static char help[] = "Tests MATH2OPUS\n\n"; #include #include static PetscScalar GenEntry_Symm(PetscInt sdim, PetscReal x[], PetscReal y[], void *ctx) { PetscInt d; PetscReal clength = sdim == 3 ? 0.2 : 0.1; PetscReal dist, diff = 0.0; for (d = 0; d < sdim; d++) { diff += (x[d] - y[d]) * (x[d] - y[d]); } dist = PetscSqrtReal(diff); return PetscExpReal(-dist / clength); } static PetscScalar GenEntry_Unsymm(PetscInt sdim, PetscReal x[], PetscReal y[], void *ctx) { PetscInt d; PetscReal clength = sdim == 3 ? 0.2 : 0.1; PetscReal dist, diff = 0.0, nx = 0.0, ny = 0.0; for (d = 0; d < sdim; d++) { nx += x[d]*x[d]; } for (d = 0; d < sdim; d++) { ny += y[d]*y[d]; } for (d = 0; d < sdim; d++) { diff += (x[d] - y[d]) * (x[d] - y[d]); } dist = PetscSqrtReal(diff); return nx > ny ? PetscExpReal(-dist / clength) : PetscExpReal(-dist / clength) + 1.; } int main(int argc,char **argv) { Mat A,B,C,D; Vec v,x,y,Ax,Ay,Bx,By; PetscRandom r; PetscLayout map; PetscScalar *Adata = NULL, *Cdata = NULL, scale = 1.0; PetscReal *coords,nA,nD,nB,err,nX,norms[3]; PetscInt N, n = 64, dim = 1, i, j, nrhs = 11, lda = 0, ldc = 0, nt, ntrials = 2; PetscMPIInt size,rank; PetscBool testlayout = PETSC_FALSE,flg,symm = PETSC_FALSE, Asymm = PETSC_TRUE, kernel = PETSC_TRUE; PetscBool checkexpl = PETSC_FALSE, agpu = PETSC_FALSE, bgpu = PETSC_FALSE, cgpu = PETSC_FALSE, flgglob; PetscBool testtrans, testnorm, randommat = PETSC_TRUE, testorthog, testcompress; void (*approxnormfunc)(void); void (*Anormfunc)(void); PetscErrorCode ierr; #if defined(PETSC_HAVE_MPI_INIT_THREAD) PETSC_MPI_THREAD_REQUIRED = MPI_THREAD_MULTIPLE; #endif ierr = PetscInitialize(&argc,&argv,(char*) 0,help);if (ierr) return ierr; ierr = PetscOptionsGetInt(NULL,NULL,"-ng",&N,&flgglob);CHKERRQ(ierr); ierr = PetscOptionsGetInt(NULL,NULL,"-n",&n,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetInt(NULL,NULL,"-nrhs",&nrhs,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetInt(NULL,NULL,"-dim",&dim,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetInt(NULL,NULL,"-lda",&lda,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetInt(NULL,NULL,"-ldc",&ldc,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetInt(NULL,NULL,"-matmattrials",&ntrials,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(NULL,NULL,"-randommat",&randommat,NULL);CHKERRQ(ierr); if (!flgglob) { ierr = PetscOptionsGetBool(NULL,NULL,"-testlayout",&testlayout,NULL);CHKERRQ(ierr); } ierr = PetscOptionsGetBool(NULL,NULL,"-Asymm",&Asymm,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(NULL,NULL,"-symm",&symm,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(NULL,NULL,"-kernel",&kernel,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(NULL,NULL,"-checkexpl",&checkexpl,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(NULL,NULL,"-agpu",&agpu,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(NULL,NULL,"-bgpu",&bgpu,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetBool(NULL,NULL,"-cgpu",&cgpu,NULL);CHKERRQ(ierr); ierr = PetscOptionsGetScalar(NULL,NULL,"-scale",&scale,NULL);CHKERRQ(ierr); if (!Asymm) symm = PETSC_FALSE; ierr = MPI_Comm_size(PETSC_COMM_WORLD,&size);CHKERRMPI(ierr); /* MatMultTranspose for nonsymmetric matrices in parallel not implemented */ testtrans = (PetscBool)(size == 1 || symm); testnorm = (PetscBool)(size == 1 || symm); testorthog = (PetscBool)(size == 1 || symm); testcompress = (PetscBool)(size == 1 || symm); ierr = MPI_Comm_rank(PETSC_COMM_WORLD,&rank);CHKERRMPI(ierr); ierr = PetscLayoutCreate(PETSC_COMM_WORLD,&map);CHKERRQ(ierr); if (testlayout) { if (rank%2) n = PetscMax(2*n-5*rank,0); else n = 2*n+rank; } if (!flgglob) { ierr = PetscLayoutSetLocalSize(map,n);CHKERRQ(ierr); ierr = PetscLayoutSetUp(map);CHKERRQ(ierr); ierr = PetscLayoutGetSize(map,&N);CHKERRQ(ierr); } else { ierr = PetscLayoutSetSize(map,N);CHKERRQ(ierr); ierr = PetscLayoutSetUp(map);CHKERRQ(ierr); ierr = PetscLayoutGetLocalSize(map,&n);CHKERRQ(ierr); } ierr = PetscLayoutDestroy(&map);CHKERRQ(ierr); if (lda) { ierr = PetscMalloc1(N*(n+lda),&Adata);CHKERRQ(ierr); } ierr = MatCreateDense(PETSC_COMM_WORLD,n,n,N,N,Adata,&A);CHKERRQ(ierr); ierr = MatDenseSetLDA(A,n+lda);CHKERRQ(ierr); /* Create random points; these are replicated in order to populate a dense matrix and to compare sequential and dense runs The constructor for MATH2OPUS can take as input the distributed coordinates and replicates them internally in case a kernel construction is requested */ ierr = PetscRandomCreate(PETSC_COMM_WORLD,&r);CHKERRQ(ierr); ierr = PetscRandomSetFromOptions(r);CHKERRQ(ierr); ierr = PetscRandomSetSeed(r,123456);CHKERRQ(ierr); ierr = PetscRandomSeed(r);CHKERRQ(ierr); ierr = PetscMalloc1(N*dim,&coords);CHKERRQ(ierr); ierr = PetscRandomGetValuesReal(r,N*dim,coords);CHKERRQ(ierr); ierr = PetscRandomDestroy(&r);CHKERRQ(ierr); if (kernel || !randommat) { MatH2OpusKernel k = Asymm ? GenEntry_Symm : GenEntry_Unsymm; PetscInt ist,ien; ierr = MatGetOwnershipRange(A,&ist,&ien);CHKERRQ(ierr); for (i = ist; i < ien; i++) { for (j = 0; j < N; j++) { ierr = MatSetValue(A,i,j,(*k)(dim,coords + i*dim,coords + j*dim,NULL),INSERT_VALUES);CHKERRQ(ierr); } } ierr = MatAssemblyBegin(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); if (kernel) { ierr = MatCreateH2OpusFromKernel(PETSC_COMM_WORLD,n,n,N,N,dim,coords + ist*dim,PETSC_TRUE,k,NULL,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,&B);CHKERRQ(ierr); } else { ierr = MatCreateH2OpusFromMat(A,dim,coords + ist*dim,PETSC_TRUE,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,&B);CHKERRQ(ierr); } } else { PetscInt ist; ierr = MatGetOwnershipRange(A,&ist,NULL);CHKERRQ(ierr); ierr = MatSetRandom(A,NULL);CHKERRQ(ierr); if (Asymm) { ierr = MatTranspose(A,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr); ierr = MatAXPY(A,1.0,B,SAME_NONZERO_PATTERN);CHKERRQ(ierr); ierr = MatDestroy(&B);CHKERRQ(ierr); ierr = MatSetOption(A,MAT_SYMMETRIC,PETSC_TRUE);CHKERRQ(ierr); } ierr = MatCreateH2OpusFromMat(A,dim,coords + ist*dim,PETSC_TRUE,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,PETSC_DECIDE,&B);CHKERRQ(ierr); } ierr = PetscFree(coords);CHKERRQ(ierr); if (agpu) { ierr = MatConvert(A,MATDENSECUDA,MAT_INPLACE_MATRIX,&A);CHKERRQ(ierr); } ierr = MatViewFromOptions(A,NULL,"-A_view");CHKERRQ(ierr); ierr = MatSetOption(B,MAT_SYMMETRIC,symm);CHKERRQ(ierr); /* assemble the H-matrix */ ierr = MatBindToCPU(B,(PetscBool)!bgpu);CHKERRQ(ierr); ierr = MatSetFromOptions(B);CHKERRQ(ierr); ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatViewFromOptions(B,NULL,"-B_view");CHKERRQ(ierr); /* Test MatScale */ ierr = MatScale(A,scale);CHKERRQ(ierr); ierr = MatScale(B,scale);CHKERRQ(ierr); /* Test MatMult */ ierr = MatCreateVecs(A,&Ax,&Ay);CHKERRQ(ierr); ierr = MatCreateVecs(B,&Bx,&By);CHKERRQ(ierr); ierr = VecSetRandom(Ax,NULL);CHKERRQ(ierr); ierr = VecCopy(Ax,Bx);CHKERRQ(ierr); ierr = MatMult(A,Ax,Ay);CHKERRQ(ierr); ierr = MatMult(B,Bx,By);CHKERRQ(ierr); ierr = VecViewFromOptions(Ay,NULL,"-mult_vec_view");CHKERRQ(ierr); ierr = VecViewFromOptions(By,NULL,"-mult_vec_view");CHKERRQ(ierr); ierr = VecNorm(Ay,NORM_INFINITY,&nX);CHKERRQ(ierr); ierr = VecAXPY(Ay,-1.0,By);CHKERRQ(ierr); ierr = VecViewFromOptions(Ay,NULL,"-mult_vec_view");CHKERRQ(ierr); ierr = VecNorm(Ay,NORM_INFINITY,&err);CHKERRQ(ierr); ierr = PetscPrintf(PETSC_COMM_WORLD,"MatMult err %g\n",err/nX);CHKERRQ(ierr); ierr = VecScale(By,-1.0);CHKERRQ(ierr); ierr = MatMultAdd(B,Bx,By,By);CHKERRQ(ierr); ierr = VecNorm(By,NORM_INFINITY,&err);CHKERRQ(ierr); ierr = VecViewFromOptions(By,NULL,"-mult_vec_view");CHKERRQ(ierr); if (err > PETSC_SMALL) { ierr = PetscPrintf(PETSC_COMM_WORLD,"MatMultAdd err %g\n",err);CHKERRQ(ierr); } /* Test MatNorm */ ierr = MatNorm(A,NORM_INFINITY,&norms[0]);CHKERRQ(ierr); ierr = MatNorm(A,NORM_1,&norms[1]);CHKERRQ(ierr); norms[2] = -1.; /* NORM_2 not supported */ ierr = PetscPrintf(PETSC_COMM_WORLD,"A Matrix norms: infty=%g, norm_1=%g, norm_2=%g\n",(double)norms[0],(double)norms[1],(double)norms[2]);CHKERRQ(ierr); ierr = MatGetOperation(A,MATOP_NORM,&Anormfunc);CHKERRQ(ierr); ierr = MatGetOperation(B,MATOP_NORM,&approxnormfunc);CHKERRQ(ierr); ierr = MatSetOperation(A,MATOP_NORM,approxnormfunc);CHKERRQ(ierr); ierr = MatNorm(A,NORM_INFINITY,&norms[0]);CHKERRQ(ierr); ierr = MatNorm(A,NORM_1,&norms[1]);CHKERRQ(ierr); ierr = MatNorm(A,NORM_2,&norms[2]);CHKERRQ(ierr); ierr = PetscPrintf(PETSC_COMM_WORLD,"A Approx Matrix norms: infty=%g, norm_1=%g, norm_2=%g\n",(double)norms[0],(double)norms[1],(double)norms[2]);CHKERRQ(ierr); if (testnorm) { ierr = MatNorm(B,NORM_INFINITY,&norms[0]);CHKERRQ(ierr); ierr = MatNorm(B,NORM_1,&norms[1]);CHKERRQ(ierr); ierr = MatNorm(B,NORM_2,&norms[2]);CHKERRQ(ierr); } else { norms[0] = -1.; norms[1] = -1.; norms[2] = -1.; } ierr = PetscPrintf(PETSC_COMM_WORLD,"B Approx Matrix norms: infty=%g, norm_1=%g, norm_2=%g\n",(double)norms[0],(double)norms[1],(double)norms[2]);CHKERRQ(ierr); ierr = MatSetOperation(A,MATOP_NORM,Anormfunc);CHKERRQ(ierr); /* Test MatDuplicate */ ierr = MatDuplicate(B,MAT_COPY_VALUES,&D);CHKERRQ(ierr); ierr = MatSetOption(D,MAT_SYMMETRIC,symm);CHKERRQ(ierr); ierr = MatMultEqual(B,D,10,&flg);CHKERRQ(ierr); if (!flg) { ierr = PetscPrintf(PETSC_COMM_WORLD,"MatMult error after MatDuplicate\n");CHKERRQ(ierr); } if (testtrans) { ierr = MatMultTransposeEqual(B,D,10,&flg);CHKERRQ(ierr); if (!flg) { ierr = PetscPrintf(PETSC_COMM_WORLD,"MatMultTranpose error after MatDuplicate\n");CHKERRQ(ierr); } } ierr = MatDestroy(&D);CHKERRQ(ierr); if (testtrans) { /* MatMultTranspose for nonsymmetric matrices not implemented */ ierr = VecSetRandom(Ay,NULL);CHKERRQ(ierr); ierr = VecCopy(Ay,By);CHKERRQ(ierr); ierr = MatMultTranspose(A,Ay,Ax);CHKERRQ(ierr); ierr = MatMultTranspose(B,By,Bx);CHKERRQ(ierr); ierr = VecViewFromOptions(Ax,NULL,"-multtrans_vec_view");CHKERRQ(ierr); ierr = VecViewFromOptions(Bx,NULL,"-multtrans_vec_view");CHKERRQ(ierr); ierr = VecNorm(Ax,NORM_INFINITY,&nX);CHKERRQ(ierr); ierr = VecAXPY(Ax,-1.0,Bx);CHKERRQ(ierr); ierr = VecViewFromOptions(Ax,NULL,"-multtrans_vec_view");CHKERRQ(ierr); ierr = VecNorm(Ax,NORM_INFINITY,&err);CHKERRQ(ierr); ierr = PetscPrintf(PETSC_COMM_WORLD,"MatMultTranspose err %g\n",err/nX);CHKERRQ(ierr); ierr = VecScale(Bx,-1.0);CHKERRQ(ierr); ierr = MatMultTransposeAdd(B,By,Bx,Bx);CHKERRQ(ierr); ierr = VecNorm(Bx,NORM_INFINITY,&err);CHKERRQ(ierr); if (err > PETSC_SMALL) { ierr = PetscPrintf(PETSC_COMM_WORLD,"MatMultTransposeAdd err %g\n",err);CHKERRQ(ierr); } } ierr = VecDestroy(&Ax);CHKERRQ(ierr); ierr = VecDestroy(&Ay);CHKERRQ(ierr); ierr = VecDestroy(&Bx);CHKERRQ(ierr); ierr = VecDestroy(&By);CHKERRQ(ierr); /* Test MatMatMult */ if (ldc) { ierr = PetscMalloc1(nrhs*(n+ldc),&Cdata);CHKERRQ(ierr); } ierr = MatCreateDense(PETSC_COMM_WORLD,n,PETSC_DECIDE,N,nrhs,Cdata,&C);CHKERRQ(ierr); ierr = MatDenseSetLDA(C,n+ldc);CHKERRQ(ierr); ierr = MatSetRandom(C,NULL);CHKERRQ(ierr); if (cgpu) { ierr = MatConvert(C,MATDENSECUDA,MAT_INPLACE_MATRIX,&C);CHKERRQ(ierr); } for (nt = 0; nt < ntrials; nt++) { ierr = MatMatMult(B,C,nt ? MAT_REUSE_MATRIX : MAT_INITIAL_MATRIX,PETSC_DEFAULT,&D);CHKERRQ(ierr); ierr = MatViewFromOptions(D,NULL,"-bc_view");CHKERRQ(ierr); ierr = PetscObjectBaseTypeCompareAny((PetscObject)D,&flg,MATSEQDENSE,MATMPIDENSE,"");CHKERRQ(ierr); if (flg) { ierr = MatCreateVecs(B,&x,&y);CHKERRQ(ierr); ierr = MatCreateVecs(D,NULL,&v);CHKERRQ(ierr); for (i = 0; i < nrhs; i++) { ierr = MatGetColumnVector(D,v,i);CHKERRQ(ierr); ierr = MatGetColumnVector(C,x,i);CHKERRQ(ierr); ierr = MatMult(B,x,y);CHKERRQ(ierr); ierr = VecAXPY(y,-1.0,v);CHKERRQ(ierr); ierr = VecNorm(y,NORM_INFINITY,&err);CHKERRQ(ierr); if (err > PETSC_SMALL) { ierr = PetscPrintf(PETSC_COMM_WORLD,"MatMat err %D %g\n",i,err);CHKERRQ(ierr); } } ierr = VecDestroy(&y);CHKERRQ(ierr); ierr = VecDestroy(&x);CHKERRQ(ierr); ierr = VecDestroy(&v);CHKERRQ(ierr); } } ierr = MatDestroy(&D);CHKERRQ(ierr); /* Test MatTransposeMatMult */ if (testtrans) { /* MatMultTranspose for nonsymmetric matrices not implemented */ for (nt = 0; nt < ntrials; nt++) { ierr = MatTransposeMatMult(B,C,nt ? MAT_REUSE_MATRIX : MAT_INITIAL_MATRIX,PETSC_DEFAULT,&D);CHKERRQ(ierr); ierr = MatViewFromOptions(D,NULL,"-btc_view");CHKERRQ(ierr); ierr = PetscObjectBaseTypeCompareAny((PetscObject)D,&flg,MATSEQDENSE,MATMPIDENSE,"");CHKERRQ(ierr); if (flg) { ierr = MatCreateVecs(B,&y,&x);CHKERRQ(ierr); ierr = MatCreateVecs(D,NULL,&v);CHKERRQ(ierr); for (i = 0; i < nrhs; i++) { ierr = MatGetColumnVector(D,v,i);CHKERRQ(ierr); ierr = MatGetColumnVector(C,x,i);CHKERRQ(ierr); ierr = MatMultTranspose(B,x,y);CHKERRQ(ierr); ierr = VecAXPY(y,-1.0,v);CHKERRQ(ierr); ierr = VecNorm(y,NORM_INFINITY,&err);CHKERRQ(ierr); if (err > PETSC_SMALL) { ierr = PetscPrintf(PETSC_COMM_WORLD,"MatTransMat err %D %g\n",i,err);CHKERRQ(ierr); } } ierr = VecDestroy(&y);CHKERRQ(ierr); ierr = VecDestroy(&x);CHKERRQ(ierr); ierr = VecDestroy(&v);CHKERRQ(ierr); } } ierr = MatDestroy(&D);CHKERRQ(ierr); } if (testorthog) { ierr = MatDuplicate(B,MAT_COPY_VALUES,&D);CHKERRQ(ierr); ierr = MatSetOption(D,MAT_SYMMETRIC,symm);CHKERRQ(ierr); ierr = MatH2OpusOrthogonalize(D);CHKERRQ(ierr); ierr = MatMultEqual(B,D,10,&flg);CHKERRQ(ierr); if (!flg) { ierr = PetscPrintf(PETSC_COMM_WORLD,"MatMult error after basis ortogonalization\n");CHKERRQ(ierr); } ierr = MatDestroy(&D);CHKERRQ(ierr); } if (testcompress) { ierr = MatDuplicate(B,MAT_COPY_VALUES,&D);CHKERRQ(ierr); ierr = MatSetOption(D,MAT_SYMMETRIC,symm);CHKERRQ(ierr); ierr = MatH2OpusCompress(D,PETSC_SMALL);CHKERRQ(ierr); ierr = MatDestroy(&D);CHKERRQ(ierr); } /* check explicit operator */ if (checkexpl) { Mat Be, Bet; ierr = MatComputeOperator(B,MATDENSE,&D);CHKERRQ(ierr); ierr = MatDuplicate(D,MAT_COPY_VALUES,&Be);CHKERRQ(ierr); ierr = MatNorm(D,NORM_FROBENIUS,&nB);CHKERRQ(ierr); ierr = MatViewFromOptions(D,NULL,"-expl_view");CHKERRQ(ierr); ierr = MatAXPY(D,-1.0,A,SAME_NONZERO_PATTERN);CHKERRQ(ierr); ierr = MatViewFromOptions(D,NULL,"-diff_view");CHKERRQ(ierr); ierr = MatNorm(D,NORM_FROBENIUS,&nD);CHKERRQ(ierr); ierr = MatNorm(A,NORM_FROBENIUS,&nA);CHKERRQ(ierr); ierr = PetscPrintf(PETSC_COMM_WORLD,"Approximation error %g (%g / %g, %g)\n",nD/nA,nD,nA,nB);CHKERRQ(ierr); ierr = MatDestroy(&D);CHKERRQ(ierr); if (testtrans) { /* MatMultTranspose for nonsymmetric matrices not implemented */ ierr = MatTranspose(A,MAT_INPLACE_MATRIX,&A);CHKERRQ(ierr); ierr = MatComputeOperatorTranspose(B,MATDENSE,&D);CHKERRQ(ierr); ierr = MatDuplicate(D,MAT_COPY_VALUES,&Bet);CHKERRQ(ierr); ierr = MatNorm(D,NORM_FROBENIUS,&nB);CHKERRQ(ierr); ierr = MatViewFromOptions(D,NULL,"-expl_trans_view");CHKERRQ(ierr); ierr = MatAXPY(D,-1.0,A,SAME_NONZERO_PATTERN);CHKERRQ(ierr); ierr = MatViewFromOptions(D,NULL,"-diff_trans_view");CHKERRQ(ierr); ierr = MatNorm(D,NORM_FROBENIUS,&nD);CHKERRQ(ierr); ierr = MatNorm(A,NORM_FROBENIUS,&nA);CHKERRQ(ierr); ierr = PetscPrintf(PETSC_COMM_WORLD,"Approximation error transpose %g (%g / %g, %g)\n",nD/nA,nD,nA,nB);CHKERRQ(ierr); ierr = MatDestroy(&D);CHKERRQ(ierr); ierr = MatTranspose(Bet,MAT_INPLACE_MATRIX,&Bet);CHKERRQ(ierr); ierr = MatAXPY(Be,-1.0,Bet,SAME_NONZERO_PATTERN);CHKERRQ(ierr); ierr = MatViewFromOptions(Be,NULL,"-diff_expl_view");CHKERRQ(ierr); ierr = MatNorm(Be,NORM_FROBENIUS,&nB);CHKERRQ(ierr); ierr = PetscPrintf(PETSC_COMM_WORLD,"Approximation error B - (B^T)^T %g\n",nB);CHKERRQ(ierr); ierr = MatDestroy(&Be);CHKERRQ(ierr); ierr = MatDestroy(&Bet);CHKERRQ(ierr); } } ierr = MatDestroy(&A);CHKERRQ(ierr); ierr = MatDestroy(&B);CHKERRQ(ierr); ierr = MatDestroy(&C);CHKERRQ(ierr); ierr = PetscFree(Cdata);CHKERRQ(ierr); ierr = PetscFree(Adata);CHKERRQ(ierr); ierr = PetscFinalize(); return ierr; } /*TEST build: requires: h2opus #tests from kernel test: requires: h2opus nsize: 1 suffix: 1 args: -n {{17 33}} -kernel 1 -dim {{1 2 3}} -symm {{0 1}} -checkexpl -bgpu 0 test: requires: h2opus nsize: 1 suffix: 1_ld output_file: output/ex66_1.out args: -n 33 -kernel 1 -dim 1 -lda 13 -ldc 11 -symm 0 -checkexpl -bgpu 0 test: requires: h2opus cuda nsize: 1 suffix: 1_cuda output_file: output/ex66_1.out args: -n {{17 33}} -kernel 1 -dim {{1 2 3}} -symm {{0 1}} -checkexpl -bgpu 1 test: requires: h2opus cuda nsize: 1 suffix: 1_cuda_ld output_file: output/ex66_1.out args: -n 33 -kernel 1 -dim 1 -lda 13 -ldc 11 -symm 0 -checkexpl -bgpu 1 test: requires: h2opus nsize: {{2 3}} suffix: 1_par args: -n 64 -symm -kernel 1 -dim 1 -ldc 12 -testlayout {{0 1}} -bgpu 0 -cgpu 0 test: requires: h2opus cuda nsize: {{2 3}} suffix: 1_par_cuda args: -n 64 -symm -kernel 1 -dim 1 -ldc 12 -testlayout {{0 1}} -bgpu {{0 1}} -cgpu {{0 1}} output_file: output/ex66_1_par.out #tests from matrix sampling (parallel or unsymmetric not supported) test: requires: h2opus nsize: 1 suffix: 2 args: -n {{17 33}} -kernel 0 -dim 2 -symm 1 -checkexpl -bgpu 0 test: requires: h2opus cuda nsize: 1 suffix: 2_cuda output_file: output/ex66_2.out args: -n {{17 33}} -kernel 0 -dim 2 -symm 1 -checkexpl -bgpu {{0 1}} -agpu {{0 1}} #tests view operation test: requires: h2opus !cuda filter: grep -v "MPI processes" | grep -v "\[" | grep -v "\]" nsize: {{1 2 3}} suffix: view args: -ng 64 -kernel 1 -dim 2 -symm 1 -checkexpl -B_view -mat_h2opus_leafsize 17 -mat_h2opus_normsamples 13 -mat_h2opus_indexmap_view ::ascii_matlab -mat_approximate_norm_samples 2 -mat_h2opus_normsamples 2 test: requires: h2opus cuda filter: grep -v "MPI processes" | grep -v "\[" | grep -v "\]" nsize: {{1 2 3}} suffix: view_cuda args: -ng 64 -kernel 1 -dim 2 -symm 1 -checkexpl -bgpu -B_view -mat_h2opus_leafsize 17 -mat_h2opus_normsamples 13 -mat_h2opus_indexmap_view ::ascii_matlab -mat_approximate_norm_samples 2 -mat_h2opus_normsamples 2 TEST*/