; i--) { 770 v = aa + 9*ai[i]; 771 vi = aj + ai[i]; 772 nz = ai[i+1] - ai[i]; 773 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; 774 while (nz--) { 775 idx = 3*(*vi++); 776 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 777 PetscKernel_v_gets_v_minus_A_times_w_3(s,v,xw); 778 v += 9; 779 } 780 PetscKernel_v_gets_A_times_w_3(xw,idiag,s); 781 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; 782 idiag -= 9; 783 i2 -= 3; 784 } 785 break; 786 case 4: 787 for (i=m-1; i>=0; i--) { 788 v = aa + 16*ai[i]; 789 vi = aj + ai[i]; 790 nz = ai[i+1] - ai[i]; 791 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; s[3] = b[i2+3]; 792 while (nz--) { 793 idx = 4*(*vi++); 794 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; xw[3] = x[3+idx]; 795 PetscKernel_v_gets_v_minus_A_times_w_4(s,v,xw); 796 v += 16; 797 } 798 PetscKernel_v_gets_A_times_w_4(xw,idiag,s); 799 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; x[i2+3] += xw[3]; 800 idiag -= 16; 801 i2 -= 4; 802 } 803 break; 804 case 5: 805 for (i=m-1; i>=0; i--) { 806 v = aa + 25*ai[i]; 807 vi = aj + ai[i]; 808 nz = ai[i+1] - ai[i]; 809 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; s[3] = b[i2+3]; s[4] = b[i2+4]; 810 while (nz--) { 811 idx = 5*(*vi++); 812 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; xw[3] = x[3+idx]; xw[4] = x[4+idx]; 813 PetscKernel_v_gets_v_minus_A_times_w_5(s,v,xw); 814 v += 25; 815 } 816 PetscKernel_v_gets_A_times_w_5(xw,idiag,s); 817 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; x[i2+3] += xw[3]; x[i2+4] += xw[4]; 818 idiag -= 25; 819 i2 -= 5; 820 } 821 break; 822 case 6: 823 for (i=m-1; i>=0; i--) { 824 v = aa + 36*ai[i]; 825 vi = aj + ai[i]; 826 nz = ai[i+1] - ai[i]; 827 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; s[3] = b[i2+3]; s[4] = b[i2+4]; s[5] = b[i2+5]; 828 while (nz--) { 829 idx = 6*(*vi++); 830 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 831 xw[3] = x[3+idx]; xw[4] = x[4+idx]; xw[5] = x[5+idx]; 832 PetscKernel_v_gets_v_minus_A_times_w_6(s,v,xw); 833 v += 36; 834 } 835 PetscKernel_v_gets_A_times_w_6(xw,idiag,s); 836 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; 837 x[i2+3] += xw[3]; x[i2+4] += xw[4]; x[i2+5] += xw[5]; 838 idiag -= 36; 839 i2 -= 6; 840 } 841 break; 842 case 7: 843 for (i=m-1; i>=0; i--) { 844 v = aa + 49*ai[i]; 845 vi = aj + ai[i]; 846 nz = ai[i+1] - ai[i]; 847 s[0] = b[i2]; s[1] = b[i2+1]; s[2] = b[i2+2]; 848 s[3] = b[i2+3]; s[4] = b[i2+4]; s[5] = b[i2+5]; s[6] = b[i2+6]; 849 while (nz--) { 850 idx = 7*(*vi++); 851 xw[0] = x[idx]; xw[1] = x[1+idx]; xw[2] = x[2+idx]; 852 xw[3] = x[3+idx]; xw[4] = x[4+idx]; xw[5] = x[5+idx]; xw[6] = x[6+idx]; 853 PetscKernel_v_gets_v_minus_A_times_w_7(s,v,xw); 854 v += 49; 855 } 856 PetscKernel_v_gets_A_times_w_7(xw,idiag,s); 857 x[i2] += xw[0]; x[i2+1] += xw[1]; x[i2+2] += xw[2]; 858 x[i2+3] += xw[3]; x[i2+4] += xw[4]; x[i2+5] += xw[5]; x[i2+6] += xw[6]; 859 idiag -= 49; 860 i2 -= 7; 861 } 862 break; 863 default: 864 for (i=m-1; i>=0; i--) { 865 v = aa + bs2*ai[i]; 866 vi = aj + ai[i]; 867 nz = ai[i+1] - ai[i]; 868 869 ierr = PetscArraycpy(w,b+i2,bs);CHKERRQ(ierr); 870 /* copy all rows of x that are needed into contiguous space */ 871 workt = work; 872 for (j=0; j<nz; j++) { 873 ierr = PetscArraycpy(workt,x + bs*(*vi++),bs);CHKERRQ(ierr); 874 workt += bs; 875 } 876 PetscKernel_w_gets_w_minus_Ar_times_v(bs,bs*nz,w,v,work); 877 PetscKernel_w_gets_w_plus_Ar_times_v(bs,bs,w,idiag,x+i2); 878 879 idiag -= bs2; 880 i2 -= bs; 881 } 882 break; 883 } 884 ierr = PetscLogFlops(2.0*bs2*(a->nz));CHKERRQ(ierr); 885 } 886 } 887 ierr = VecRestoreArray(xx,&x);CHKERRQ(ierr); 888 ierr = VecRestoreArrayRead(bb,&b);CHKERRQ(ierr); 889 PetscFunctionReturn(0); 890 } 891 892 893 /* 894 Special version for direct calls from Fortran (Used in PETSc-fun3d) 895 */ 896 #if defined(PETSC_HAVE_FORTRAN_CAPS) 897 #define matsetvaluesblocked4_ MATSETVALUESBLOCKED4 898 #elif !defined(PETSC_HAVE_FORTRAN_UNDERSCORE) 899 #define matsetvaluesblocked4_ matsetvaluesblocked4 900 #endif 901 902 PETSC_EXTERN void matsetvaluesblocked4_(Mat *AA,PetscInt *mm,const PetscInt im[],PetscInt *nn,const PetscInt in[],const PetscScalar v[]) 903 { 904 Mat A = *AA; 905 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 906 PetscInt *rp,k,low,high,t,ii,jj,row,nrow,i,col,l,N,m = *mm,n = *nn; 907 PetscInt *ai =a->i,*ailen=a->ilen; 908 PetscInt *aj =a->j,stepval,lastcol = -1; 909 const PetscScalar *value = v; 910 MatScalar *ap,*aa = a->a,*bap; 911 PetscErrorCode ierr; 912 913 PetscFunctionBegin; 914 if (A->rmap->bs != 4) SETERRABORT(PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"Can only be called with a block size of 4"); 915 stepval = (n-1)*4; 916 for (k=0; k<m; k++) { /* loop over added rows */ 917 row = im[k]; 918 rp = aj + ai[row]; 919 ap = aa + 16*ai[row]; 920 nrow = ailen[row]; 921 low = 0; 922 high = nrow; 923 for (l=0; l<n; l++) { /* loop over added columns */ 924 col = in[l]; 925 if (col <= lastcol) low = 0; 926 else high = nrow; 927 lastcol = col; 928 value = v + k*(stepval+4 + l)*4; 929 while (high-low > 7) { 930 t = (low+high)/2; 931 if (rp[t] > col) high = t; 932 else low = t; 933 } 934 for (i=low; i<high; i++) { 935 if (rp[i] > col) break; 936 if (rp[i] == col) { 937 bap = ap + 16*i; 938 for (ii=0; ii<4; ii++,value+=stepval) { 939 for (jj=ii; jj<16; jj+=4) { 940 bap[jj] += *value++; 941 } 942 } 943 goto noinsert2; 944 } 945 } 946 N = nrow++ - 1; 947 high++; /* added new column index thus must search to one higher than before */ 948 /* shift up all the later entries in this row */ 949 for (ii=N; ii>=i; ii--) { 950 rp[ii+1] = rp[ii]; 951 ierr = PetscArraycpy(ap+16*(ii+1),ap+16*(ii),16);CHKERRV(ierr); 952 } 953 if (N >= i) { 954 ierr = PetscArrayzero(ap+16*i,16);CHKERRV(ierr); 955 } 956 rp[i] = col; 957 bap = ap + 16*i; 958 for (ii=0; ii<4; ii++,value+=stepval) { 959 for (jj=ii; jj<16; jj+=4) { 960 bap[jj] = *value++; 961 } 962 } 963 noinsert2:; 964 low = i; 965 } 966 ailen[row] = nrow; 967 } 968 PetscFunctionReturnVoid(); 969 } 970 971 #if defined(PETSC_HAVE_FORTRAN_CAPS) 972 #define matsetvalues4_ MATSETVALUES4 973 #elif !defined(PETSC_HAVE_FORTRAN_UNDERSCORE) 974 #define matsetvalues4_ matsetvalues4 975 #endif 976 977 PETSC_EXTERN void matsetvalues4_(Mat *AA,PetscInt *mm,PetscInt *im,PetscInt *nn,PetscInt *in,PetscScalar *v) 978 { 979 Mat A = *AA; 980 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 981 PetscInt *rp,k,low,high,t,row,nrow,i,col,l,N,n = *nn,m = *mm; 982 PetscInt *ai=a->i,*ailen=a->ilen; 983 PetscInt *aj=a->j,brow,bcol; 984 PetscInt ridx,cidx,lastcol = -1; 985 MatScalar *ap,value,*aa=a->a,*bap; 986 PetscErrorCode ierr; 987 988 PetscFunctionBegin; 989 for (k=0; k<m; k++) { /* loop over added rows */ 990 row = im[k]; brow = row/4; 991 rp = aj + ai[brow]; 992 ap = aa + 16*ai[brow]; 993 nrow = ailen[brow]; 994 low = 0; 995 high = nrow; 996 for (l=0; l<n; l++) { /* loop over added columns */ 997 col = in[l]; bcol = col/4; 998 ridx = row % 4; cidx = col % 4; 999 value = v[l + k*n]; 1000 if (col <= lastcol) low = 0; 1001 else high = nrow; 1002 lastcol = col; 1003 while (high-low > 7) { 1004 t = (low+high)/2; 1005 if (rp[t] > bcol) high = t; 1006 else low = t; 1007 } 1008 for (i=low; i<high; i++) { 1009 if (rp[i] > bcol) break; 1010 if (rp[i] == bcol) { 1011 bap = ap + 16*i + 4*cidx + ridx; 1012 *bap += value; 1013 goto noinsert1; 1014 } 1015 } 1016 N = nrow++ - 1; 1017 high++; /* added new column thus must search to one higher than before */ 1018 /* shift up all the later entries in this row */ 1019 ierr = PetscArraymove(rp+i+1,rp+i,N-i+1);CHKERRV(ierr); 1020 ierr = PetscArraymove(ap+16*i+16,ap+16*i,16*(N-i+1));CHKERRV(ierr); 1021 ierr = PetscArrayzero(ap+16*i,16);CHKERRV(ierr); 1022 rp[i] = bcol; 1023 ap[16*i + 4*cidx + ridx] = value; 1024 noinsert1:; 1025 low = i; 1026 } 1027 ailen[brow] = nrow; 1028 } 1029 PetscFunctionReturnVoid(); 1030 } 1031 1032 /* 1033 Checks for missing diagonals 1034 */ 1035 PetscErrorCode MatMissingDiagonal_SeqBAIJ(Mat A,PetscBool *missing,PetscInt *d) 1036 { 1037 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1038 PetscErrorCode ierr; 1039 PetscInt *diag,*ii = a->i,i; 1040 1041 PetscFunctionBegin; 1042 ierr = MatMarkDiagonal_SeqBAIJ(A);CHKERRQ(ierr); 1043 *missing = PETSC_FALSE; 1044 if (A->rmap->n > 0 && !ii) { 1045 *missing = PETSC_TRUE; 1046 if (d) *d = 0; 1047 ierr = PetscInfo(A,"Matrix has no entries therefore is missing diagonal\n");CHKERRQ(ierr); 1048 } else { 1049 PetscInt n; 1050 n = PetscMin(a->mbs, a->nbs); 1051 diag = a->diag; 1052 for (i=0; i<n; i++) { 1053 if (diag[i] >= ii[i+1]) { 1054 *missing = PETSC_TRUE; 1055 if (d) *d = i; 1056 ierr = PetscInfo1(A,"Matrix is missing block diagonal number %D\n",i);CHKERRQ(ierr); 1057 break; 1058 } 1059 } 1060 } 1061 PetscFunctionReturn(0); 1062 } 1063 1064 PetscErrorCode MatMarkDiagonal_SeqBAIJ(Mat A) 1065 { 1066 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1067 PetscErrorCode ierr; 1068 PetscInt i,j,m = a->mbs; 1069 1070 PetscFunctionBegin; 1071 if (!a->diag) { 1072 ierr = PetscMalloc1(m,&a->diag);CHKERRQ(ierr); 1073 ierr = PetscLogObjectMemory((PetscObject)A,m*sizeof(PetscInt));CHKERRQ(ierr); 1074 a->free_diag = PETSC_TRUE; 1075 } 1076 for (i=0; i<m; i++) { 1077 a->diag[i] = a->i[i+1]; 1078 for (j=a->i[i]; j<a->i[i+1]; j++) { 1079 if (a->j[j] == i) { 1080 a->diag[i] = j; 1081 break; 1082 } 1083 } 1084 } 1085 PetscFunctionReturn(0); 1086 } 1087 1088 1089 static PetscErrorCode MatGetRowIJ_SeqBAIJ(Mat A,PetscInt oshift,PetscBool symmetric,PetscBool blockcompressed,PetscInt *nn,const PetscInt *inia[],const PetscInt *inja[],PetscBool *done) 1090 { 1091 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1092 PetscErrorCode ierr; 1093 PetscInt i,j,n = a->mbs,nz = a->i[n],*tia,*tja,bs = A->rmap->bs,k,l,cnt; 1094 PetscInt **ia = (PetscInt**)inia,**ja = (PetscInt**)inja; 1095 1096 PetscFunctionBegin; 1097 *nn = n; 1098 if (!ia) PetscFunctionReturn(0); 1099 if (symmetric) { 1100 ierr = MatToSymmetricIJ_SeqAIJ(n,a->i,a->j,PETSC_TRUE,0,0,&tia,&tja);CHKERRQ(ierr); 1101 nz = tia[n]; 1102 } else { 1103 tia = a->i; tja = a->j; 1104 } 1105 1106 if (!blockcompressed && bs > 1) { 1107 (*nn) *= bs; 1108 /* malloc & create the natural set of indices */ 1109 ierr = PetscMalloc1((n+1)*bs,ia);CHKERRQ(ierr); 1110 if (n) { 1111 (*ia)[0] = oshift; 1112 for (j=1; j<bs; j++) { 1113 (*ia)[j] = (tia[1]-tia[0])*bs+(*ia)[j-1]; 1114 } 1115 } 1116 1117 for (i=1; i<n; i++) { 1118 (*ia)[i*bs] = (tia[i]-tia[i-1])*bs + (*ia)[i*bs-1]; 1119 for (j=1; j<bs; j++) { 1120 (*ia)[i*bs+j] = (tia[i+1]-tia[i])*bs + (*ia)[i*bs+j-1]; 1121 } 1122 } 1123 if (n) { 1124 (*ia)[n*bs] = (tia[n]-tia[n-1])*bs + (*ia)[n*bs-1]; 1125 } 1126 1127 if (inja) { 1128 ierr = PetscMalloc1(nz*bs*bs,ja);CHKERRQ(ierr); 1129 cnt = 0; 1130 for (i=0; i<n; i++) { 1131 for (j=0; j<bs; j++) { 1132 for (k=tia[i]; k<tia[i+1]; k++) { 1133 for (l=0; l<bs; l++) { 1134 (*ja)[cnt++] = bs*tja[k] + l; 1135 } 1136 } 1137 } 1138 } 1139 } 1140 1141 if (symmetric) { /* deallocate memory allocated in MatToSymmetricIJ_SeqAIJ() */ 1142 ierr = PetscFree(tia);CHKERRQ(ierr); 1143 ierr = PetscFree(tja);CHKERRQ(ierr); 1144 } 1145 } else if (oshift == 1) { 1146 if (symmetric) { 1147 nz = tia[A->rmap->n/bs]; 1148 /* add 1 to i and j indices */ 1149 for (i=0; i<A->rmap->n/bs+1; i++) tia[i] = tia[i] + 1; 1150 *ia = tia; 1151 if (ja) { 1152 for (i=0; i<nz; i++) tja[i] = tja[i] + 1; 1153 *ja = tja; 1154 } 1155 } else { 1156 nz = a->i[A->rmap->n/bs]; 1157 /* malloc space and add 1 to i and j indices */ 1158 ierr = PetscMalloc1(A->rmap->n/bs+1,ia);CHKERRQ(ierr); 1159 for (i=0; i<A->rmap->n/bs+1; i++) (*ia)[i] = a->i[i] + 1; 1160 if (ja) { 1161 ierr = PetscMalloc1(nz,ja);CHKERRQ(ierr); 1162 for (i=0; i<nz; i++) (*ja)[i] = a->j[i] + 1; 1163 } 1164 } 1165 } else { 1166 *ia = tia; 1167 if (ja) *ja = tja; 1168 } 1169 PetscFunctionReturn(0); 1170 } 1171 1172 static PetscErrorCode MatRestoreRowIJ_SeqBAIJ(Mat A,PetscInt oshift,PetscBool symmetric,PetscBool blockcompressed,PetscInt *nn,const PetscInt *ia[],const PetscInt *ja[],PetscBool *done) 1173 { 1174 PetscErrorCode ierr; 1175 1176 PetscFunctionBegin; 1177 if (!ia) PetscFunctionReturn(0); 1178 if ((!blockcompressed && A->rmap->bs > 1) || (symmetric || oshift == 1)) { 1179 ierr = PetscFree(*ia);CHKERRQ(ierr); 1180 if (ja) {ierr = PetscFree(*ja);CHKERRQ(ierr);} 1181 } 1182 PetscFunctionReturn(0); 1183 } 1184 1185 PetscErrorCode MatDestroy_SeqBAIJ(Mat A) 1186 { 1187 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1188 PetscErrorCode ierr; 1189 1190 PetscFunctionBegin; 1191 #if defined(PETSC_USE_LOG) 1192 PetscLogObjectState((PetscObject)A,"Rows=%D, Cols=%D, NZ=%D",A->rmap->N,A->cmap->n,a->nz); 1193 #endif 1194 ierr = MatSeqXAIJFreeAIJ(A,&a->a,&a->j,&a->i);CHKERRQ(ierr); 1195 ierr = ISDestroy(&a->row);CHKERRQ(ierr); 1196 ierr = ISDestroy(&a->col);CHKERRQ(ierr); 1197 if (a->free_diag) {ierr = PetscFree(a->diag);CHKERRQ(ierr);} 1198 ierr = PetscFree(a->idiag);CHKERRQ(ierr); 1199 if (a->free_imax_ilen) {ierr = PetscFree2(a->imax,a->ilen);CHKERRQ(ierr);} 1200 ierr = PetscFree(a->solve_work);CHKERRQ(ierr); 1201 ierr = PetscFree(a->mult_work);CHKERRQ(ierr); 1202 ierr = PetscFree(a->sor_workt);CHKERRQ(ierr); 1203 ierr = PetscFree(a->sor_work);CHKERRQ(ierr); 1204 ierr = ISDestroy(&a->icol);CHKERRQ(ierr); 1205 ierr = PetscFree(a->saved_values);CHKERRQ(ierr); 1206 ierr = PetscFree2(a->compressedrow.i,a->compressedrow.rindex);CHKERRQ(ierr); 1207 1208 ierr = MatDestroy(&a->sbaijMat);CHKERRQ(ierr); 1209 ierr = MatDestroy(&a->parent);CHKERRQ(ierr); 1210 ierr = PetscFree(A->data);CHKERRQ(ierr); 1211 1212 ierr = PetscObjectChangeTypeName((PetscObject)A,NULL);CHKERRQ(ierr); 1213 ierr = PetscObjectComposeFunction((PetscObject)A,"MatSeqBAIJGetArray_C",NULL);CHKERRQ(ierr); 1214 ierr = PetscObjectComposeFunction((PetscObject)A,"MatSeqBAIJRestoreArray_C",NULL);CHKERRQ(ierr); 1215 ierr = PetscObjectComposeFunction((PetscObject)A,"MatInvertBlockDiagonal_C",NULL);CHKERRQ(ierr); 1216 ierr = PetscObjectComposeFunction((PetscObject)A,"MatStoreValues_C",NULL);CHKERRQ(ierr); 1217 ierr = PetscObjectComposeFunction((PetscObject)A,"MatRetrieveValues_C",NULL);CHKERRQ(ierr); 1218 ierr = PetscObjectComposeFunction((PetscObject)A,"MatSeqBAIJSetColumnIndices_C",NULL);CHKERRQ(ierr); 1219 ierr = PetscObjectComposeFunction((PetscObject)A,"MatConvert_seqbaij_seqaij_C",NULL);CHKERRQ(ierr); 1220 ierr = PetscObjectComposeFunction((PetscObject)A,"MatConvert_seqbaij_seqsbaij_C",NULL);CHKERRQ(ierr); 1221 ierr = PetscObjectComposeFunction((PetscObject)A,"MatSeqBAIJSetPreallocation_C",NULL);CHKERRQ(ierr); 1222 ierr = PetscObjectComposeFunction((PetscObject)A,"MatSeqBAIJSetPreallocationCSR_C",NULL);CHKERRQ(ierr); 1223 ierr = PetscObjectComposeFunction((PetscObject)A,"MatConvert_seqbaij_seqbstrm_C",NULL);CHKERRQ(ierr); 1224 ierr = PetscObjectComposeFunction((PetscObject)A,"MatIsTranspose_C",NULL);CHKERRQ(ierr); 1225 #if defined(PETSC_HAVE_HYPRE) 1226 ierr = PetscObjectComposeFunction((PetscObject)A,"MatConvert_seqbaij_hypre_C",NULL);CHKERRQ(ierr); 1227 #endif 1228 ierr = PetscObjectComposeFunction((PetscObject)A,"MatConvert_seqbaij_is_C",NULL);CHKERRQ(ierr); 1229 PetscFunctionReturn(0); 1230 } 1231 1232 PetscErrorCode MatSetOption_SeqBAIJ(Mat A,MatOption op,PetscBool flg) 1233 { 1234 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1235 PetscErrorCode ierr; 1236 1237 PetscFunctionBegin; 1238 switch (op) { 1239 case MAT_ROW_ORIENTED: 1240 a->roworiented = flg; 1241 break; 1242 case MAT_KEEP_NONZERO_PATTERN: 1243 a->keepnonzeropattern = flg; 1244 break; 1245 case MAT_NEW_NONZERO_LOCATIONS: 1246 a->nonew = (flg ? 0 : 1); 1247 break; 1248 case MAT_NEW_NONZERO_LOCATION_ERR: 1249 a->nonew = (flg ? -1 : 0); 1250 break; 1251 case MAT_NEW_NONZERO_ALLOCATION_ERR: 1252 a->nonew = (flg ? -2 : 0); 1253 break; 1254 case MAT_UNUSED_NONZERO_LOCATION_ERR: 1255 a->nounused = (flg ? -1 : 0); 1256 break; 1257 case MAT_FORCE_DIAGONAL_ENTRIES: 1258 case MAT_IGNORE_OFF_PROC_ENTRIES: 1259 case MAT_USE_HASH_TABLE: 1260 case MAT_SORTED_FULL: 1261 ierr = PetscInfo1(A,"Option %s ignored\n",MatOptions[op]);CHKERRQ(ierr); 1262 break; 1263 case MAT_SPD: 1264 case MAT_SYMMETRIC: 1265 case MAT_STRUCTURALLY_SYMMETRIC: 1266 case MAT_HERMITIAN: 1267 case MAT_SYMMETRY_ETERNAL: 1268 case MAT_SUBMAT_SINGLEIS: 1269 case MAT_STRUCTURE_ONLY: 1270 /* These options are handled directly by MatSetOption() */ 1271 break; 1272 default: 1273 SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"unknown option %d",op); 1274 } 1275 PetscFunctionReturn(0); 1276 } 1277 1278 /* used for both SeqBAIJ and SeqSBAIJ matrices */ 1279 PetscErrorCode MatGetRow_SeqBAIJ_private(Mat A,PetscInt row,PetscInt *nz,PetscInt **idx,PetscScalar **v,PetscInt *ai,PetscInt *aj,PetscScalar *aa) 1280 { 1281 PetscErrorCode ierr; 1282 PetscInt itmp,i,j,k,M,bn,bp,*idx_i,bs,bs2; 1283 MatScalar *aa_i; 1284 PetscScalar *v_i; 1285 1286 PetscFunctionBegin; 1287 bs = A->rmap->bs; 1288 bs2 = bs*bs; 1289 if (row < 0 || row >= A->rmap->N) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row %D out of range", row); 1290 1291 bn = row/bs; /* Block number */ 1292 bp = row % bs; /* Block Position */ 1293 M = ai[bn+1] - ai[bn]; 1294 *nz = bs*M; 1295 1296 if (v) { 1297 *v = NULL; 1298 if (*nz) { 1299 ierr = PetscMalloc1(*nz,v);CHKERRQ(ierr); 1300 for (i=0; i<M; i++) { /* for each block in the block row */ 1301 v_i = *v + i*bs; 1302 aa_i = aa + bs2*(ai[bn] + i); 1303 for (j=bp,k=0; j<bs2; j+=bs,k++) v_i[k] = aa_i[j]; 1304 } 1305 } 1306 } 1307 1308 if (idx) { 1309 *idx = NULL; 1310 if (*nz) { 1311 ierr = PetscMalloc1(*nz,idx);CHKERRQ(ierr); 1312 for (i=0; i<M; i++) { /* for each block in the block row */ 1313 idx_i = *idx + i*bs; 1314 itmp = bs*aj[ai[bn] + i]; 1315 for (j=0; j<bs; j++) idx_i[j] = itmp++; 1316 } 1317 } 1318 } 1319 PetscFunctionReturn(0); 1320 } 1321 1322 PetscErrorCode MatGetRow_SeqBAIJ(Mat A,PetscInt row,PetscInt *nz,PetscInt **idx,PetscScalar **v) 1323 { 1324 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1325 PetscErrorCode ierr; 1326 1327 PetscFunctionBegin; 1328 ierr = MatGetRow_SeqBAIJ_private(A,row,nz,idx,v,a->i,a->j,a->a);CHKERRQ(ierr); 1329 PetscFunctionReturn(0); 1330 } 1331 1332 PetscErrorCode MatRestoreRow_SeqBAIJ(Mat A,PetscInt row,PetscInt *nz,PetscInt **idx,PetscScalar **v) 1333 { 1334 PetscErrorCode ierr; 1335 1336 PetscFunctionBegin; 1337 if (idx) {ierr = PetscFree(*idx);CHKERRQ(ierr);} 1338 if (v) {ierr = PetscFree(*v);CHKERRQ(ierr);} 1339 PetscFunctionReturn(0); 1340 } 1341 1342 PetscErrorCode MatTranspose_SeqBAIJ(Mat A,MatReuse reuse,Mat *B) 1343 { 1344 Mat_SeqBAIJ *a=(Mat_SeqBAIJ*)A->data,*at; 1345 Mat C; 1346 PetscErrorCode ierr; 1347 PetscInt i,j,k,*aj=a->j,*ai=a->i,bs=A->rmap->bs,mbs=a->mbs,nbs=a->nbs,*atfill; 1348 PetscInt bs2=a->bs2,*ati,*atj,anzj,kr; 1349 MatScalar *ata,*aa=a->a; 1350 1351 PetscFunctionBegin; 1352 ierr = PetscCalloc1(1+nbs,&atfill);CHKERRQ(ierr); 1353 if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_INPLACE_MATRIX) { 1354 for (i=0; i<ai[mbs]; i++) atfill[aj[i]] += 1; /* count num of non-zeros in row aj[i] */ 1355 1356 ierr = MatCreate(PetscObjectComm((PetscObject)A),&C);CHKERRQ(ierr); 1357 ierr = MatSetSizes(C,A->cmap->n,A->rmap->N,A->cmap->n,A->rmap->N);CHKERRQ(ierr); 1358 ierr = MatSetType(C,((PetscObject)A)->type_name);CHKERRQ(ierr); 1359 ierr = MatSeqBAIJSetPreallocation(C,bs,0,atfill);CHKERRQ(ierr); 1360 1361 at = (Mat_SeqBAIJ*)C->data; 1362 ati = at->i; 1363 for (i=0; i<nbs; i++) at->ilen[i] = at->imax[i] = ati[i+1] - ati[i]; 1364 } else { 1365 C = *B; 1366 at = (Mat_SeqBAIJ*)C->data; 1367 ati = at->i; 1368 } 1369 1370 atj = at->j; 1371 ata = at->a; 1372 1373 /* Copy ati into atfill so we have locations of the next free space in atj */ 1374 ierr = PetscArraycpy(atfill,ati,nbs);CHKERRQ(ierr); 1375 1376 /* Walk through A row-wise and mark nonzero entries of A^T. */ 1377 for (i=0; i<mbs; i++) { 1378 anzj = ai[i+1] - ai[i]; 1379 for (j=0; j<anzj; j++) { 1380 atj[atfill[*aj]] = i; 1381 for (kr=0; kr<bs; kr++) { 1382 for (k=0; k<bs; k++) { 1383 ata[bs2*atfill[*aj]+k*bs+kr] = *aa++; 1384 } 1385 } 1386 atfill[*aj++] += 1; 1387 } 1388 } 1389 ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1390 ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1391 1392 /* Clean up temporary space and complete requests. */ 1393 ierr = PetscFree(atfill);CHKERRQ(ierr); 1394 1395 if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_REUSE_MATRIX) { 1396 ierr = MatSetBlockSizes(C,PetscAbs(A->cmap->bs),PetscAbs(A->rmap->bs));CHKERRQ(ierr); 1397 *B = C; 1398 } else { 1399 ierr = MatHeaderMerge(A,&C);CHKERRQ(ierr); 1400 } 1401 PetscFunctionReturn(0); 1402 } 1403 1404 PetscErrorCode MatIsTranspose_SeqBAIJ(Mat A,Mat B,PetscReal tol,PetscBool *f) 1405 { 1406 PetscErrorCode ierr; 1407 Mat Btrans; 1408 1409 PetscFunctionBegin; 1410 *f = PETSC_FALSE; 1411 ierr = MatTranspose_SeqBAIJ(A,MAT_INITIAL_MATRIX,&Btrans);CHKERRQ(ierr); 1412 ierr = MatEqual_SeqBAIJ(B,Btrans,f);CHKERRQ(ierr); 1413 ierr = MatDestroy(&Btrans);CHKERRQ(ierr); 1414 PetscFunctionReturn(0); 1415 } 1416 1417 /* Used for both SeqBAIJ and SeqSBAIJ matrices */ 1418 PetscErrorCode MatView_SeqBAIJ_Binary(Mat mat,PetscViewer viewer) 1419 { 1420 Mat_SeqBAIJ *A = (Mat_SeqBAIJ*)mat->data; 1421 PetscInt header[4],M,N,m,bs,nz,cnt,i,j,k,l; 1422 PetscInt *rowlens,*colidxs; 1423 PetscScalar *matvals; 1424 PetscErrorCode ierr; 1425 1426 PetscFunctionBegin; 1427 ierr = PetscViewerSetUp(viewer);CHKERRQ(ierr); 1428 1429 M = mat->rmap->N; 1430 N = mat->cmap->N; 1431 m = mat->rmap->n; 1432 bs = mat->rmap->bs; 1433 nz = bs*bs*A->nz; 1434 1435 /* write matrix header */ 1436 header[0] = MAT_FILE_CLASSID; 1437 header[1] = M; header[2] = N; header[3] = nz; 1438 ierr = PetscViewerBinaryWrite(viewer,header,4,PETSC_INT);CHKERRQ(ierr); 1439 1440 /* store row lengths */ 1441 ierr = PetscMalloc1(m,&rowlens);CHKERRQ(ierr); 1442 for (cnt=0, i=0; i<A->mbs; i++) 1443 for (j=0; j<bs; j++) 1444 rowlens[cnt++] = bs*(A->i[i+1] - A->i[i]); 1445 ierr = PetscViewerBinaryWrite(viewer,rowlens,m,PETSC_INT);CHKERRQ(ierr); 1446 ierr = PetscFree(rowlens);CHKERRQ(ierr); 1447 1448 /* store column indices */ 1449 ierr = PetscMalloc1(nz,&colidxs);CHKERRQ(ierr); 1450 for (cnt=0, i=0; i<A->mbs; i++) 1451 for (k=0; k<bs; k++) 1452 for (j=A->i[i]; j<A->i[i+1]; j++) 1453 for (l=0; l<bs; l++) 1454 colidxs[cnt++] = bs*A->j[j] + l; 1455 if (cnt != nz) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_LIB,"Internal PETSc error: cnt = %D nz = %D",cnt,nz); 1456 ierr = PetscViewerBinaryWrite(viewer,colidxs,nz,PETSC_INT);CHKERRQ(ierr); 1457 ierr = PetscFree(colidxs);CHKERRQ(ierr); 1458 1459 /* store nonzero values */ 1460 ierr = PetscMalloc1(nz,&matvals);CHKERRQ(ierr); 1461 for (cnt=0, i=0; i<A->mbs; i++) 1462 for (k=0; k<bs; k++) 1463 for (j=A->i[i]; j<A->i[i+1]; j++) 1464 for (l=0; l<bs; l++) 1465 matvals[cnt++] = A->a[bs*(bs*j + l) + k]; 1466 if (cnt != nz) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_LIB,"Internal PETSc error: cnt = %D nz = %D",cnt,nz); 1467 ierr = PetscViewerBinaryWrite(viewer,matvals,nz,PETSC_SCALAR);CHKERRQ(ierr); 1468 ierr = PetscFree(matvals);CHKERRQ(ierr); 1469 1470 /* write block size option to the viewer's .info file */ 1471 ierr = MatView_Binary_BlockSizes(mat,viewer);CHKERRQ(ierr); 1472 PetscFunctionReturn(0); 1473 } 1474 1475 static PetscErrorCode MatView_SeqBAIJ_ASCII_structonly(Mat A,PetscViewer viewer) 1476 { 1477 PetscErrorCode ierr; 1478 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1479 PetscInt i,bs = A->rmap->bs,k; 1480 1481 PetscFunctionBegin; 1482 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_FALSE);CHKERRQ(ierr); 1483 for (i=0; i<a->mbs; i++) { 1484 ierr = PetscViewerASCIIPrintf(viewer,"row %D-%D:",i*bs,i*bs+bs-1);CHKERRQ(ierr); 1485 for (k=a->i[i]; k<a->i[i+1]; k++) { 1486 ierr = PetscViewerASCIIPrintf(viewer," (%D-%D) ",bs*a->j[k],bs*a->j[k]+bs-1);CHKERRQ(ierr); 1487 } 1488 ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr); 1489 } 1490 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_TRUE);CHKERRQ(ierr); 1491 PetscFunctionReturn(0); 1492 } 1493 1494 static PetscErrorCode MatView_SeqBAIJ_ASCII(Mat A,PetscViewer viewer) 1495 { 1496 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1497 PetscErrorCode ierr; 1498 PetscInt i,j,bs = A->rmap->bs,k,l,bs2=a->bs2; 1499 PetscViewerFormat format; 1500 1501 PetscFunctionBegin; 1502 if (A->structure_only) { 1503 ierr = MatView_SeqBAIJ_ASCII_structonly(A,viewer);CHKERRQ(ierr); 1504 PetscFunctionReturn(0); 1505 } 1506 1507 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 1508 if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) { 1509 ierr = PetscViewerASCIIPrintf(viewer," block size is %D\n",bs);CHKERRQ(ierr); 1510 } else if (format == PETSC_VIEWER_ASCII_MATLAB) { 1511 const char *matname; 1512 Mat aij; 1513 ierr = MatConvert(A,MATSEQAIJ,MAT_INITIAL_MATRIX,&aij);CHKERRQ(ierr); 1514 ierr = PetscObjectGetName((PetscObject)A,&matname);CHKERRQ(ierr); 1515 ierr = PetscObjectSetName((PetscObject)aij,matname);CHKERRQ(ierr); 1516 ierr = MatView(aij,viewer);CHKERRQ(ierr); 1517 ierr = MatDestroy(&aij);CHKERRQ(ierr); 1518 } else if (format == PETSC_VIEWER_ASCII_FACTOR_INFO) { 1519 PetscFunctionReturn(0); 1520 } else if (format == PETSC_VIEWER_ASCII_COMMON) { 1521 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_FALSE);CHKERRQ(ierr); 1522 for (i=0; i<a->mbs; i++) { 1523 for (j=0; j<bs; j++) { 1524 ierr = PetscViewerASCIIPrintf(viewer,"row %D:",i*bs+j);CHKERRQ(ierr); 1525 for (k=a->i[i]; k<a->i[i+1]; k++) { 1526 for (l=0; l<bs; l++) { 1527 #if defined(PETSC_USE_COMPLEX) 1528 if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) > 0.0 && PetscRealPart(a->a[bs2*k + l*bs + j]) != 0.0) { 1529 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g + %gi) ",bs*a->j[k]+l, 1530 (double)PetscRealPart(a->a[bs2*k + l*bs + j]),(double)PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 1531 } else if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) < 0.0 && PetscRealPart(a->a[bs2*k + l*bs + j]) != 0.0) { 1532 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g - %gi) ",bs*a->j[k]+l, 1533 (double)PetscRealPart(a->a[bs2*k + l*bs + j]),-(double)PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 1534 } else if (PetscRealPart(a->a[bs2*k + l*bs + j]) != 0.0) { 1535 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g) ",bs*a->j[k]+l,(double)PetscRealPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 1536 } 1537 #else 1538 if (a->a[bs2*k + l*bs + j] != 0.0) { 1539 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g) ",bs*a->j[k]+l,(double)a->a[bs2*k + l*bs + j]);CHKERRQ(ierr); 1540 } 1541 #endif 1542 } 1543 } 1544 ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr); 1545 } 1546 } 1547 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_TRUE);CHKERRQ(ierr); 1548 } else { 1549 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_FALSE);CHKERRQ(ierr); 1550 for (i=0; i<a->mbs; i++) { 1551 for (j=0; j<bs; j++) { 1552 ierr = PetscViewerASCIIPrintf(viewer,"row %D:",i*bs+j);CHKERRQ(ierr); 1553 for (k=a->i[i]; k<a->i[i+1]; k++) { 1554 for (l=0; l<bs; l++) { 1555 #if defined(PETSC_USE_COMPLEX) 1556 if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) > 0.0) { 1557 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g + %g i) ",bs*a->j[k]+l, 1558 (double)PetscRealPart(a->a[bs2*k + l*bs + j]),(double)PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 1559 } else if (PetscImaginaryPart(a->a[bs2*k + l*bs + j]) < 0.0) { 1560 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g - %g i) ",bs*a->j[k]+l, 1561 (double)PetscRealPart(a->a[bs2*k + l*bs + j]),-(double)PetscImaginaryPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 1562 } else { 1563 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g) ",bs*a->j[k]+l,(double)PetscRealPart(a->a[bs2*k + l*bs + j]));CHKERRQ(ierr); 1564 } 1565 #else 1566 ierr = PetscViewerASCIIPrintf(viewer," (%D, %g) ",bs*a->j[k]+l,(double)a->a[bs2*k + l*bs + j]);CHKERRQ(ierr); 1567 #endif 1568 } 1569 } 1570 ierr = PetscViewerASCIIPrintf(viewer,"\n");CHKERRQ(ierr); 1571 } 1572 } 1573 ierr = PetscViewerASCIIUseTabs(viewer,PETSC_TRUE);CHKERRQ(ierr); 1574 } 1575 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 1576 PetscFunctionReturn(0); 1577 } 1578 1579 #include <petscdraw.h> 1580 static PetscErrorCode MatView_SeqBAIJ_Draw_Zoom(PetscDraw draw,void *Aa) 1581 { 1582 Mat A = (Mat) Aa; 1583 Mat_SeqBAIJ *a=(Mat_SeqBAIJ*)A->data; 1584 PetscErrorCode ierr; 1585 PetscInt row,i,j,k,l,mbs=a->mbs,color,bs=A->rmap->bs,bs2=a->bs2; 1586 PetscReal xl,yl,xr,yr,x_l,x_r,y_l,y_r; 1587 MatScalar *aa; 1588 PetscViewer viewer; 1589 PetscViewerFormat format; 1590 1591 PetscFunctionBegin; 1592 ierr = PetscObjectQuery((PetscObject)A,"Zoomviewer",(PetscObject*)&viewer);CHKERRQ(ierr); 1593 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 1594 ierr = PetscDrawGetCoordinates(draw,&xl,&yl,&xr,&yr);CHKERRQ(ierr); 1595 1596 /* loop over matrix elements drawing boxes */ 1597 1598 if (format != PETSC_VIEWER_DRAW_CONTOUR) { 1599 ierr = PetscDrawCollectiveBegin(draw);CHKERRQ(ierr); 1600 /* Blue for negative, Cyan for zero and Red for positive */ 1601 color = PETSC_DRAW_BLUE; 1602 for (i=0,row=0; i<mbs; i++,row+=bs) { 1603 for (j=a->i[i]; j<a->i[i+1]; j++) { 1604 y_l = A->rmap->N - row - 1.0; y_r = y_l + 1.0; 1605 x_l = a->j[j]*bs; x_r = x_l + 1.0; 1606 aa = a->a + j*bs2; 1607 for (k=0; k<bs; k++) { 1608 for (l=0; l<bs; l++) { 1609 if (PetscRealPart(*aa++) >= 0.) continue; 1610 ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr); 1611 } 1612 } 1613 } 1614 } 1615 color = PETSC_DRAW_CYAN; 1616 for (i=0,row=0; i<mbs; i++,row+=bs) { 1617 for (j=a->i[i]; j<a->i[i+1]; j++) { 1618 y_l = A->rmap->N - row - 1.0; y_r = y_l + 1.0; 1619 x_l = a->j[j]*bs; x_r = x_l + 1.0; 1620 aa = a->a + j*bs2; 1621 for (k=0; k<bs; k++) { 1622 for (l=0; l<bs; l++) { 1623 if (PetscRealPart(*aa++) != 0.) continue; 1624 ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr); 1625 } 1626 } 1627 } 1628 } 1629 color = PETSC_DRAW_RED; 1630 for (i=0,row=0; i<mbs; i++,row+=bs) { 1631 for (j=a->i[i]; j<a->i[i+1]; j++) { 1632 y_l = A->rmap->N - row - 1.0; y_r = y_l + 1.0; 1633 x_l = a->j[j]*bs; x_r = x_l + 1.0; 1634 aa = a->a + j*bs2; 1635 for (k=0; k<bs; k++) { 1636 for (l=0; l<bs; l++) { 1637 if (PetscRealPart(*aa++) <= 0.) continue; 1638 ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr); 1639 } 1640 } 1641 } 1642 } 1643 ierr = PetscDrawCollectiveEnd(draw);CHKERRQ(ierr); 1644 } else { 1645 /* use contour shading to indicate magnitude of values */ 1646 /* first determine max of all nonzero values */ 1647 PetscReal minv = 0.0, maxv = 0.0; 1648 PetscDraw popup; 1649 1650 for (i=0; i<a->nz*a->bs2; i++) { 1651 if (PetscAbsScalar(a->a[i]) > maxv) maxv = PetscAbsScalar(a->a[i]); 1652 } 1653 if (minv >= maxv) maxv = minv + PETSC_SMALL; 1654 ierr = PetscDrawGetPopup(draw,&popup);CHKERRQ(ierr); 1655 ierr = PetscDrawScalePopup(popup,0.0,maxv);CHKERRQ(ierr); 1656 1657 ierr = PetscDrawCollectiveBegin(draw);CHKERRQ(ierr); 1658 for (i=0,row=0; i<mbs; i++,row+=bs) { 1659 for (j=a->i[i]; j<a->i[i+1]; j++) { 1660 y_l = A->rmap->N - row - 1.0; y_r = y_l + 1.0; 1661 x_l = a->j[j]*bs; x_r = x_l + 1.0; 1662 aa = a->a + j*bs2; 1663 for (k=0; k<bs; k++) { 1664 for (l=0; l<bs; l++) { 1665 MatScalar v = *aa++; 1666 color = PetscDrawRealToColor(PetscAbsScalar(v),minv,maxv); 1667 ierr = PetscDrawRectangle(draw,x_l+k,y_l-l,x_r+k,y_r-l,color,color,color,color);CHKERRQ(ierr); 1668 } 1669 } 1670 } 1671 } 1672 ierr = PetscDrawCollectiveEnd(draw);CHKERRQ(ierr); 1673 } 1674 PetscFunctionReturn(0); 1675 } 1676 1677 static PetscErrorCode MatView_SeqBAIJ_Draw(Mat A,PetscViewer viewer) 1678 { 1679 PetscErrorCode ierr; 1680 PetscReal xl,yl,xr,yr,w,h; 1681 PetscDraw draw; 1682 PetscBool isnull; 1683 1684 PetscFunctionBegin; 1685 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 1686 ierr = PetscDrawIsNull(draw,&isnull);CHKERRQ(ierr); 1687 if (isnull) PetscFunctionReturn(0); 1688 1689 xr = A->cmap->n; yr = A->rmap->N; h = yr/10.0; w = xr/10.0; 1690 xr += w; yr += h; xl = -w; yl = -h; 1691 ierr = PetscDrawSetCoordinates(draw,xl,yl,xr,yr);CHKERRQ(ierr); 1692 ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",(PetscObject)viewer);CHKERRQ(ierr); 1693 ierr = PetscDrawZoom(draw,MatView_SeqBAIJ_Draw_Zoom,A);CHKERRQ(ierr); 1694 ierr = PetscObjectCompose((PetscObject)A,"Zoomviewer",NULL);CHKERRQ(ierr); 1695 ierr = PetscDrawSave(draw);CHKERRQ(ierr); 1696 PetscFunctionReturn(0); 1697 } 1698 1699 PetscErrorCode MatView_SeqBAIJ(Mat A,PetscViewer viewer) 1700 { 1701 PetscErrorCode ierr; 1702 PetscBool iascii,isbinary,isdraw; 1703 1704 PetscFunctionBegin; 1705 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 1706 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 1707 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr); 1708 if (iascii) { 1709 ierr = MatView_SeqBAIJ_ASCII(A,viewer);CHKERRQ(ierr); 1710 } else if (isbinary) { 1711 ierr = MatView_SeqBAIJ_Binary(A,viewer);CHKERRQ(ierr); 1712 } else if (isdraw) { 1713 ierr = MatView_SeqBAIJ_Draw(A,viewer);CHKERRQ(ierr); 1714 } else { 1715 Mat B; 1716 ierr = MatConvert(A,MATSEQAIJ,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr); 1717 ierr = MatView(B,viewer);CHKERRQ(ierr); 1718 ierr = MatDestroy(&B);CHKERRQ(ierr); 1719 } 1720 PetscFunctionReturn(0); 1721 } 1722 1723 1724 PetscErrorCode MatGetValues_SeqBAIJ(Mat A,PetscInt m,const PetscInt im[],PetscInt n,const PetscInt in[],PetscScalar v[]) 1725 { 1726 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1727 PetscInt *rp,k,low,high,t,row,nrow,i,col,l,*aj = a->j; 1728 PetscInt *ai = a->i,*ailen = a->ilen; 1729 PetscInt brow,bcol,ridx,cidx,bs=A->rmap->bs,bs2=a->bs2; 1730 MatScalar *ap,*aa = a->a; 1731 1732 PetscFunctionBegin; 1733 for (k=0; k<m; k++) { /* loop over rows */ 1734 row = im[k]; brow = row/bs; 1735 if (row < 0) {v += n; continue;} /* SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative row"); */ 1736 if (row >= A->rmap->N) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row %D too large", row); 1737 rp = aj + ai[brow]; ap = aa + bs2*ai[brow]; 1738 nrow = ailen[brow]; 1739 for (l=0; l<n; l++) { /* loop over columns */ 1740 if (in[l] < 0) {v++; continue;} /* SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative column"); */ 1741 if (in[l] >= A->cmap->n) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column %D too large", in[l]); 1742 col = in[l]; 1743 bcol = col/bs; 1744 cidx = col%bs; 1745 ridx = row%bs; 1746 high = nrow; 1747 low = 0; /* assume unsorted */ 1748 while (high-low > 5) { 1749 t = (low+high)/2; 1750 if (rp[t] > bcol) high = t; 1751 else low = t; 1752 } 1753 for (i=low; i<high; i++) { 1754 if (rp[i] > bcol) break; 1755 if (rp[i] == bcol) { 1756 *v++ = ap[bs2*i+bs*cidx+ridx]; 1757 goto finished; 1758 } 1759 } 1760 *v++ = 0.0; 1761 finished:; 1762 } 1763 } 1764 PetscFunctionReturn(0); 1765 } 1766 1767 PetscErrorCode MatSetValuesBlocked_SeqBAIJ(Mat A,PetscInt m,const PetscInt im[],PetscInt n,const PetscInt in[],const PetscScalar v[],InsertMode is) 1768 { 1769 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1770 PetscInt *rp,k,low,high,t,ii,jj,row,nrow,i,col,l,rmax,N,lastcol = -1; 1771 PetscInt *imax=a->imax,*ai=a->i,*ailen=a->ilen; 1772 PetscErrorCode ierr; 1773 PetscInt *aj =a->j,nonew=a->nonew,bs2=a->bs2,bs=A->rmap->bs,stepval; 1774 PetscBool roworiented=a->roworiented; 1775 const PetscScalar *value = v; 1776 MatScalar *ap=NULL,*aa = a->a,*bap; 1777 1778 PetscFunctionBegin; 1779 if (roworiented) { 1780 stepval = (n-1)*bs; 1781 } else { 1782 stepval = (m-1)*bs; 1783 } 1784 for (k=0; k<m; k++) { /* loop over added rows */ 1785 row = im[k]; 1786 if (row < 0) continue; 1787 if (PetscUnlikelyDebug(row >= a->mbs)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Block row index too large %D max %D",row,a->mbs-1); 1788 rp = aj + ai[row]; 1789 if (!A->structure_only) ap = aa + bs2*ai[row]; 1790 rmax = imax[row]; 1791 nrow = ailen[row]; 1792 low = 0; 1793 high = nrow; 1794 for (l=0; l<n; l++) { /* loop over added columns */ 1795 if (in[l] < 0) continue; 1796 if (PetscUnlikelyDebug(in[l] >= a->nbs)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Block column index too large %D max %D",in[l],a->nbs-1); 1797 col = in[l]; 1798 if (!A->structure_only) { 1799 if (roworiented) { 1800 value = v + (k*(stepval+bs) + l)*bs; 1801 } else { 1802 value = v + (l*(stepval+bs) + k)*bs; 1803 } 1804 } 1805 if (col <= lastcol) low = 0; 1806 else high = nrow; 1807 lastcol = col; 1808 while (high-low > 7) { 1809 t = (low+high)/2; 1810 if (rp[t] > col) high = t; 1811 else low = t; 1812 } 1813 for (i=low; i<high; i++) { 1814 if (rp[i] > col) break; 1815 if (rp[i] == col) { 1816 if (A->structure_only) goto noinsert2; 1817 bap = ap + bs2*i; 1818 if (roworiented) { 1819 if (is == ADD_VALUES) { 1820 for (ii=0; ii<bs; ii++,value+=stepval) { 1821 for (jj=ii; jj<bs2; jj+=bs) { 1822 bap[jj] += *value++; 1823 } 1824 } 1825 } else { 1826 for (ii=0; ii<bs; ii++,value+=stepval) { 1827 for (jj=ii; jj<bs2; jj+=bs) { 1828 bap[jj] = *value++; 1829 } 1830 } 1831 } 1832 } else { 1833 if (is == ADD_VALUES) { 1834 for (ii=0; ii<bs; ii++,value+=bs+stepval) { 1835 for (jj=0; jj<bs; jj++) { 1836 bap[jj] += value[jj]; 1837 } 1838 bap += bs; 1839 } 1840 } else { 1841 for (ii=0; ii<bs; ii++,value+=bs+stepval) { 1842 for (jj=0; jj<bs; jj++) { 1843 bap[jj] = value[jj]; 1844 } 1845 bap += bs; 1846 } 1847 } 1848 } 1849 goto noinsert2; 1850 } 1851 } 1852 if (nonew == 1) goto noinsert2; 1853 if (nonew == -1) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Inserting a new blocked index new nonzero block (%D, %D) in the matrix", row, col); 1854 if (A->structure_only) { 1855 MatSeqXAIJReallocateAIJ_structure_only(A,a->mbs,bs2,nrow,row,col,rmax,ai,aj,rp,imax,nonew,MatScalar); 1856 } else { 1857 MatSeqXAIJReallocateAIJ(A,a->mbs,bs2,nrow,row,col,rmax,aa,ai,aj,rp,ap,imax,nonew,MatScalar); 1858 } 1859 N = nrow++ - 1; high++; 1860 /* shift up all the later entries in this row */ 1861 ierr = PetscArraymove(rp+i+1,rp+i,N-i+1);CHKERRQ(ierr); 1862 rp[i] = col; 1863 if (!A->structure_only) { 1864 ierr = PetscArraymove(ap+bs2*(i+1),ap+bs2*i,bs2*(N-i+1));CHKERRQ(ierr); 1865 bap = ap + bs2*i; 1866 if (roworiented) { 1867 for (ii=0; ii<bs; ii++,value+=stepval) { 1868 for (jj=ii; jj<bs2; jj+=bs) { 1869 bap[jj] = *value++; 1870 } 1871 } 1872 } else { 1873 for (ii=0; ii<bs; ii++,value+=stepval) { 1874 for (jj=0; jj<bs; jj++) { 1875 *bap++ = *value++; 1876 } 1877 } 1878 } 1879 } 1880 noinsert2:; 1881 low = i; 1882 } 1883 ailen[row] = nrow; 1884 } 1885 PetscFunctionReturn(0); 1886 } 1887 1888 PetscErrorCode MatAssemblyEnd_SeqBAIJ(Mat A,MatAssemblyType mode) 1889 { 1890 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 1891 PetscInt fshift = 0,i,*ai = a->i,*aj = a->j,*imax = a->imax; 1892 PetscInt m = A->rmap->N,*ip,N,*ailen = a->ilen; 1893 PetscErrorCode ierr; 1894 PetscInt mbs = a->mbs,bs2 = a->bs2,rmax = 0; 1895 MatScalar *aa = a->a,*ap; 1896 PetscReal ratio=0.6; 1897 1898 PetscFunctionBegin; 1899 if (mode == MAT_FLUSH_ASSEMBLY) PetscFunctionReturn(0); 1900 1901 if (m) rmax = ailen[0]; 1902 for (i=1; i<mbs; i++) { 1903 /* move each row back by the amount of empty slots (fshift) before it*/ 1904 fshift += imax[i-1] - ailen[i-1]; 1905 rmax = PetscMax(rmax,ailen[i]); 1906 if (fshift) { 1907 ip = aj + ai[i]; 1908 ap = aa + bs2*ai[i]; 1909 N = ailen[i]; 1910 ierr = PetscArraymove(ip-fshift,ip,N);CHKERRQ(ierr); 1911 if (!A->structure_only) { 1912 ierr = PetscArraymove(ap-bs2*fshift,ap,bs2*N);CHKERRQ(ierr); 1913 } 1914 } 1915 ai[i] = ai[i-1] + ailen[i-1]; 1916 } 1917 if (mbs) { 1918 fshift += imax[mbs-1] - ailen[mbs-1]; 1919 ai[mbs] = ai[mbs-1] + ailen[mbs-1]; 1920 } 1921 1922 /* reset ilen and imax for each row */ 1923 a->nonzerorowcnt = 0; 1924 if (A->structure_only) { 1925 ierr = PetscFree2(a->imax,a->ilen);CHKERRQ(ierr); 1926 } else { /* !A->structure_only */ 1927 for (i=0; i<mbs; i++) { 1928 ailen[i] = imax[i] = ai[i+1] - ai[i]; 1929 a->nonzerorowcnt += ((ai[i+1] - ai[i]) > 0); 1930 } 1931 } 1932 a->nz = ai[mbs]; 1933 1934 /* diagonals may have moved, so kill the diagonal pointers */ 1935 a->idiagvalid = PETSC_FALSE; 1936 if (fshift && a->diag) { 1937 ierr = PetscFree(a->diag);CHKERRQ(ierr); 1938 ierr = PetscLogObjectMemory((PetscObject)A,-(mbs+1)*sizeof(PetscInt));CHKERRQ(ierr); 1939 a->diag = NULL; 1940 } 1941 if (fshift && a->nounused == -1) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_PLIB, "Unused space detected in matrix: %D X %D block size %D, %D unneeded", m, A->cmap->n, A->rmap->bs, fshift*bs2); 1942 ierr = PetscInfo5(A,"Matrix size: %D X %D, block size %D; storage space: %D unneeded, %D used\n",m,A->cmap->n,A->rmap->bs,fshift*bs2,a->nz*bs2);CHKERRQ(ierr); 1943 ierr = PetscInfo1(A,"Number of mallocs during MatSetValues is %D\n",a->reallocs);CHKERRQ(ierr); 1944 ierr = PetscInfo1(A,"Most nonzeros blocks in any row is %D\n",rmax);CHKERRQ(ierr); 1945 1946 A->info.mallocs += a->reallocs; 1947 a->reallocs = 0; 1948 A->info.nz_unneeded = (PetscReal)fshift*bs2; 1949 a->rmax = rmax; 1950 1951 if (!A->structure_only) { 1952 ierr = MatCheckCompressedRow(A,a->nonzerorowcnt,&a->compressedrow,a->i,mbs,ratio);CHKERRQ(ierr); 1953 } 1954 PetscFunctionReturn(0); 1955 } 1956 1957 /* 1958 This function returns an array of flags which indicate the locations of contiguous 1959 blocks that should be zeroed. for eg: if bs = 3 and is = [0,1,2,3,5,6,7,8,9] 1960 then the resulting sizes = [3,1,1,3,1] correspondig to sets [(0,1,2),(3),(5),(6,7,8),(9)] 1961 Assume: sizes should be long enough to hold all the values. 1962 */ 1963 static PetscErrorCode MatZeroRows_SeqBAIJ_Check_Blocks(PetscInt idx[],PetscInt n,PetscInt bs,PetscInt sizes[], PetscInt *bs_max) 1964 { 1965 PetscInt i,j,k,row; 1966 PetscBool flg; 1967 1968 PetscFunctionBegin; 1969 for (i=0,j=0; i<n; j++) { 1970 row = idx[i]; 1971 if (row%bs!=0) { /* Not the begining of a block */ 1972 sizes[j] = 1; 1973 i++; 1974 } else if (i+bs > n) { /* complete block doesn't exist (at idx end) */ 1975 sizes[j] = 1; /* Also makes sure atleast 'bs' values exist for next else */ 1976 i++; 1977 } else { /* Begining of the block, so check if the complete block exists */ 1978 flg = PETSC_TRUE; 1979 for (k=1; k<bs; k++) { 1980 if (row+k != idx[i+k]) { /* break in the block */ 1981 flg = PETSC_FALSE; 1982 break; 1983 } 1984 } 1985 if (flg) { /* No break in the bs */ 1986 sizes[j] = bs; 1987 i += bs; 1988 } else { 1989 sizes[j] = 1; 1990 i++; 1991 } 1992 } 1993 } 1994 *bs_max = j; 1995 PetscFunctionReturn(0); 1996 } 1997 1998 PetscErrorCode MatZeroRows_SeqBAIJ(Mat A,PetscInt is_n,const PetscInt is_idx[],PetscScalar diag,Vec x, Vec b) 1999 { 2000 Mat_SeqBAIJ *baij=(Mat_SeqBAIJ*)A->data; 2001 PetscErrorCode ierr; 2002 PetscInt i,j,k,count,*rows; 2003 PetscInt bs=A->rmap->bs,bs2=baij->bs2,*sizes,row,bs_max; 2004 PetscScalar zero = 0.0; 2005 MatScalar *aa; 2006 const PetscScalar *xx; 2007 PetscScalar *bb; 2008 2009 PetscFunctionBegin; 2010 /* fix right hand side if needed */ 2011 if (x && b) { 2012 ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr); 2013 ierr = VecGetArray(b,&bb);CHKERRQ(ierr); 2014 for (i=0; i<is_n; i++) { 2015 bb[is_idx[i]] = diag*xx[is_idx[i]]; 2016 } 2017 ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr); 2018 ierr = VecRestoreArray(b,&bb);CHKERRQ(ierr); 2019 } 2020 2021 /* Make a copy of the IS and sort it */ 2022 /* allocate memory for rows,sizes */ 2023 ierr = PetscMalloc2(is_n,&rows,2*is_n,&sizes);CHKERRQ(ierr); 2024 2025 /* copy IS values to rows, and sort them */ 2026 for (i=0; i<is_n; i++) rows[i] = is_idx[i]; 2027 ierr = PetscSortInt(is_n,rows);CHKERRQ(ierr); 2028 2029 if (baij->keepnonzeropattern) { 2030 for (i=0; i<is_n; i++) sizes[i] = 1; 2031 bs_max = is_n; 2032 } else { 2033 ierr = MatZeroRows_SeqBAIJ_Check_Blocks(rows,is_n,bs,sizes,&bs_max);CHKERRQ(ierr); 2034 A->nonzerostate++; 2035 } 2036 2037 for (i=0,j=0; i<bs_max; j+=sizes[i],i++) { 2038 row = rows[j]; 2039 if (row < 0 || row > A->rmap->N) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"row %D out of range",row); 2040 count = (baij->i[row/bs +1] - baij->i[row/bs])*bs; 2041 aa = ((MatScalar*)(baij->a)) + baij->i[row/bs]*bs2 + (row%bs); 2042 if (sizes[i] == bs && !baij->keepnonzeropattern) { 2043 if (diag != (PetscScalar)0.0) { 2044 if (baij->ilen[row/bs] > 0) { 2045 baij->ilen[row/bs] = 1; 2046 baij->j[baij->i[row/bs]] = row/bs; 2047 2048 ierr = PetscArrayzero(aa,count*bs);CHKERRQ(ierr); 2049 } 2050 /* Now insert all the diagonal values for this bs */ 2051 for (k=0; k<bs; k++) { 2052 ierr = (*A->ops->setvalues)(A,1,rows+j+k,1,rows+j+k,&diag,INSERT_VALUES);CHKERRQ(ierr); 2053 } 2054 } else { /* (diag == 0.0) */ 2055 baij->ilen[row/bs] = 0; 2056 } /* end (diag == 0.0) */ 2057 } else { /* (sizes[i] != bs) */ 2058 if (PetscUnlikelyDebug(sizes[i] != 1)) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Internal Error. Value should be 1"); 2059 for (k=0; k<count; k++) { 2060 aa[0] = zero; 2061 aa += bs; 2062 } 2063 if (diag != (PetscScalar)0.0) { 2064 ierr = (*A->ops->setvalues)(A,1,rows+j,1,rows+j,&diag,INSERT_VALUES);CHKERRQ(ierr); 2065 } 2066 } 2067 } 2068 2069 ierr = PetscFree2(rows,sizes);CHKERRQ(ierr); 2070 ierr = MatAssemblyEnd_SeqBAIJ(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2071 PetscFunctionReturn(0); 2072 } 2073 2074 PetscErrorCode MatZeroRowsColumns_SeqBAIJ(Mat A,PetscInt is_n,const PetscInt is_idx[],PetscScalar diag,Vec x, Vec b) 2075 { 2076 Mat_SeqBAIJ *baij=(Mat_SeqBAIJ*)A->data; 2077 PetscErrorCode ierr; 2078 PetscInt i,j,k,count; 2079 PetscInt bs =A->rmap->bs,bs2=baij->bs2,row,col; 2080 PetscScalar zero = 0.0; 2081 MatScalar *aa; 2082 const PetscScalar *xx; 2083 PetscScalar *bb; 2084 PetscBool *zeroed,vecs = PETSC_FALSE; 2085 2086 PetscFunctionBegin; 2087 /* fix right hand side if needed */ 2088 if (x && b) { 2089 ierr = VecGetArrayRead(x,&xx);CHKERRQ(ierr); 2090 ierr = VecGetArray(b,&bb);CHKERRQ(ierr); 2091 vecs = PETSC_TRUE; 2092 } 2093 2094 /* zero the columns */ 2095 ierr = PetscCalloc1(A->rmap->n,&zeroed);CHKERRQ(ierr); 2096 for (i=0; i<is_n; i++) { 2097 if (is_idx[i] < 0 || is_idx[i] >= A->rmap->N) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"row %D out of range",is_idx[i]); 2098 zeroed[is_idx[i]] = PETSC_TRUE; 2099 } 2100 for (i=0; i<A->rmap->N; i++) { 2101 if (!zeroed[i]) { 2102 row = i/bs; 2103 for (j=baij->i[row]; j<baij->i[row+1]; j++) { 2104 for (k=0; k<bs; k++) { 2105 col = bs*baij->j[j] + k; 2106 if (zeroed[col]) { 2107 aa = ((MatScalar*)(baij->a)) + j*bs2 + (i%bs) + bs*k; 2108 if (vecs) bb[i] -= aa[0]*xx[col]; 2109 aa[0] = 0.0; 2110 } 2111 } 2112 } 2113 } else if (vecs) bb[i] = diag*xx[i]; 2114 } 2115 ierr = PetscFree(zeroed);CHKERRQ(ierr); 2116 if (vecs) { 2117 ierr = VecRestoreArrayRead(x,&xx);CHKERRQ(ierr); 2118 ierr = VecRestoreArray(b,&bb);CHKERRQ(ierr); 2119 } 2120 2121 /* zero the rows */ 2122 for (i=0; i<is_n; i++) { 2123 row = is_idx[i]; 2124 count = (baij->i[row/bs +1] - baij->i[row/bs])*bs; 2125 aa = ((MatScalar*)(baij->a)) + baij->i[row/bs]*bs2 + (row%bs); 2126 for (k=0; k<count; k++) { 2127 aa[0] = zero; 2128 aa += bs; 2129 } 2130 if (diag != (PetscScalar)0.0) { 2131 ierr = (*A->ops->setvalues)(A,1,&row,1,&row,&diag,INSERT_VALUES);CHKERRQ(ierr); 2132 } 2133 } 2134 ierr = MatAssemblyEnd_SeqBAIJ(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2135 PetscFunctionReturn(0); 2136 } 2137 2138 PetscErrorCode MatSetValues_SeqBAIJ(Mat A,PetscInt m,const PetscInt im[],PetscInt n,const PetscInt in[],const PetscScalar v[],InsertMode is) 2139 { 2140 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 2141 PetscInt *rp,k,low,high,t,ii,row,nrow,i,col,l,rmax,N,lastcol = -1; 2142 PetscInt *imax=a->imax,*ai=a->i,*ailen=a->ilen; 2143 PetscInt *aj =a->j,nonew=a->nonew,bs=A->rmap->bs,brow,bcol; 2144 PetscErrorCode ierr; 2145 PetscInt ridx,cidx,bs2=a->bs2; 2146 PetscBool roworiented=a->roworiented; 2147 MatScalar *ap=NULL,value=0.0,*aa=a->a,*bap; 2148 2149 PetscFunctionBegin; 2150 for (k=0; k<m; k++) { /* loop over added rows */ 2151 row = im[k]; 2152 brow = row/bs; 2153 if (row < 0) continue; 2154 if (PetscUnlikelyDebug(row >= A->rmap->N)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Row too large: row %D max %D",row,A->rmap->N-1); 2155 rp = aj + ai[brow]; 2156 if (!A->structure_only) ap = aa + bs2*ai[brow]; 2157 rmax = imax[brow]; 2158 nrow = ailen[brow]; 2159 low = 0; 2160 high = nrow; 2161 for (l=0; l<n; l++) { /* loop over added columns */ 2162 if (in[l] < 0) continue; 2163 if (PetscUnlikelyDebug(in[l] >= A->cmap->n)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column too large: col %D max %D",in[l],A->cmap->n-1); 2164 col = in[l]; bcol = col/bs; 2165 ridx = row % bs; cidx = col % bs; 2166 if (!A->structure_only) { 2167 if (roworiented) { 2168 value = v[l + k*n]; 2169 } else { 2170 value = v[k + l*m]; 2171 } 2172 } 2173 if (col <= lastcol) low = 0; else high = nrow; 2174 lastcol = col; 2175 while (high-low > 7) { 2176 t = (low+high)/2; 2177 if (rp[t] > bcol) high = t; 2178 else low = t; 2179 } 2180 for (i=low; i<high; i++) { 2181 if (rp[i] > bcol) break; 2182 if (rp[i] == bcol) { 2183 bap = ap + bs2*i + bs*cidx + ridx; 2184 if (!A->structure_only) { 2185 if (is == ADD_VALUES) *bap += value; 2186 else *bap = value; 2187 } 2188 goto noinsert1; 2189 } 2190 } 2191 if (nonew == 1) goto noinsert1; 2192 if (nonew == -1) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Inserting a new nonzero (%D, %D) in the matrix", row, col); 2193 if (A->structure_only) { 2194 MatSeqXAIJReallocateAIJ_structure_only(A,a->mbs,bs2,nrow,brow,bcol,rmax,ai,aj,rp,imax,nonew,MatScalar); 2195 } else { 2196 MatSeqXAIJReallocateAIJ(A,a->mbs,bs2,nrow,brow,bcol,rmax,aa,ai,aj,rp,ap,imax,nonew,MatScalar); 2197 } 2198 N = nrow++ - 1; high++; 2199 /* shift up all the later entries in this row */ 2200 ierr = PetscArraymove(rp+i+1,rp+i,N-i+1);CHKERRQ(ierr); 2201 rp[i] = bcol; 2202 if (!A->structure_only) { 2203 ierr = PetscArraymove(ap+bs2*(i+1),ap+bs2*i,bs2*(N-i+1));CHKERRQ(ierr); 2204 ierr = PetscArrayzero(ap+bs2*i,bs2);CHKERRQ(ierr); 2205 ap[bs2*i + bs*cidx + ridx] = value; 2206 } 2207 a->nz++; 2208 A->nonzerostate++; 2209 noinsert1:; 2210 low = i; 2211 } 2212 ailen[brow] = nrow; 2213 } 2214 PetscFunctionReturn(0); 2215 } 2216 2217 PetscErrorCode MatILUFactor_SeqBAIJ(Mat inA,IS row,IS col,const MatFactorInfo *info) 2218 { 2219 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)inA->data; 2220 Mat outA; 2221 PetscErrorCode ierr; 2222 PetscBool row_identity,col_identity; 2223 2224 PetscFunctionBegin; 2225 if (info->levels != 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Only levels = 0 supported for in-place ILU"); 2226 ierr = ISIdentity(row,&row_identity);CHKERRQ(ierr); 2227 ierr = ISIdentity(col,&col_identity);CHKERRQ(ierr); 2228 if (!row_identity || !col_identity) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Row and column permutations must be identity for in-place ILU"); 2229 2230 outA = inA; 2231 inA->factortype = MAT_FACTOR_LU; 2232 ierr = PetscFree(inA->solvertype);CHKERRQ(ierr); 2233 ierr = PetscStrallocpy(MATSOLVERPETSC,&inA->solvertype);CHKERRQ(ierr); 2234 2235 ierr = MatMarkDiagonal_SeqBAIJ(inA);CHKERRQ(ierr); 2236 2237 ierr = PetscObjectReference((PetscObject)row);CHKERRQ(ierr); 2238 ierr = ISDestroy(&a->row);CHKERRQ(ierr); 2239 a->row = row; 2240 ierr = PetscObjectReference((PetscObject)col);CHKERRQ(ierr); 2241 ierr = ISDestroy(&a->col);CHKERRQ(ierr); 2242 a->col = col; 2243 2244 /* Create the invert permutation so that it can be used in MatLUFactorNumeric() */ 2245 ierr = ISDestroy(&a->icol);CHKERRQ(ierr); 2246 ierr = ISInvertPermutation(col,PETSC_DECIDE,&a->icol);CHKERRQ(ierr); 2247 ierr = PetscLogObjectParent((PetscObject)inA,(PetscObject)a->icol);CHKERRQ(ierr); 2248 2249 ierr = MatSeqBAIJSetNumericFactorization_inplace(inA,(PetscBool)(row_identity && col_identity));CHKERRQ(ierr); 2250 if (!a->solve_work) { 2251 ierr = PetscMalloc1(inA->rmap->N+inA->rmap->bs,&a->solve_work);CHKERRQ(ierr); 2252 ierr = PetscLogObjectMemory((PetscObject)inA,(inA->rmap->N+inA->rmap->bs)*sizeof(PetscScalar));CHKERRQ(ierr); 2253 } 2254 ierr = MatLUFactorNumeric(outA,inA,info);CHKERRQ(ierr); 2255 PetscFunctionReturn(0); 2256 } 2257 2258 PetscErrorCode MatSeqBAIJSetColumnIndices_SeqBAIJ(Mat mat,PetscInt *indices) 2259 { 2260 Mat_SeqBAIJ *baij = (Mat_SeqBAIJ*)mat->data; 2261 PetscInt i,nz,mbs; 2262 2263 PetscFunctionBegin; 2264 nz = baij->maxnz; 2265 mbs = baij->mbs; 2266 for (i=0; i<nz; i++) { 2267 baij->j[i] = indices[i]; 2268 } 2269 baij->nz = nz; 2270 for (i=0; i<mbs; i++) { 2271 baij->ilen[i] = baij->imax[i]; 2272 } 2273 PetscFunctionReturn(0); 2274 } 2275 2276 /*@ 2277 MatSeqBAIJSetColumnIndices - Set the column indices for all the rows 2278 in the matrix. 2279 2280 Input Parameters: 2281 + mat - the SeqBAIJ matrix 2282 - indices - the column indices 2283 2284 Level: advanced 2285 2286 Notes: 2287 This can be called if you have precomputed the nonzero structure of the 2288 matrix and want to provide it to the matrix object to improve the performance 2289 of the MatSetValues() operation. 2290 2291 You MUST have set the correct numbers of nonzeros per row in the call to 2292 MatCreateSeqBAIJ(), and the columns indices MUST be sorted. 2293 2294 MUST be called before any calls to MatSetValues(); 2295 2296 @*/ 2297 PetscErrorCode MatSeqBAIJSetColumnIndices(Mat mat,PetscInt *indices) 2298 { 2299 PetscErrorCode ierr; 2300 2301 PetscFunctionBegin; 2302 PetscValidHeaderSpecific(mat,MAT_CLASSID,1); 2303 PetscValidPointer(indices,2); 2304 ierr = PetscUseMethod(mat,"MatSeqBAIJSetColumnIndices_C",(Mat,PetscInt*),(mat,indices));CHKERRQ(ierr); 2305 PetscFunctionReturn(0); 2306 } 2307 2308 PetscErrorCode MatGetRowMaxAbs_SeqBAIJ(Mat A,Vec v,PetscInt idx[]) 2309 { 2310 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 2311 PetscErrorCode ierr; 2312 PetscInt i,j,n,row,bs,*ai,*aj,mbs; 2313 PetscReal atmp; 2314 PetscScalar *x,zero = 0.0; 2315 MatScalar *aa; 2316 PetscInt ncols,brow,krow,kcol; 2317 2318 PetscFunctionBegin; 2319 if (A->factortype) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"Not for factored matrix"); 2320 bs = A->rmap->bs; 2321 aa = a->a; 2322 ai = a->i; 2323 aj = a->j; 2324 mbs = a->mbs; 2325 2326 ierr = VecSet(v,zero);CHKERRQ(ierr); 2327 ierr = VecGetArray(v,&x);CHKERRQ(ierr); 2328 ierr = VecGetLocalSize(v,&n);CHKERRQ(ierr); 2329 if (n != A->rmap->N) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Nonconforming matrix and vector"); 2330 for (i=0; i<mbs; i++) { 2331 ncols = ai[1] - ai[0]; ai++; 2332 brow = bs*i; 2333 for (j=0; j<ncols; j++) { 2334 for (kcol=0; kcol<bs; kcol++) { 2335 for (krow=0; krow<bs; krow++) { 2336 atmp = PetscAbsScalar(*aa);aa++; 2337 row = brow + krow; /* row index */ 2338 if (PetscAbsScalar(x[row]) < atmp) {x[row] = atmp; if (idx) idx[row] = bs*(*aj) + kcol;} 2339 } 2340 } 2341 aj++; 2342 } 2343 } 2344 ierr = VecRestoreArray(v,&x);CHKERRQ(ierr); 2345 PetscFunctionReturn(0); 2346 } 2347 2348 PetscErrorCode MatCopy_SeqBAIJ(Mat A,Mat B,MatStructure str) 2349 { 2350 PetscErrorCode ierr; 2351 2352 PetscFunctionBegin; 2353 /* If the two matrices have the same copy implementation, use fast copy. */ 2354 if (str == SAME_NONZERO_PATTERN && (A->ops->copy == B->ops->copy)) { 2355 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 2356 Mat_SeqBAIJ *b = (Mat_SeqBAIJ*)B->data; 2357 PetscInt ambs=a->mbs,bmbs=b->mbs,abs=A->rmap->bs,bbs=B->rmap->bs,bs2=abs*abs; 2358 2359 if (a->i[ambs] != b->i[bmbs]) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Number of nonzero blocks in matrices A %D and B %D are different",a->i[ambs],b->i[bmbs]); 2360 if (abs != bbs) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Block size A %D and B %D are different",abs,bbs); 2361 ierr = PetscArraycpy(b->a,a->a,bs2*a->i[ambs]);CHKERRQ(ierr); 2362 ierr = PetscObjectStateIncrease((PetscObject)B);CHKERRQ(ierr); 2363 } else { 2364 ierr = MatCopy_Basic(A,B,str);CHKERRQ(ierr); 2365 } 2366 PetscFunctionReturn(0); 2367 } 2368 2369 PetscErrorCode MatSetUp_SeqBAIJ(Mat A) 2370 { 2371 PetscErrorCode ierr; 2372 2373 PetscFunctionBegin; 2374 ierr = MatSeqBAIJSetPreallocation(A,A->rmap->bs,PETSC_DEFAULT,NULL);CHKERRQ(ierr); 2375 PetscFunctionReturn(0); 2376 } 2377 2378 static PetscErrorCode MatSeqBAIJGetArray_SeqBAIJ(Mat A,PetscScalar *array[]) 2379 { 2380 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 2381 2382 PetscFunctionBegin; 2383 *array = a->a; 2384 PetscFunctionReturn(0); 2385 } 2386 2387 static PetscErrorCode MatSeqBAIJRestoreArray_SeqBAIJ(Mat A,PetscScalar *array[]) 2388 { 2389 PetscFunctionBegin; 2390 *array = NULL; 2391 PetscFunctionReturn(0); 2392 } 2393 2394 PetscErrorCode MatAXPYGetPreallocation_SeqBAIJ(Mat Y,Mat X,PetscInt *nnz) 2395 { 2396 PetscInt bs = Y->rmap->bs,mbs = Y->rmap->N/bs; 2397 Mat_SeqBAIJ *x = (Mat_SeqBAIJ*)X->data; 2398 Mat_SeqBAIJ *y = (Mat_SeqBAIJ*)Y->data; 2399 PetscErrorCode ierr; 2400 2401 PetscFunctionBegin; 2402 /* Set the number of nonzeros in the new matrix */ 2403 ierr = MatAXPYGetPreallocation_SeqX_private(mbs,x->i,x->j,y->i,y->j,nnz);CHKERRQ(ierr); 2404 PetscFunctionReturn(0); 2405 } 2406 2407 PetscErrorCode MatAXPY_SeqBAIJ(Mat Y,PetscScalar a,Mat X,MatStructure str) 2408 { 2409 Mat_SeqBAIJ *x = (Mat_SeqBAIJ*)X->data,*y = (Mat_SeqBAIJ*)Y->data; 2410 PetscErrorCode ierr; 2411 PetscInt bs=Y->rmap->bs,bs2=bs*bs; 2412 PetscBLASInt one=1; 2413 2414 PetscFunctionBegin; 2415 if (str == SAME_NONZERO_PATTERN) { 2416 PetscScalar alpha = a; 2417 PetscBLASInt bnz; 2418 ierr = PetscBLASIntCast(x->nz*bs2,&bnz);CHKERRQ(ierr); 2419 PetscStackCallBLAS("BLASaxpy",BLASaxpy_(&bnz,&alpha,x->a,&one,y->a,&one)); 2420 ierr = PetscObjectStateIncrease((PetscObject)Y);CHKERRQ(ierr); 2421 } else if (str == SUBSET_NONZERO_PATTERN) { /* nonzeros of X is a subset of Y's */ 2422 ierr = MatAXPY_Basic(Y,a,X,str);CHKERRQ(ierr); 2423 } else { 2424 Mat B; 2425 PetscInt *nnz; 2426 if (bs != X->rmap->bs) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Matrices must have same block size"); 2427 ierr = PetscMalloc1(Y->rmap->N,&nnz);CHKERRQ(ierr); 2428 ierr = MatCreate(PetscObjectComm((PetscObject)Y),&B);CHKERRQ(ierr); 2429 ierr = PetscObjectSetName((PetscObject)B,((PetscObject)Y)->name);CHKERRQ(ierr); 2430 ierr = MatSetSizes(B,Y->rmap->n,Y->cmap->n,Y->rmap->N,Y->cmap->N);CHKERRQ(ierr); 2431 ierr = MatSetBlockSizesFromMats(B,Y,Y);CHKERRQ(ierr); 2432 ierr = MatSetType(B,(MatType) ((PetscObject)Y)->type_name);CHKERRQ(ierr); 2433 ierr = MatAXPYGetPreallocation_SeqBAIJ(Y,X,nnz);CHKERRQ(ierr); 2434 ierr = MatSeqBAIJSetPreallocation(B,bs,0,nnz);CHKERRQ(ierr); 2435 ierr = MatAXPY_BasicWithPreallocation(B,Y,a,X,str);CHKERRQ(ierr); 2436 ierr = MatHeaderReplace(Y,&B);CHKERRQ(ierr); 2437 ierr = PetscFree(nnz);CHKERRQ(ierr); 2438 } 2439 PetscFunctionReturn(0); 2440 } 2441 2442 PETSC_INTERN PetscErrorCode MatConjugate_SeqBAIJ(Mat A) 2443 { 2444 #if defined(PETSC_USE_COMPLEX) 2445 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 2446 PetscInt i,nz = a->bs2*a->i[a->mbs]; 2447 MatScalar *aa = a->a; 2448 2449 PetscFunctionBegin; 2450 for (i=0; i<nz; i++) aa[i] = PetscConj(aa[i]); 2451 #else 2452 PetscFunctionBegin; 2453 #endif 2454 PetscFunctionReturn(0); 2455 } 2456 2457 PetscErrorCode MatRealPart_SeqBAIJ(Mat A) 2458 { 2459 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 2460 PetscInt i,nz = a->bs2*a->i[a->mbs]; 2461 MatScalar *aa = a->a; 2462 2463 PetscFunctionBegin; 2464 for (i=0; i<nz; i++) aa[i] = PetscRealPart(aa[i]); 2465 PetscFunctionReturn(0); 2466 } 2467 2468 PetscErrorCode MatImaginaryPart_SeqBAIJ(Mat A) 2469 { 2470 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 2471 PetscInt i,nz = a->bs2*a->i[a->mbs]; 2472 MatScalar *aa = a->a; 2473 2474 PetscFunctionBegin; 2475 for (i=0; i<nz; i++) aa[i] = PetscImaginaryPart(aa[i]); 2476 PetscFunctionReturn(0); 2477 } 2478 2479 /* 2480 Code almost identical to MatGetColumnIJ_SeqAIJ() should share common code 2481 */ 2482 PetscErrorCode MatGetColumnIJ_SeqBAIJ(Mat A,PetscInt oshift,PetscBool symmetric,PetscBool inodecompressed,PetscInt *nn,const PetscInt *ia[],const PetscInt *ja[],PetscBool *done) 2483 { 2484 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 2485 PetscErrorCode ierr; 2486 PetscInt bs = A->rmap->bs,i,*collengths,*cia,*cja,n = A->cmap->n/bs,m = A->rmap->n/bs; 2487 PetscInt nz = a->i[m],row,*jj,mr,col; 2488 2489 PetscFunctionBegin; 2490 *nn = n; 2491 if (!ia) PetscFunctionReturn(0); 2492 if (symmetric) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Not for BAIJ matrices"); 2493 else { 2494 ierr = PetscCalloc1(n,&collengths);CHKERRQ(ierr); 2495 ierr = PetscMalloc1(n+1,&cia);CHKERRQ(ierr); 2496 ierr = PetscMalloc1(nz,&cja);CHKERRQ(ierr); 2497 jj = a->j; 2498 for (i=0; i<nz; i++) { 2499 collengths[jj[i]]++; 2500 } 2501 cia[0] = oshift; 2502 for (i=0; i<n; i++) { 2503 cia[i+1] = cia[i] + collengths[i]; 2504 } 2505 ierr = PetscArrayzero(collengths,n);CHKERRQ(ierr); 2506 jj = a->j; 2507 for (row=0; row<m; row++) { 2508 mr = a->i[row+1] - a->i[row]; 2509 for (i=0; i<mr; i++) { 2510 col = *jj++; 2511 2512 cja[cia[col] + collengths[col]++ - oshift] = row + oshift; 2513 } 2514 } 2515 ierr = PetscFree(collengths);CHKERRQ(ierr); 2516 *ia = cia; *ja = cja; 2517 } 2518 PetscFunctionReturn(0); 2519 } 2520 2521 PetscErrorCode MatRestoreColumnIJ_SeqBAIJ(Mat A,PetscInt oshift,PetscBool symmetric,PetscBool inodecompressed,PetscInt *n,const PetscInt *ia[],const PetscInt *ja[],PetscBool *done) 2522 { 2523 PetscErrorCode ierr; 2524 2525 PetscFunctionBegin; 2526 if (!ia) PetscFunctionReturn(0); 2527 ierr = PetscFree(*ia);CHKERRQ(ierr); 2528 ierr = PetscFree(*ja);CHKERRQ(ierr); 2529 PetscFunctionReturn(0); 2530 } 2531 2532 /* 2533 MatGetColumnIJ_SeqBAIJ_Color() and MatRestoreColumnIJ_SeqBAIJ_Color() are customized from 2534 MatGetColumnIJ_SeqBAIJ() and MatRestoreColumnIJ_SeqBAIJ() by adding an output 2535 spidx[], index of a->a, to be used in MatTransposeColoringCreate() and MatFDColoringCreate() 2536 */ 2537 PetscErrorCode MatGetColumnIJ_SeqBAIJ_Color(Mat A,PetscInt oshift,PetscBool symmetric,PetscBool inodecompressed,PetscInt *nn,const PetscInt *ia[],const PetscInt *ja[],PetscInt *spidx[],PetscBool *done) 2538 { 2539 Mat_SeqBAIJ *a = (Mat_SeqBAIJ*)A->data; 2540 PetscErrorCode ierr; 2541 PetscInt i,*collengths,*cia,*cja,n=a->nbs,m=a->mbs; 2542 PetscInt nz = a->i[m],row,*jj,mr,col; 2543 PetscInt *cspidx; 2544 2545 PetscFunctionBegin; 2546 *nn = n; 2547 if (!ia) PetscFunctionReturn(0); 2548 2549 ierr = PetscCalloc1(n,&collengths);CHKERRQ(ierr); 2550 ierr = PetscMalloc1(n+1,&cia);CHKERRQ(ierr); 2551 ierr = PetscMalloc1(nz,&cja);CHKERRQ(ierr); 2552 ierr = PetscMalloc1(nz,&cspidx);CHKERRQ(ierr); 2553 jj = a->j; 2554 for (i=0; i<nz; i++) { 2555 collengths[jj[i]]++; 2556 } 2557 cia[0] = oshift; 2558 for (i=0; i<n; i++) { 2559 cia[i+1] = cia[i] + collengths[i]; 2560 } 2561 ierr = PetscArrayzero(collengths,n);CHKERRQ(ierr); 2562 jj = a->j; 2563 for (row=0; row<m; row++) { 2564 mr = a->i[row+1] - a->i[row]; 2565 for (i=0; i<mr; i++) { 2566 col = *jj++; 2567 cspidx[cia[col] + collengths[col] - oshift] = a->i[row] + i; /* index of a->j */ 2568 cja[cia[col] + collengths[col]++ - oshift] = row + oshift; 2569 } 2570 } 2571 ierr = PetscFree(collengths);CHKERRQ(ierr); 2572 *ia = cia; 2573 *ja = cja; 2574 *spidx = cspidx; 2575 PetscFunctionReturn(0); 2576 } 2577 2578 PetscErrorCode MatRestoreColumnIJ_SeqBAIJ_Color(Mat A,PetscInt oshift,PetscBool symmetric,PetscBool inodecompressed,PetscInt *n,const PetscInt *ia[],const PetscInt *ja[],PetscInt *spidx[],PetscBool *done) 2579 { 2580 PetscErrorCode ierr; 2581 2582 PetscFunctionBegin; 2583 ierr = MatRestoreColumnIJ_SeqBAIJ(A,oshift,symmetric,inodecompressed,n,ia,ja,done);CHKERRQ(ierr); 2584 ierr = PetscFree(*spidx);CHKERRQ(ierr); 2585 PetscFunctionReturn(0); 2586 } 2587 2588 PetscErrorCode MatShift_SeqBAIJ(Mat Y,PetscScalar a) 2589 { 2590 PetscErrorCode ierr; 2591 Mat_SeqBAIJ *aij = (Mat_SeqBAIJ*)Y->data; 2592 2593 PetscFunctionBegin; 2594 if (!Y->preallocated || !aij->nz) { 2595 ierr = MatSeqBAIJSetPreallocation(Y,Y->rmap->bs,1,NULL);CHKERRQ(ierr); 2596 } 2597 ierr = MatShift_Basic(Y,a);CHKERRQ(ierr); 2598 PetscFunctionReturn(0); 2599 } 2600 2601 /* -------------------------------------------------------------------*/ 2602 static struct _MatOps MatOps_Values = {MatSetValues_SeqBAIJ, 2603 MatGetRow_SeqBAIJ, 2604 MatRestoreRow_SeqBAIJ, 2605 MatMult_SeqBAIJ_N, 2606 /* 4*/ MatMultAdd_SeqBAIJ_N, 2607 MatMultTranspose_SeqBAIJ, 2608 MatMultTransposeAdd_SeqBAIJ, 2609 NULL, 2610 NULL, 2611 NULL, 2612 /* 10*/ NULL, 2613 MatLUFactor_SeqBAIJ, 2614 NULL, 2615 NULL, 2616 MatTranspose_SeqBAIJ, 2617 /* 15*/ MatGetInfo_SeqBAIJ, 2618 MatEqual_SeqBAIJ, 2619 MatGetDiagonal_SeqBAIJ, 2620 MatDiagonalScale_SeqBAIJ, 2621 MatNorm_SeqBAIJ, 2622 /* 20*/ NULL, 2623 MatAssemblyEnd_SeqBAIJ, 2624 MatSetOption_SeqBAIJ, 2625 MatZeroEntries_SeqBAIJ, 2626 /* 24*/ MatZeroRows_SeqBAIJ, 2627 NULL, 2628 NULL, 2629 NULL, 2630 NULL, 2631 /* 29*/ MatSetUp_SeqBAIJ, 2632 NULL, 2633 NULL, 2634 NULL, 2635 NULL, 2636 /* 34*/ MatDuplicate_SeqBAIJ, 2637 NULL, 2638 NULL, 2639 MatILUFactor_SeqBAIJ, 2640 NULL, 2641 /* 39*/ MatAXPY_SeqBAIJ, 2642 MatCreateSubMatrices_SeqBAIJ, 2643 MatIncreaseOverlap_SeqBAIJ, 2644 MatGetValues_SeqBAIJ, 2645 MatCopy_SeqBAIJ, 2646 /* 44*/ NULL, 2647 MatScale_SeqBAIJ, 2648 MatShift_SeqBAIJ, 2649 NULL, 2650 MatZeroRowsColumns_SeqBAIJ, 2651 /* 49*/ NULL, 2652 MatGetRowIJ_SeqBAIJ, 2653 MatRestoreRowIJ_SeqBAIJ, 2654 MatGetColumnIJ_SeqBAIJ, 2655 MatRestoreColumnIJ_SeqBAIJ, 2656 /* 54*/ MatFDColoringCreate_SeqXAIJ, 2657 NULL, 2658 NULL, 2659 NULL, 2660 MatSetValuesBlocked_SeqBAIJ, 2661 /* 59*/ MatCreateSubMatrix_SeqBAIJ, 2662 MatDestroy_SeqBAIJ, 2663 MatView_SeqBAIJ, 2664 NULL, 2665 NULL, 2666 /* 64*/ NULL, 2667 NULL, 2668 NULL, 2669 NULL, 2670 NULL, 2671 /* 69*/ MatGetRowMaxAbs_SeqBAIJ, 2672 NULL, 2673 MatConvert_Basic, 2674 NULL, 2675 NULL, 2676 /* 74*/ NULL, 2677 MatFDColoringApply_BAIJ, 2678 NULL, 2679 NULL, 2680 NULL, 2681 /* 79*/ NULL, 2682 NULL, 2683 NULL, 2684 NULL, 2685 MatLoad_SeqBAIJ, 2686 /* 84*/ NULL, 2687 NULL, 2688 NULL, 2689 NULL, 2690 NULL, 2691 /* 89*/ NULL, 2692 NULL, 2693 NULL, 2694 NULL, 2695 NULL, 2696 /* 94*/ NULL, 2697 NULL, 2698 NULL, 2699 NULL, 2700 NULL, 2701 /* 99*/ NULL, 2702 NULL, 2703 NULL, 2704 MatConjugate_SeqBAIJ, 2705 NULL, 2706 /*104*/ NULL, 2707 MatRealPart_SeqBAIJ, 2708 MatImaginaryPart_SeqBAIJ, 2709 NULL, 2710 NULL, 2711 /*109*/ NULL, 2712 NULL, 2713 NULL, 2714 NULL, 2715 MatMissingDiagonal_SeqBAIJ, 2716 /*114*/ NULL, 2717 NULL, 2718 NULL, 2719 NULL, 2720 NULL, 2721 /*119*/ NULL, 2722 NULL, 2723 MatMultHermitianTranspose_SeqBAIJ, 2724 MatMultHermitianTransposeAdd_SeqBAIJ, 2725 NULL, 2726 /*124*/ NULL, 2727 NULL, 2728 MatInvertBlockDiagonal_SeqBAIJ, 2729 NULL, 2730 NULL, 2731 /*129*/ NULL, 2732 NULL, 2733 NULL, 2734 NULL, 2735 NULL, 2736 /*134*/ NULL, 2737 NULL, 2738 NULL, 2739 NULL, 2740 NULL, 2741 /*139*/ MatSetBlockSizes_Default, 2742 NULL, 2743 NULL, 2744 MatFDColoringSetUp_SeqXAIJ, 2745 NULL, 2746 /*144*/MatCreateMPIMatConcatenateSeqMat_SeqBAIJ, 2747 MatDestroySubMatrices_SeqBAIJ 2748 }; 2749 2750 PetscErrorCode MatStoreValues_SeqBAIJ(Mat mat) 2751 { 2752 Mat_SeqBAIJ *aij = (Mat_SeqBAIJ*)mat->data; 2753 PetscInt nz = aij->i[aij->mbs]*aij->bs2; 2754 PetscErrorCode ierr; 2755 2756 PetscFunctionBegin; 2757 if (aij->nonew != 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Must call MatSetOption(A,MAT_NEW_NONZERO_LOCATIONS,PETSC_FALSE);first"); 2758 2759 /* allocate space for values if not already there */ 2760 if (!aij->saved_values) { 2761 ierr = PetscMalloc1(nz+1,&aij->saved_values);CHKERRQ(ierr); 2762 ierr = PetscLogObjectMemory((PetscObject)mat,(nz+1)*sizeof(PetscScalar));CHKERRQ(ierr); 2763 } 2764 2765 /* copy values over */ 2766 ierr = PetscArraycpy(aij->saved_values,aij->a,nz);CHKERRQ(ierr); 2767 PetscFunctionReturn(0); 2768 } 2769 2770 PetscErrorCode MatRetrieveValues_SeqBAIJ(Mat mat) 2771 { 2772 Mat_SeqBAIJ *aij = (Mat_SeqBAIJ*)mat->data; 2773 PetscErrorCode ierr; 2774 PetscInt nz = aij->i[aij->mbs]*aij->bs2; 2775 2776 PetscFunctionBegin; 2777 if (aij->nonew != 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Must call MatSetOption(A,MAT_NEW_NONZERO_LOCATIONS,PETSC_FALSE);first"); 2778 if (!aij->saved_values) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ORDER,"Must call MatStoreValues(A);first"); 2779 2780 /* copy values over */ 2781 ierr = PetscArraycpy(aij->a,aij->saved_values,nz);CHKERRQ(ierr); 2782 PetscFunctionReturn(0); 2783 } 2784 2785 PETSC_INTERN PetscErrorCode MatConvert_SeqBAIJ_SeqAIJ(Mat, MatType,MatReuse,Mat*); 2786 PETSC_INTERN PetscErrorCode MatConvert_SeqBAIJ_SeqSBAIJ(Mat, MatType,MatReuse,Mat*); 2787 2788 PetscErrorCode MatSeqBAIJSetPreallocation_SeqBAIJ(Mat B,PetscInt bs,PetscInt nz,PetscInt *nnz) 2789 { 2790 Mat_SeqBAIJ *b; 2791 PetscErrorCode ierr; 2792 PetscInt i,mbs,nbs,bs2; 2793 PetscBool flg = PETSC_FALSE,skipallocation = PETSC_FALSE,realalloc = PETSC_FALSE; 2794 2795 PetscFunctionBegin; 2796 if (nz >= 0 || nnz) realalloc = PETSC_TRUE; 2797 if (nz == MAT_SKIP_ALLOCATION) { 2798 skipallocation = PETSC_TRUE; 2799 nz = 0; 2800 } 2801 2802 ierr = MatSetBlockSize(B,PetscAbs(bs));CHKERRQ(ierr); 2803 ierr = PetscLayoutSetUp(B->rmap);CHKERRQ(ierr); 2804 ierr = PetscLayoutSetUp(B->cmap);CHKERRQ(ierr); 2805 ierr = PetscLayoutGetBlockSize(B->rmap,&bs);CHKERRQ(ierr); 2806 2807 B->preallocated = PETSC_TRUE; 2808 2809 mbs = B->rmap->n/bs; 2810 nbs = B->cmap->n/bs; 2811 bs2 = bs*bs; 2812 2813 if (mbs*bs!=B->rmap->n || nbs*bs!=B->cmap->n) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Number rows %D, cols %D must be divisible by blocksize %D",B->rmap->N,B->cmap->n,bs); 2814 2815 if (nz == PETSC_DEFAULT || nz == PETSC_DECIDE) nz = 5; 2816 if (nz < 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"nz cannot be less than 0: value %D",nz); 2817 if (nnz) { 2818 for (i=0; i<mbs; i++) { 2819 if (nnz[i] < 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"nnz cannot be less than 0: local row %D value %D",i,nnz[i]); 2820 if (nnz[i] > nbs) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"nnz cannot be greater than block row length: local row %D value %D rowlength %D",i,nnz[i],nbs); 2821 } 2822 } 2823 2824 b = (Mat_SeqBAIJ*)B->data; 2825 ierr = PetscOptionsBegin(PetscObjectComm((PetscObject)B),NULL,"Optimize options for SEQBAIJ matrix 2 ","Mat");CHKERRQ(ierr); 2826 ierr = PetscOptionsBool("-mat_no_unroll","Do not optimize for block size (slow)",NULL,flg,&flg,NULL);CHKERRQ(ierr); 2827 ierr = PetscOptionsEnd();CHKERRQ(ierr); 2828 2829 if (!flg) { 2830 switch (bs) { 2831 case 1: 2832 B->ops->mult = MatMult_SeqBAIJ_1; 2833 B->ops->multadd = MatMultAdd_SeqBAIJ_1; 2834 break; 2835 case 2: 2836 B->ops->mult = MatMult_SeqBAIJ_2; 2837 B->ops->multadd = MatMultAdd_SeqBAIJ_2; 2838 break; 2839 case 3: 2840 B->ops->mult = MatMult_SeqBAIJ_3; 2841 B->ops->multadd = MatMultAdd_SeqBAIJ_3; 2842 break; 2843 case 4: 2844 B->ops->mult = MatMult_SeqBAIJ_4; 2845 B->ops->multadd = MatMultAdd_SeqBAIJ_4; 2846 break; 2847 case 5: 2848 B->ops->mult = MatMult_SeqBAIJ_5; 2849 B->ops->multadd = MatMultAdd_SeqBAIJ_5; 2850 break; 2851 case 6: 2852 B->ops->mult = MatMult_SeqBAIJ_6; 2853 B->ops->multadd = MatMultAdd_SeqBAIJ_6; 2854 break; 2855 case 7: 2856 B->ops->mult = MatMult_SeqBAIJ_7; 2857 B->ops->multadd = MatMultAdd_SeqBAIJ_7; 2858 break; 2859 case 9: 2860 { 2861 PetscInt version = 1; 2862 ierr = PetscOptionsGetInt(NULL,((PetscObject)B)->prefix,"-mat_baij_mult_version",&version,NULL);CHKERRQ(ierr); 2863 switch (version) { 2864 #if defined(PETSC_HAVE_IMMINTRIN_H) && defined(__AVX2__) && defined(__FMA__) && defined(PETSC_USE_REAL_DOUBLE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_64BIT_INDICES) 2865 case 1: 2866 B->ops->mult = MatMult_SeqBAIJ_9_AVX2; 2867 B->ops->multadd = MatMultAdd_SeqBAIJ_9_AVX2; 2868 ierr = PetscInfo1((PetscObject)B,"Using AVX2 for MatMult for BAIJ for blocksize %D\n",bs); 2869 break; 2870 #endif 2871 default: 2872 B->ops->mult = MatMult_SeqBAIJ_N; 2873 B->ops->multadd = MatMultAdd_SeqBAIJ_N; 2874 ierr = PetscInfo1((PetscObject)B,"Using BLAS for MatMult for BAIJ for blocksize %D\n",bs); 2875 break; 2876 } 2877 break; 2878 } 2879 case 11: 2880 B->ops->mult = MatMult_SeqBAIJ_11; 2881 B->ops->multadd = MatMultAdd_SeqBAIJ_11; 2882 break; 2883 case 12: 2884 { 2885 PetscInt version = 1; 2886 ierr = PetscOptionsGetInt(NULL,((PetscObject)B)->prefix,"-mat_baij_mult_version",&version,NULL);CHKERRQ(ierr); 2887 switch (version) { 2888 case 1: 2889 B->ops->mult = MatMult_SeqBAIJ_12_ver1; 2890 B->ops->multadd = MatMultAdd_SeqBAIJ_12_ver1; 2891 ierr = PetscInfo2((PetscObject)B,"Using version %D of MatMult for BAIJ for blocksize %D\n",version,bs); 2892 break; 2893 case 2: 2894 B->ops->mult = MatMult_SeqBAIJ_12_ver2; 2895 B->ops->multadd = MatMultAdd_SeqBAIJ_12_ver2; 2896 ierr = PetscInfo2((PetscObject)B,"Using version %D of MatMult for BAIJ for blocksize %D\n",version,bs); 2897 break; 2898 #if defined(PETSC_HAVE_IMMINTRIN_H) && defined(__AVX2__) && defined(__FMA__) && defined(PETSC_USE_REAL_DOUBLE) && !defined(PETSC_USE_COMPLEX) && !defined(PETSC_USE_64BIT_INDICES) 2899 case 3: 2900 B->ops->mult = MatMult_SeqBAIJ_12_AVX2; 2901 B->ops->multadd = MatMultAdd_SeqBAIJ_12_ver1; 2902 ierr = PetscInfo1((PetscObject)B,"Using AVX2 for MatMult for BAIJ for blocksize %D\n",bs); 2903 break; 2904 #endif 2905 default: 2906 B->ops->mult = MatMult_SeqBAIJ_N; 2907 B->ops->multadd = MatMultAdd_SeqBAIJ_N; 2908 ierr = PetscInfo1((PetscObject)B,"Using BLAS for MatMult for BAIJ for blocksize %D\n",bs); 2909 break; 2910 } 2911 break; 2912 } 2913 case 15: 2914 { 2915 PetscInt version = 1; 2916 ierr = PetscOptionsGetInt(NULL,((PetscObject)B)->prefix,"-mat_baij_mult_version",&version,NULL);CHKERRQ(ierr); 2917 switch (version) { 2918 case 1: 2919 B->ops->mult = MatMult_SeqBAIJ_15_ver1; 2920 ierr = PetscInfo2((PetscObject)B,"Using version %D of MatMult for BAIJ for blocksize %D\n",version,bs); 2921 break; 2922 case 2: 2923 B->ops->mult = MatMult_SeqBAIJ_15_ver2; 2924 ierr = PetscInfo2((PetscObject)B,"Using version %D of MatMult for BAIJ for blocksize %D\n",version,bs); 2925 break; 2926 case 3: 2927 B->ops->mult = MatMult_SeqBAIJ_15_ver3; 2928 ierr = PetscInfo2((PetscObject)B,"Using version %D of MatMult for BAIJ for blocksize %D\n",version,bs); 2929 break; 2930 case 4: 2931 B->ops->mult = MatMult_SeqBAIJ_15_ver4; 2932 ierr = PetscInfo2((PetscObject)B,"Using version %D of MatMult for BAIJ for blocksize %D\n",version,bs); 2933 break; 2934 default: 2935 B->ops->mult = MatMult_SeqBAIJ_N; 2936 ierr = PetscInfo1((PetscObject)B,"Using BLAS for MatMult for BAIJ for blocksize %D\n",bs); 2937 break; 2938 } 2939 B->ops->multadd = MatMultAdd_SeqBAIJ_N; 2940 break; 2941 } 2942 default: 2943 B->ops->mult = MatMult_SeqBAIJ_N; 2944 B->ops->multadd = MatMultAdd_SeqBAIJ_N; 2945 ierr = PetscInfo1((PetscObject)B,"Using BLAS for MatMult for BAIJ for blocksize %D\n",bs); 2946 break; 2947 } 2948 } 2949 B->ops->sor = MatSOR_SeqBAIJ; 2950 b->mbs = mbs; 2951 b->nbs = nbs; 2952 if (!skipallocation) { 2953 if (!b->imax) { 2954 ierr = PetscMalloc2(mbs,&b->imax,mbs,&b->ilen);CHKERRQ(ierr); 2955 ierr = PetscLogObjectMemory((PetscObject)B,2*mbs*sizeof(PetscInt));CHKERRQ(ierr); 2956 2957 b->free_imax_ilen = PETSC_TRUE; 2958 } 2959 /* b->ilen will count nonzeros in each block row so far. */ 2960 for (i=0; i<mbs; i++) b->ilen[i] = 0; 2961 if (!nnz) { 2962 if (nz == PETSC_DEFAULT || nz == PETSC_DECIDE) nz = 5; 2963 else if (nz < 0) nz = 1; 2964 nz = PetscMin(nz,nbs); 2965 for (i=0; i<mbs; i++) b->imax[i] = nz; 2966 ierr = PetscIntMultError(nz,mbs,&nz);CHKERRQ(ierr); 2967 } else { 2968 PetscInt64 nz64 = 0; 2969 for (i=0; i<mbs; i++) {b->imax[i] = nnz[i]; nz64 += nnz[i];} 2970 ierr = PetscIntCast(nz64,&nz);CHKERRQ(ierr); 2971 } 2972 2973 /* allocate the matrix space */ 2974 ierr = MatSeqXAIJFreeAIJ(B,&b->a,&b->j,&b->i);CHKERRQ(ierr); 2975 if (B->structure_only) { 2976 ierr = PetscMalloc1(nz,&b->j);CHKERRQ(ierr); 2977 ierr = PetscMalloc1(B->rmap->N+1,&b->i);CHKERRQ(ierr); 2978 ierr = PetscLogObjectMemory((PetscObject)B,(B->rmap->N+1)*sizeof(PetscInt)+nz*sizeof(PetscInt));CHKERRQ(ierr); 2979 } else { 2980 PetscInt nzbs2 = 0; 2981 ierr = PetscIntMultError(nz,bs2,&nzbs2);CHKERRQ(ierr); 2982 ierr = PetscMalloc3(nzbs2,&b->a,nz,&b->j,B->rmap->N+1,&b->i);CHKERRQ(ierr); 2983 ierr = PetscLogObjectMemory((PetscObject)B,(B->rmap->N+1)*sizeof(PetscInt)+nz*(bs2*sizeof(PetscScalar)+sizeof(PetscInt)));CHKERRQ(ierr); 2984 ierr = PetscArrayzero(b->a,nz*bs2);CHKERRQ(ierr); 2985 } 2986 ierr = PetscArrayzero(b->j,nz);CHKERRQ(ierr); 2987 2988 if (B->structure_only) { 2989 b->singlemalloc = PETSC_FALSE; 2990 b->free_a = PETSC_FALSE; 2991 } else { 2992 b->singlemalloc = PETSC_TRUE; 2993 b->free_a = PETSC_TRUE; 2994 } 2995 b->free_ij = PETSC_TRUE; 2996 2997 b->i[0] = 0; 2998 for (i=1; i<mbs+1; i++) { 2999 b->i[i] = b->i[i-1] + b->imax[i-1]; 3000 } 3001 3002 } else { 3003 b->free_a = PETSC_FALSE; 3004 b->free_ij = PETSC_FALSE; 3005 } 3006 3007 b->bs2 = bs2; 3008 b->mbs = mbs; 3009 b->nz = 0; 3010 b->maxnz = nz; 3011 B->info.nz_unneeded = (PetscReal)b->maxnz*bs2; 3012 B->was_assembled = PETSC_FALSE; 3013 B->assembled = PETSC_FALSE; 3014 if (realalloc) {ierr = MatSetOption(B,MAT_NEW_NONZERO_ALLOCATION_ERR,PETSC_TRUE);CHKERRQ(ierr);} 3015 PetscFunctionReturn(0); 3016 } 3017 3018 PetscErrorCode MatSeqBAIJSetPreallocationCSR_SeqBAIJ(Mat B,PetscInt bs,const PetscInt ii[],const PetscInt jj[],const PetscScalar V[]) 3019 { 3020 PetscInt i,m,nz,nz_max=0,*nnz; 3021 PetscScalar *values=NULL; 3022 PetscBool roworiented = ((Mat_SeqBAIJ*)B->data)->roworiented; 3023 PetscErrorCode ierr; 3024 3025 PetscFunctionBegin; 3026 if (bs < 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Invalid block size specified, must be positive but it is %D",bs); 3027 ierr = PetscLayoutSetBlockSize(B->rmap,bs);CHKERRQ(ierr); 3028 ierr = PetscLayoutSetBlockSize(B->cmap,bs);CHKERRQ(ierr); 3029 ierr = PetscLayoutSetUp(B->rmap);CHKERRQ(ierr); 3030 ierr = PetscLayoutSetUp(B->cmap);CHKERRQ(ierr); 3031 ierr = PetscLayoutGetBlockSize(B->rmap,&bs);CHKERRQ(ierr); 3032 m = B->rmap->n/bs; 3033 3034 if (ii[0] != 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE, "ii[0] must be 0 but it is %D",ii[0]); 3035 ierr = PetscMalloc1(m+1, &nnz);CHKERRQ(ierr); 3036 for (i=0; i<m; i++) { 3037 nz = ii[i+1]- ii[i]; 3038 if (nz < 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE, "Local row %D has a negative number of columns %D",i,nz); 3039 nz_max = PetscMax(nz_max, nz); 3040 nnz[i] = nz; 3041 } 3042 ierr = MatSeqBAIJSetPreallocation(B,bs,0,nnz);CHKERRQ(ierr); 3043 ierr = PetscFree(nnz);CHKERRQ(ierr); 3044 3045 values = (PetscScalar*)V; 3046 if (!values) { 3047 ierr = PetscCalloc1(bs*bs*(nz_max+1),&values);CHKERRQ(ierr); 3048 } 3049 for (i=0; i<m; i++) { 3050 PetscInt ncols = ii[i+1] - ii[i]; 3051 const PetscInt *icols = jj + ii[i]; 3052 if (bs == 1 || !roworiented) { 3053 const PetscScalar *svals = values + (V ? (bs*bs*ii[i]) : 0); 3054 ierr = MatSetValuesBlocked_SeqBAIJ(B,1,&i,ncols,icols,svals,INSERT_VALUES);CHKERRQ(ierr); 3055 } else { 3056 PetscInt j; 3057 for (j=0; j<ncols; j++) { 3058 const PetscScalar *svals = values + (V ? (bs*bs*(ii[i]+j)) : 0); 3059 ierr = MatSetValuesBlocked_SeqBAIJ(B,1,&i,1,&icols[j],svals,INSERT_VALUES);CHKERRQ(ierr); 3060 } 3061 } 3062 } 3063 if (!V) { ierr = PetscFree(values);CHKERRQ(ierr); } 3064 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 3065 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 3066 ierr = MatSetOption(B,MAT_NEW_NONZERO_LOCATION_ERR,PETSC_TRUE);CHKERRQ(ierr); 3067 PetscFunctionReturn(0); 3068 } 3069 3070 /*@C 3071 MatSeqBAIJGetArray - gives access to the array where the data for a MATSEQBAIJ matrix is stored 3072 3073 Not Collective 3074 3075 Input Parameter: 3076 . mat - a MATSEQBAIJ matrix 3077 3078 Output Parameter: 3079 . array - pointer to the data 3080 3081 Level: intermediate 3082 3083 .seealso: MatSeqBAIJRestoreArray(), MatSeqAIJGetArray(), MatSeqAIJRestoreArray() 3084 @*/ 3085 PetscErrorCode MatSeqBAIJGetArray(Mat A,PetscScalar **array) 3086 { 3087 PetscErrorCode ierr; 3088 3089 PetscFunctionBegin; 3090 ierr = PetscUseMethod(A,"MatSeqBAIJGetArray_C",(Mat,PetscScalar**),(A,array));CHKERRQ(ierr); 3091 PetscFunctionReturn(0); 3092 } 3093 3094 /*@C 3095 MatSeqBAIJRestoreArray - returns access to the array where the data for a MATSEQBAIJ matrix is stored obtained by MatSeqBAIJGetArray() 3096 3097 Not Collective 3098 3099 Input Parameters: 3100 + mat - a MATSEQBAIJ matrix 3101 - array - pointer to the data 3102 3103 Level: intermediate 3104 3105 .seealso: MatSeqBAIJGetArray(), MatSeqAIJGetArray(), MatSeqAIJRestoreArray() 3106 @*/ 3107 PetscErrorCode MatSeqBAIJRestoreArray(Mat A,PetscScalar **array) 3108 { 3109 PetscErrorCode ierr; 3110 3111 PetscFunctionBegin; 3112 ierr = PetscUseMethod(A,"MatSeqBAIJRestoreArray_C",(Mat,PetscScalar**),(A,array));CHKERRQ(ierr); 3113 PetscFunctionReturn(0); 3114 } 3115 3116 /*MC 3117 MATSEQBAIJ - MATSEQBAIJ = "seqbaij" - A matrix type to be used for sequential block sparse matrices, based on 3118 block sparse compressed row format. 3119 3120 Options Database Keys: 3121 + -mat_type seqbaij - sets the matrix type to "seqbaij" during a call to MatSetFromOptions() 3122 - -mat_baij_mult_version version - indicate the version of the matrix-vector product to use (0 often indicates using BLAS) 3123 3124 Level: beginner 3125 3126 Notes: 3127 MatSetOptions(,MAT_STRUCTURE_ONLY,PETSC_TRUE) may be called for this matrix type. In this no 3128 space is allocated for the nonzero entries and any entries passed with MatSetValues() are ignored 3129 3130 Run with -info to see what version of the matrix-vector product is being used 3131 3132 .seealso: MatCreateSeqBAIJ() 3133 M*/ 3134 3135 PETSC_INTERN PetscErrorCode MatConvert_SeqBAIJ_SeqBSTRM(Mat, MatType,MatReuse,Mat*); 3136 3137 PETSC_EXTERN PetscErrorCode MatCreate_SeqBAIJ(Mat B) 3138 { 3139 PetscErrorCode ierr; 3140 PetscMPIInt size; 3141 Mat_SeqBAIJ *b; 3142 3143 PetscFunctionBegin; 3144 ierr = MPI_Comm_size(PetscObjectComm((PetscObject)B),&size);CHKERRMPI(ierr); 3145 if (size > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Comm must be of size 1"); 3146 3147 ierr = PetscNewLog(B,&b);CHKERRQ(ierr); 3148 B->data = (void*)b; 3149 ierr = PetscMemcpy(B->ops,&MatOps_Values,sizeof(struct _MatOps));CHKERRQ(ierr); 3150 3151 b->row = NULL; 3152 b->col = NULL; 3153 b->icol = NULL; 3154 b->reallocs = 0; 3155 b->saved_values = NULL; 3156 3157 b->roworiented = PETSC_TRUE; 3158 b->nonew = 0; 3159 b->diag = NULL; 3160 B->spptr = NULL; 3161 B->info.nz_unneeded = (PetscReal)b->maxnz*b->bs2; 3162 b->keepnonzeropattern = PETSC_FALSE; 3163 3164 ierr = PetscObjectComposeFunction((PetscObject)B,"MatSeqBAIJGetArray_C",MatSeqBAIJGetArray_SeqBAIJ);CHKERRQ(ierr); 3165 ierr = PetscObjectComposeFunction((PetscObject)B,"MatSeqBAIJRestoreArray_C",MatSeqBAIJRestoreArray_SeqBAIJ);CHKERRQ(ierr); 3166 ierr = PetscObjectComposeFunction((PetscObject)B,"MatInvertBlockDiagonal_C",MatInvertBlockDiagonal_SeqBAIJ);CHKERRQ(ierr); 3167 ierr = PetscObjectComposeFunction((PetscObject)B,"MatStoreValues_C",MatStoreValues_SeqBAIJ);CHKERRQ(ierr); 3168 ierr = PetscObjectComposeFunction((PetscObject)B,"MatRetrieveValues_C",MatRetrieveValues_SeqBAIJ);CHKERRQ(ierr); 3169 ierr = PetscObjectComposeFunction((PetscObject)B,"MatSeqBAIJSetColumnIndices_C",MatSeqBAIJSetColumnIndices_SeqBAIJ);CHKERRQ(ierr); 3170 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqbaij_seqaij_C",MatConvert_SeqBAIJ_SeqAIJ);CHKERRQ(ierr); 3171 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqbaij_seqsbaij_C",MatConvert_SeqBAIJ_SeqSBAIJ);CHKERRQ(ierr); 3172 ierr = PetscObjectComposeFunction((PetscObject)B,"MatSeqBAIJSetPreallocation_C",MatSeqBAIJSetPreallocation_SeqBAIJ);CHKERRQ(ierr); 3173 ierr = PetscObjectComposeFunction((PetscObject)B,"MatSeqBAIJSetPreallocationCSR_C",MatSeqBAIJSetPreallocationCSR_SeqBAIJ);CHKERRQ(ierr); 3174 ierr = PetscObjectComposeFunction((PetscObject)B,"MatIsTranspose_C",MatIsTranspose_SeqBAIJ);CHKERRQ(ierr); 3175 #if defined(PETSC_HAVE_HYPRE) 3176 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqbaij_hypre_C",MatConvert_AIJ_HYPRE);CHKERRQ(ierr); 3177 #endif 3178 ierr = PetscObjectComposeFunction((PetscObject)B,"MatConvert_seqbaij_is_C",MatConvert_XAIJ_IS);CHKERRQ(ierr); 3179 ierr = PetscObjectChangeTypeName((PetscObject)B,MATSEQBAIJ);CHKERRQ(ierr); 3180 PetscFunctionReturn(0); 3181 } 3182 3183 PetscErrorCode MatDuplicateNoCreate_SeqBAIJ(Mat C,Mat A,MatDuplicateOption cpvalues,PetscBool mallocmatspace) 3184 { 3185 Mat_SeqBAIJ *c = (Mat_SeqBAIJ*)C->data,*a = (Mat_SeqBAIJ*)A->data; 3186 PetscErrorCode ierr; 3187 PetscInt i,mbs = a->mbs,nz = a->nz,bs2 = a->bs2; 3188 3189 PetscFunctionBegin; 3190 if (a->i[mbs] != nz) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"Corrupt matrix"); 3191 3192 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 3193 c->imax = a->imax; 3194 c->ilen = a->ilen; 3195 c->free_imax_ilen = PETSC_FALSE; 3196 } else { 3197 ierr = PetscMalloc2(mbs,&c->imax,mbs,&c->ilen);CHKERRQ(ierr); 3198 ierr = PetscLogObjectMemory((PetscObject)C,2*mbs*sizeof(PetscInt));CHKERRQ(ierr); 3199 for (i=0; i<mbs; i++) { 3200 c->imax[i] = a->imax[i]; 3201 c->ilen[i] = a->ilen[i]; 3202 } 3203 c->free_imax_ilen = PETSC_TRUE; 3204 } 3205 3206 /* allocate the matrix space */ 3207 if (mallocmatspace) { 3208 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 3209 ierr = PetscCalloc1(bs2*nz,&c->a);CHKERRQ(ierr); 3210 ierr = PetscLogObjectMemory((PetscObject)C,a->i[mbs]*bs2*sizeof(PetscScalar));CHKERRQ(ierr); 3211 3212 c->i = a->i; 3213 c->j = a->j; 3214 c->singlemalloc = PETSC_FALSE; 3215 c->free_a = PETSC_TRUE; 3216 c->free_ij = PETSC_FALSE; 3217 c->parent = A; 3218 C->preallocated = PETSC_TRUE; 3219 C->assembled = PETSC_TRUE; 3220 3221 ierr = PetscObjectReference((PetscObject)A);CHKERRQ(ierr); 3222 ierr = MatSetOption(A,MAT_NEW_NONZERO_LOCATION_ERR,PETSC_TRUE);CHKERRQ(ierr); 3223 ierr = MatSetOption(C,MAT_NEW_NONZERO_LOCATION_ERR,PETSC_TRUE);CHKERRQ(ierr); 3224 } else { 3225 ierr = PetscMalloc3(bs2*nz,&c->a,nz,&c->j,mbs+1,&c->i);CHKERRQ(ierr); 3226 ierr = PetscLogObjectMemory((PetscObject)C,a->i[mbs]*(bs2*sizeof(PetscScalar)+sizeof(PetscInt))+(mbs+1)*sizeof(PetscInt));CHKERRQ(ierr); 3227 3228 c->singlemalloc = PETSC_TRUE; 3229 c->free_a = PETSC_TRUE; 3230 c->free_ij = PETSC_TRUE; 3231 3232 ierr = PetscArraycpy(c->i,a->i,mbs+1);CHKERRQ(ierr); 3233 if (mbs > 0) { 3234 ierr = PetscArraycpy(c->j,a->j,nz);CHKERRQ(ierr); 3235 if (cpvalues == MAT_COPY_VALUES) { 3236 ierr = PetscArraycpy(c->a,a->a,bs2*nz);CHKERRQ(ierr); 3237 } else { 3238 ierr = PetscArrayzero(c->a,bs2*nz);CHKERRQ(ierr); 3239 } 3240 } 3241 C->preallocated = PETSC_TRUE; 3242 C->assembled = PETSC_TRUE; 3243 } 3244 } 3245 3246 c->roworiented = a->roworiented; 3247 c->nonew = a->nonew; 3248 3249 ierr = PetscLayoutReference(A->rmap,&C->rmap);CHKERRQ(ierr); 3250 ierr = PetscLayoutReference(A->cmap,&C->cmap);CHKERRQ(ierr); 3251 3252 c->bs2 = a->bs2; 3253 c->mbs = a->mbs; 3254 c->nbs = a->nbs; 3255 3256 if (a->diag) { 3257 if (cpvalues == MAT_SHARE_NONZERO_PATTERN) { 3258 c->diag = a->diag; 3259 c->free_diag = PETSC_FALSE; 3260 } else { 3261 ierr = PetscMalloc1(mbs+1,&c->diag);CHKERRQ(ierr); 3262 ierr = PetscLogObjectMemory((PetscObject)C,(mbs+1)*sizeof(PetscInt));CHKERRQ(ierr); 3263 for (i=0; i<mbs; i++) c->diag[i] = a->diag[i]; 3264 c->free_diag = PETSC_TRUE; 3265 } 3266 } else c->diag = NULL; 3267 3268 c->nz = a->nz; 3269 c->maxnz = a->nz; /* Since we allocate exactly the right amount */ 3270 c->solve_work = NULL; 3271 c->mult_work = NULL; 3272 c->sor_workt = NULL; 3273 c->sor_work = NULL; 3274 3275 c->compressedrow.use = a->compressedrow.use; 3276 c->compressedrow.nrows = a->compressedrow.nrows; 3277 if (a->compressedrow.use) { 3278 i = a->compressedrow.nrows; 3279 ierr = PetscMalloc2(i+1,&c->compressedrow.i,i+1,&c->compressedrow.rindex);CHKERRQ(ierr); 3280 ierr = PetscLogObjectMemory((PetscObject)C,(2*i+1)*sizeof(PetscInt));CHKERRQ(ierr); 3281 ierr = PetscArraycpy(c->compressedrow.i,a->compressedrow.i,i+1);CHKERRQ(ierr); 3282 ierr = PetscArraycpy(c->compressedrow.rindex,a->compressedrow.rindex,i);CHKERRQ(ierr); 3283 } else { 3284 c->compressedrow.use = PETSC_FALSE; 3285 c->compressedrow.i = NULL; 3286 c->compressedrow.rindex = NULL; 3287 } 3288 C->nonzerostate = A->nonzerostate; 3289 3290 ierr = PetscFunctionListDuplicate(((PetscObject)A)->qlist,&((PetscObject)C)->qlist);CHKERRQ(ierr); 3291 PetscFunctionReturn(0); 3292 } 3293 3294 PetscErrorCode MatDuplicate_SeqBAIJ(Mat A,MatDuplicateOption cpvalues,Mat *B) 3295 { 3296 PetscErrorCode ierr; 3297 3298 PetscFunctionBegin; 3299 ierr = MatCreate(PetscObjectComm((PetscObject)A),B);CHKERRQ(ierr); 3300 ierr = MatSetSizes(*B,A->rmap->N,A->cmap->n,A->rmap->N,A->cmap->n);CHKERRQ(ierr); 3301 ierr = MatSetType(*B,MATSEQBAIJ);CHKERRQ(ierr); 3302 ierr = MatDuplicateNoCreate_SeqBAIJ(*B,A,cpvalues,PETSC_TRUE);CHKERRQ(ierr); 3303 PetscFunctionReturn(0); 3304 } 3305 3306 /* Used for both SeqBAIJ and SeqSBAIJ matrices */ 3307 PetscErrorCode MatLoad_SeqBAIJ_Binary(Mat mat,PetscViewer viewer) 3308 { 3309 PetscInt header[4],M,N,nz,bs,m,n,mbs,nbs,rows,cols,sum,i,j,k; 3310 PetscInt *rowidxs,*colidxs; 3311 PetscScalar *matvals; 3312 PetscErrorCode ierr; 3313 3314 PetscFunctionBegin; 3315 ierr = PetscViewerSetUp(viewer);CHKERRQ(ierr); 3316 3317 /* read matrix header */ 3318 ierr = PetscViewerBinaryRead(viewer,header,4,NULL,PETSC_INT);CHKERRQ(ierr); 3319 if (header[0] != MAT_FILE_CLASSID) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FILE_UNEXPECTED,"Not a matrix object in file"); 3320 M = header[1]; N = header[2]; nz = header[3]; 3321 if (M < 0) SETERRQ1(PetscObjectComm((PetscObject)viewer),PETSC_ERR_FILE_UNEXPECTED,"Matrix row size (%D) in file is negative",M); 3322 if (N < 0) SETERRQ1(PetscObjectComm((PetscObject)viewer),PETSC_ERR_FILE_UNEXPECTED,"Matrix column size (%D) in file is negative",N); 3323 if (nz < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_FILE_UNEXPECTED,"Matrix stored in special format on disk, cannot load as SeqBAIJ"); 3324 3325 /* set block sizes from the viewer's .info file */ 3326 ierr = MatLoad_Binary_BlockSizes(mat,viewer);CHKERRQ(ierr); 3327 /* set local and global sizes if not set already */ 3328 if (mat->rmap->n < 0) mat->rmap->n = M; 3329 if (mat->cmap->n < 0) mat->cmap->n = N; 3330 if (mat->rmap->N < 0) mat->rmap->N = M; 3331 if (mat->cmap->N < 0) mat->cmap->N = N; 3332 ierr = PetscLayoutSetUp(mat->rmap);CHKERRQ(ierr); 3333 ierr = PetscLayoutSetUp(mat->cmap);CHKERRQ(ierr); 3334 3335 /* check if the matrix sizes are correct */ 3336 ierr = MatGetSize(mat,&rows,&cols);CHKERRQ(ierr); 3337 if (M != rows || N != cols) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_FILE_UNEXPECTED, "Matrix in file of different sizes (%D, %D) than the input matrix (%D, %D)",M,N,rows,cols); 3338 ierr = MatGetBlockSize(mat,&bs);CHKERRQ(ierr); 3339 ierr = MatGetLocalSize(mat,&m,&n);CHKERRQ(ierr); 3340 mbs = m/bs; nbs = n/bs; 3341 3342 /* read in row lengths, column indices and nonzero values */ 3343 ierr = PetscMalloc1(m+1,&rowidxs);CHKERRQ(ierr); 3344 ierr = PetscViewerBinaryRead(viewer,rowidxs+1,m,NULL,PETSC_INT);CHKERRQ(ierr); 3345 rowidxs[0] = 0; for (i=0; i<m; i++) rowidxs[i+1] += rowidxs[i]; 3346 sum = rowidxs[m]; 3347 if (sum != nz) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_FILE_UNEXPECTED,"Inconsistent matrix data in file: nonzeros = %D, sum-row-lengths = %D\n",nz,sum); 3348 3349 /* read in column indices and nonzero values */ 3350 ierr = PetscMalloc2(rowidxs[m],&colidxs,nz,&matvals);CHKERRQ(ierr); 3351 ierr = PetscViewerBinaryRead(viewer,colidxs,rowidxs[m],NULL,PETSC_INT);CHKERRQ(ierr); 3352 ierr = PetscViewerBinaryRead(viewer,matvals,rowidxs[m],NULL,PETSC_SCALAR);CHKERRQ(ierr); 3353 3354 { /* preallocate matrix storage */ 3355 PetscBT bt; /* helper bit set to count nonzeros */ 3356 PetscInt *nnz; 3357 PetscBool sbaij; 3358 3359 ierr = PetscBTCreate(nbs,&bt);CHKERRQ(ierr); 3360 ierr = PetscCalloc1(mbs,&nnz);CHKERRQ(ierr); 3361 ierr = PetscObjectTypeCompare((PetscObject)mat,MATSEQSBAIJ,&sbaij);CHKERRQ(ierr); 3362 for (i=0; i<mbs; i++) { 3363 ierr = PetscBTMemzero(nbs,bt);CHKERRQ(ierr); 3364 for (k=0; k<bs; k++) { 3365 PetscInt row = bs*i + k; 3366 for (j=rowidxs[row]; j<rowidxs[row+1]; j++) { 3367 PetscInt col = colidxs[j]; 3368 if (!sbaij || col >= row) 3369 if (!PetscBTLookupSet(bt,col/bs)) nnz[i]++; 3370 } 3371 } 3372 } 3373 ierr = PetscBTDestroy(&bt);CHKERRQ(ierr); 3374 ierr = MatSeqBAIJSetPreallocation(mat,bs,0,nnz);CHKERRQ(ierr); 3375 ierr = MatSeqSBAIJSetPreallocation(mat,bs,0,nnz);CHKERRQ(ierr); 3376 ierr = PetscFree(nnz);CHKERRQ(ierr); 3377 } 3378 3379 /* store matrix values */ 3380 for (i=0; i<m; i++) { 3381 PetscInt row = i, s = rowidxs[i], e = rowidxs[i+1]; 3382 ierr = (*mat->ops->setvalues)(mat,1,&row,e-s,colidxs+s,matvals+s,INSERT_VALUES);CHKERRQ(ierr); 3383 } 3384 3385 ierr = PetscFree(rowidxs);CHKERRQ(ierr); 3386 ierr = PetscFree2(colidxs,matvals);CHKERRQ(ierr); 3387 ierr = MatAssemblyBegin(mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 3388 ierr = MatAssemblyEnd(mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 3389 PetscFunctionReturn(0); 3390 } 3391 3392 PetscErrorCode MatLoad_SeqBAIJ(Mat mat,PetscViewer viewer) 3393 { 3394 PetscErrorCode ierr; 3395 PetscBool isbinary; 3396 3397 PetscFunctionBegin; 3398 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERBINARY,&isbinary);CHKERRQ(ierr); 3399 if (!isbinary) SETERRQ2(PetscObjectComm((PetscObject)viewer),PETSC_ERR_SUP,"Viewer type %s not yet supported for reading %s matrices",((PetscObject)viewer)->type_name,((PetscObject)mat)->type_name); 3400 ierr = MatLoad_SeqBAIJ_Binary(mat,viewer);CHKERRQ(ierr); 3401 PetscFunctionReturn(0); 3402 } 3403 3404 /*@C 3405 MatCreateSeqBAIJ - Creates a sparse matrix in block AIJ (block 3406 compressed row) format. For good matrix assembly performance the 3407 user should preallocate the matrix storage by setting the parameter nz 3408 (or the array nnz). By setting these parameters accurately, performance 3409 during matrix assembly can be increased by more than a factor of 50. 3410 3411 Collective 3412 3413 Input Parameters: 3414 + comm - MPI communicator, set to PETSC_COMM_SELF 3415 . bs - size of block, the blocks are ALWAYS square. One can use MatSetBlockSizes() to set a different row and column blocksize but the row 3416 blocksize always defines the size of the blocks. The column blocksize sets the blocksize of the vectors obtained with MatCreateVecs() 3417 . m - number of rows 3418 . n - number of columns 3419 . nz - number of nonzero blocks per block row (same for all rows) 3420 - nnz - array containing the number of nonzero blocks in the various block rows 3421 (possibly different for each block row) or NULL 3422 3423 Output Parameter: 3424 . A - the matrix 3425 3426 It is recommended that one use the MatCreate(), MatSetType() and/or MatSetFromOptions(), 3427 MatXXXXSetPreallocation() paradigm instead of this routine directly. 3428 [MatXXXXSetPreallocation() is, for example, MatSeqAIJSetPreallocation] 3429 3430 Options Database Keys: 3431 + -mat_no_unroll - uses code that does not unroll the loops in the 3432 block calculations (much slower) 3433 - -mat_block_size - size of the blocks to use 3434 3435 Level: intermediate 3436 3437 Notes: 3438 The number of rows and columns must be divisible by blocksize. 3439 3440 If the nnz parameter is given then the nz parameter is ignored 3441 3442 A nonzero block is any block that as 1 or more nonzeros in it 3443 3444 The block AIJ format is fully compatible with standard Fortran 77 3445 storage. That is, the stored row and column indices can begin at 3446 either one (as in Fortran) or zero. See the users' manual for details. 3447 3448 Specify the preallocated storage with either nz or nnz (not both). 3449 Set nz=PETSC_DEFAULT and nnz=NULL for PETSc to control dynamic memory 3450 allocation. See Users-Manual: ch_mat for details. 3451 matrices. 3452 3453 .seealso: MatCreate(), MatCreateSeqAIJ(), MatSetValues(), MatCreateBAIJ() 3454 @*/ 3455 PetscErrorCode MatCreateSeqBAIJ(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt nz,const PetscInt nnz[],Mat *A) 3456 { 3457 PetscErrorCode ierr; 3458 3459 PetscFunctionBegin; 3460 ierr = MatCreate(comm,A);CHKERRQ(ierr); 3461 ierr = MatSetSizes(*A,m,n,m,n);CHKERRQ(ierr); 3462 ierr = MatSetType(*A,MATSEQBAIJ);CHKERRQ(ierr); 3463 ierr = MatSeqBAIJSetPreallocation(*A,bs,nz,(PetscInt*)nnz);CHKERRQ(ierr); 3464 PetscFunctionReturn(0); 3465 } 3466 3467 /*@C 3468 MatSeqBAIJSetPreallocation - Sets the block size and expected nonzeros 3469 per row in the matrix. For good matrix assembly performance the 3470 user should preallocate the matrix storage by setting the parameter nz 3471 (or the array nnz). By setting these parameters accurately, performance 3472 during matrix assembly can be increased by more than a factor of 50. 3473 3474 Collective 3475 3476 Input Parameters: 3477 + B - the matrix 3478 . bs - size of block, the blocks are ALWAYS square. One can use MatSetBlockSizes() to set a different row and column blocksize but the row 3479 blocksize always defines the size of the blocks. The column blocksize sets the blocksize of the vectors obtained with MatCreateVecs() 3480 . nz - number of block nonzeros per block row (same for all rows) 3481 - nnz - array containing the number of block nonzeros in the various block rows 3482 (possibly different for each block row) or NULL 3483 3484 Options Database Keys: 3485 + -mat_no_unroll - uses code that does not unroll the loops in the 3486 block calculations (much slower) 3487 - -mat_block_size - size of the blocks to use 3488 3489 Level: intermediate 3490 3491 Notes: 3492 If the nnz parameter is given then the nz parameter is ignored 3493 3494 You can call MatGetInfo() to get information on how effective the preallocation was; 3495 for example the fields mallocs,nz_allocated,nz_used,nz_unneeded; 3496 You can also run with the option -info and look for messages with the string 3497 malloc in them to see if additional memory allocation was needed. 3498 3499 The block AIJ format is fully compatible with standard Fortran 77 3500 storage. That is, the stored row and column indices can begin at 3501 either one (as in Fortran) or zero. See the users' manual for details. 3502 3503 Specify the preallocated storage with either nz or nnz (not both). 3504 Set nz=PETSC_DEFAULT and nnz=NULL for PETSc to control dynamic memory 3505 allocation. See Users-Manual: ch_mat for details. 3506 3507 .seealso: MatCreate(), MatCreateSeqAIJ(), MatSetValues(), MatCreateBAIJ(), MatGetInfo() 3508 @*/ 3509 PetscErrorCode MatSeqBAIJSetPreallocation(Mat B,PetscInt bs,PetscInt nz,const PetscInt nnz[]) 3510 { 3511 PetscErrorCode ierr; 3512 3513 PetscFunctionBegin; 3514 PetscValidHeaderSpecific(B,MAT_CLASSID,1); 3515 PetscValidType(B,1); 3516 PetscValidLogicalCollectiveInt(B,bs,2); 3517 ierr = PetscTryMethod(B,"MatSeqBAIJSetPreallocation_C",(Mat,PetscInt,PetscInt,const PetscInt[]),(B,bs,nz,nnz));CHKERRQ(ierr); 3518 PetscFunctionReturn(0); 3519 } 3520 3521 /*@C 3522 MatSeqBAIJSetPreallocationCSR - Creates a sparse parallel matrix in BAIJ format using the given nonzero structure and (optional) numerical values 3523 3524 Collective 3525 3526 Input Parameters: 3527 + B - the matrix 3528 . i - the indices into j for the start of each local row (starts with zero) 3529 . j - the column indices for each local row (starts with zero) these must be sorted for each row 3530 - v - optional values in the matrix 3531 3532 Level: advanced 3533 3534 Notes: 3535 The order of the entries in values is specified by the MatOption MAT_ROW_ORIENTED. For example, C programs 3536 may want to use the default MAT_ROW_ORIENTED=PETSC_TRUE and use an array v[nnz][bs][bs] where the second index is 3537 over rows within a block and the last index is over columns within a block row. Fortran programs will likely set 3538 MAT_ROW_ORIENTED=PETSC_FALSE and use a Fortran array v(bs,bs,nnz) in which the first index is over rows within a 3539 block column and the second index is over columns within a block. 3540 3541 Though this routine has Preallocation() in the name it also sets the exact nonzero locations of the matrix entries and usually the numerical values as well 3542 3543 .seealso: MatCreate(), MatCreateSeqBAIJ(), MatSetValues(), MatSeqBAIJSetPreallocation(), MATSEQBAIJ 3544 @*/ 3545 PetscErrorCode MatSeqBAIJSetPreallocationCSR(Mat B,PetscInt bs,const PetscInt i[],const PetscInt j[], const PetscScalar v[]) 3546 { 3547 PetscErrorCode ierr; 3548 3549 PetscFunctionBegin; 3550 PetscValidHeaderSpecific(B,MAT_CLASSID,1); 3551 PetscValidType(B,1); 3552 PetscValidLogicalCollectiveInt(B,bs,2); 3553 ierr = PetscTryMethod(B,"MatSeqBAIJSetPreallocationCSR_C",(Mat,PetscInt,const PetscInt[],const PetscInt[],const PetscScalar[]),(B,bs,i,j,v));CHKERRQ(ierr); 3554 PetscFunctionReturn(0); 3555 } 3556 3557 3558 /*@ 3559 MatCreateSeqBAIJWithArrays - Creates an sequential BAIJ matrix using matrix elements provided by the user. 3560 3561 Collective 3562 3563 Input Parameters: 3564 + comm - must be an MPI communicator of size 1 3565 . bs - size of block 3566 . m - number of rows 3567 . n - number of columns 3568 . i - row indices; that is i[0] = 0, i[row] = i[row-1] + number of elements in that row block row of the matrix 3569 . j - column indices 3570 - a - matrix values 3571 3572 Output Parameter: 3573 . mat - the matrix 3574 3575 Level: advanced 3576 3577 Notes: 3578 The i, j, and a arrays are not copied by this routine, the user must free these arrays 3579 once the matrix is destroyed 3580 3581 You cannot set new nonzero locations into this matrix, that will generate an error. 3582 3583 The i and j indices are 0 based 3584 3585 When block size is greater than 1 the matrix values must be stored using the BAIJ storage format (see the BAIJ code to determine this). 3586 3587 The order of the entries in values is the same as the block compressed sparse row storage format; that is, it is 3588 the same as a three dimensional array in Fortran values(bs,bs,nnz) that contains the first column of the first 3589 block, followed by the second column of the first block etc etc. That is, the blocks are contiguous in memory 3590 with column-major ordering within blocks. 3591 3592 .seealso: MatCreate(), MatCreateBAIJ(), MatCreateSeqBAIJ() 3593 3594 @*/ 3595 PetscErrorCode MatCreateSeqBAIJWithArrays(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt i[],PetscInt j[],PetscScalar a[],Mat *mat) 3596 { 3597 PetscErrorCode ierr; 3598 PetscInt ii; 3599 Mat_SeqBAIJ *baij; 3600 3601 PetscFunctionBegin; 3602 if (bs != 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"block size %D > 1 is not supported yet",bs); 3603 if (m > 0 && i[0]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"i (row indices) must start with 0"); 3604 3605 ierr = MatCreate(comm,mat);CHKERRQ(ierr); 3606 ierr = MatSetSizes(*mat,m,n,m,n);CHKERRQ(ierr); 3607 ierr = MatSetType(*mat,MATSEQBAIJ);CHKERRQ(ierr); 3608 ierr = MatSeqBAIJSetPreallocation(*mat,bs,MAT_SKIP_ALLOCATION,NULL);CHKERRQ(ierr); 3609 baij = (Mat_SeqBAIJ*)(*mat)->data; 3610 ierr = PetscMalloc2(m,&baij->imax,m,&baij->ilen);CHKERRQ(ierr); 3611 ierr = PetscLogObjectMemory((PetscObject)*mat,2*m*sizeof(PetscInt));CHKERRQ(ierr); 3612 3613 baij->i = i; 3614 baij->j = j; 3615 baij->a = a; 3616 3617 baij->singlemalloc = PETSC_FALSE; 3618 baij->nonew = -1; /*this indicates that inserting a new value in the matrix that generates a new nonzero is an error*/ 3619 baij->free_a = PETSC_FALSE; 3620 baij->free_ij = PETSC_FALSE; 3621 3622 for (ii=0; ii<m; ii++) { 3623 baij->ilen[ii] = baij->imax[ii] = i[ii+1] - i[ii]; 3624 if (PetscUnlikelyDebug(i[ii+1] - i[ii] < 0)) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative row length in i (row indices) row = %d length = %d",ii,i[ii+1] - i[ii]); 3625 } 3626 if (PetscDefined(USE_DEBUG)) { 3627 for (ii=0; ii<baij->i[m]; ii++) { 3628 if (j[ii] < 0) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Negative column index at location = %d index = %d",ii,j[ii]); 3629 if (j[ii] > n - 1) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Column index to large at location = %d index = %d",ii,j[ii]); 3630 } 3631 } 3632 3633 ierr = MatAssemblyBegin(*mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 3634 ierr = MatAssemblyEnd(*mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 3635 PetscFunctionReturn(0); 3636 } 3637 3638 PetscErrorCode MatCreateMPIMatConcatenateSeqMat_SeqBAIJ(MPI_Comm comm,Mat inmat,PetscInt n,MatReuse scall,Mat *outmat) 3639 { 3640 PetscErrorCode ierr; 3641 PetscMPIInt size; 3642 3643 PetscFunctionBegin; 3644 ierr = MPI_Comm_size(comm,&size);CHKERRMPI(ierr); 3645 if (size == 1 && scall == MAT_REUSE_MATRIX) { 3646 ierr = MatCopy(inmat,*outmat,SAME_NONZERO_PATTERN);CHKERRQ(ierr); 3647 } else { 3648 ierr = MatCreateMPIMatConcatenateSeqMat_MPIBAIJ(comm,inmat,n,scall,outmat);CHKERRQ(ierr); 3649 } 3650 PetscFunctionReturn(0); 3651 } 3652