/* Defines projective product routines where A is a MPIAIJ matrix C = P^T * A * P */ #include <../src/mat/impls/aij/seq/aij.h> /*I "petscmat.h" I*/ #include <../src/mat/utils/freespace.h> #include <../src/mat/impls/aij/mpi/mpiaij.h> #include #include #include #include #include PetscErrorCode MatView_MPIAIJ_PtAP(Mat A,PetscViewer viewer) { PetscErrorCode ierr; PetscBool iascii; PetscViewerFormat format; Mat_APMPI *ptap; PetscFunctionBegin; MatCheckProduct(A,1); ptap = (Mat_APMPI*)A->product->data; ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); if (iascii) { ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); if (format == PETSC_VIEWER_ASCII_INFO || format == PETSC_VIEWER_ASCII_INFO_DETAIL) { if (ptap->algType == 0) { ierr = PetscViewerASCIIPrintf(viewer,"using scalable MatPtAP() implementation\n");CHKERRQ(ierr); } else if (ptap->algType == 1) { ierr = PetscViewerASCIIPrintf(viewer,"using nonscalable MatPtAP() implementation\n");CHKERRQ(ierr); } else if (ptap->algType == 2) { ierr = PetscViewerASCIIPrintf(viewer,"using allatonce MatPtAP() implementation\n");CHKERRQ(ierr); } else if (ptap->algType == 3) { ierr = PetscViewerASCIIPrintf(viewer,"using merged allatonce MatPtAP() implementation\n");CHKERRQ(ierr); } } } PetscFunctionReturn(0); } PetscErrorCode MatDestroy_MPIAIJ_PtAP(void *data) { PetscErrorCode ierr; Mat_APMPI *ptap = (Mat_APMPI*)data; Mat_Merge_SeqsToMPI *merge; PetscFunctionBegin; ierr = PetscFree2(ptap->startsj_s,ptap->startsj_r);CHKERRQ(ierr); ierr = PetscFree(ptap->bufa);CHKERRQ(ierr); ierr = MatDestroy(&ptap->P_loc);CHKERRQ(ierr); ierr = MatDestroy(&ptap->P_oth);CHKERRQ(ierr); ierr = MatDestroy(&ptap->A_loc);CHKERRQ(ierr); /* used by MatTransposeMatMult() */ ierr = MatDestroy(&ptap->Rd);CHKERRQ(ierr); ierr = MatDestroy(&ptap->Ro);CHKERRQ(ierr); if (ptap->AP_loc) { /* used by alg_rap */ Mat_SeqAIJ *ap = (Mat_SeqAIJ*)(ptap->AP_loc)->data; ierr = PetscFree(ap->i);CHKERRQ(ierr); ierr = PetscFree2(ap->j,ap->a);CHKERRQ(ierr); ierr = MatDestroy(&ptap->AP_loc);CHKERRQ(ierr); } else { /* used by alg_ptap */ ierr = PetscFree(ptap->api);CHKERRQ(ierr); ierr = PetscFree(ptap->apj);CHKERRQ(ierr); } ierr = MatDestroy(&ptap->C_loc);CHKERRQ(ierr); ierr = MatDestroy(&ptap->C_oth);CHKERRQ(ierr); if (ptap->apa) {ierr = PetscFree(ptap->apa);CHKERRQ(ierr);} ierr = MatDestroy(&ptap->Pt);CHKERRQ(ierr); merge = ptap->merge; if (merge) { /* used by alg_ptap */ ierr = PetscFree(merge->id_r);CHKERRQ(ierr); ierr = PetscFree(merge->len_s);CHKERRQ(ierr); ierr = PetscFree(merge->len_r);CHKERRQ(ierr); ierr = PetscFree(merge->bi);CHKERRQ(ierr); ierr = PetscFree(merge->bj);CHKERRQ(ierr); ierr = PetscFree(merge->buf_ri[0]);CHKERRQ(ierr); ierr = PetscFree(merge->buf_ri);CHKERRQ(ierr); ierr = PetscFree(merge->buf_rj[0]);CHKERRQ(ierr); ierr = PetscFree(merge->buf_rj);CHKERRQ(ierr); ierr = PetscFree(merge->coi);CHKERRQ(ierr); ierr = PetscFree(merge->coj);CHKERRQ(ierr); ierr = PetscFree(merge->owners_co);CHKERRQ(ierr); ierr = PetscLayoutDestroy(&merge->rowmap);CHKERRQ(ierr); ierr = PetscFree(ptap->merge);CHKERRQ(ierr); } ierr = ISLocalToGlobalMappingDestroy(&ptap->ltog);CHKERRQ(ierr); ierr = PetscSFDestroy(&ptap->sf);CHKERRQ(ierr); ierr = PetscFree(ptap->c_othi);CHKERRQ(ierr); ierr = PetscFree(ptap->c_rmti);CHKERRQ(ierr); ierr = PetscFree(ptap);CHKERRQ(ierr); PetscFunctionReturn(0); } PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_scalable(Mat A,Mat P,Mat C) { PetscErrorCode ierr; Mat_MPIAIJ *a=(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data; Mat_SeqAIJ *ad=(Mat_SeqAIJ*)(a->A)->data,*ao=(Mat_SeqAIJ*)(a->B)->data; Mat_SeqAIJ *ap,*p_loc,*p_oth=NULL,*c_seq; Mat_APMPI *ptap; Mat AP_loc,C_loc,C_oth; PetscInt i,rstart,rend,cm,ncols,row,*api,*apj,am = A->rmap->n,apnz,nout; PetscScalar *apa; const PetscInt *cols; const PetscScalar *vals; PetscFunctionBegin; MatCheckProduct(C,3); ptap = (Mat_APMPI*)C->product->data; if (!ptap) SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_WRONGSTATE,"PtAP cannot be computed. Missing data"); if (!ptap->AP_loc) SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_WRONGSTATE,"PtAP cannot be reused. Do not call MatProductClear()"); ierr = MatZeroEntries(C);CHKERRQ(ierr); /* 1) get R = Pd^T,Ro = Po^T */ if (ptap->reuse == MAT_REUSE_MATRIX) { ierr = MatTranspose(p->A,MAT_REUSE_MATRIX,&ptap->Rd);CHKERRQ(ierr); ierr = MatTranspose(p->B,MAT_REUSE_MATRIX,&ptap->Ro);CHKERRQ(ierr); } /* 2) get AP_loc */ AP_loc = ptap->AP_loc; ap = (Mat_SeqAIJ*)AP_loc->data; /* 2-1) get P_oth = ptap->P_oth and P_loc = ptap->P_loc */ /*-----------------------------------------------------*/ if (ptap->reuse == MAT_REUSE_MATRIX) { /* P_oth and P_loc are obtained in MatPtASymbolic() when reuse == MAT_INITIAL_MATRIX */ ierr = MatGetBrowsOfAoCols_MPIAIJ(A,P,MAT_REUSE_MATRIX,&ptap->startsj_s,&ptap->startsj_r,&ptap->bufa,&ptap->P_oth);CHKERRQ(ierr); ierr = MatMPIAIJGetLocalMat(P,MAT_REUSE_MATRIX,&ptap->P_loc);CHKERRQ(ierr); } /* 2-2) compute numeric A_loc*P - dominating part */ /* ---------------------------------------------- */ /* get data from symbolic products */ p_loc = (Mat_SeqAIJ*)(ptap->P_loc)->data; if (ptap->P_oth) p_oth = (Mat_SeqAIJ*)(ptap->P_oth)->data; api = ap->i; apj = ap->j; ierr = ISLocalToGlobalMappingApply(ptap->ltog,api[AP_loc->rmap->n],apj,apj);CHKERRQ(ierr); for (i=0; ia + api[i]; ierr = PetscArrayzero(apa,apnz);CHKERRQ(ierr); AProw_scalable(i,ad,ao,p_loc,p_oth,api,apj,apa); } ierr = ISGlobalToLocalMappingApply(ptap->ltog,IS_GTOLM_DROP,api[AP_loc->rmap->n],apj,&nout,apj);CHKERRQ(ierr); if (api[AP_loc->rmap->n] != nout) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Incorrect mapping %D != %D\n",api[AP_loc->rmap->n],nout); /* 3) C_loc = Rd*AP_loc, C_oth = Ro*AP_loc */ /* Always use scalable version since we are in the MPI scalable version */ ierr = MatMatMultNumeric_SeqAIJ_SeqAIJ_Scalable(ptap->Rd,AP_loc,ptap->C_loc);CHKERRQ(ierr); ierr = MatMatMultNumeric_SeqAIJ_SeqAIJ_Scalable(ptap->Ro,AP_loc,ptap->C_oth);CHKERRQ(ierr); C_loc = ptap->C_loc; C_oth = ptap->C_oth; /* add C_loc and Co to to C */ ierr = MatGetOwnershipRange(C,&rstart,&rend);CHKERRQ(ierr); /* C_loc -> C */ cm = C_loc->rmap->N; c_seq = (Mat_SeqAIJ*)C_loc->data; cols = c_seq->j; vals = c_seq->a; ierr = ISLocalToGlobalMappingApply(ptap->ltog,c_seq->i[C_loc->rmap->n],c_seq->j,c_seq->j);CHKERRQ(ierr); /* The (fast) MatSetValues_MPIAIJ_CopyFromCSRFormat function can only be used when C->was_assembled is PETSC_FALSE and */ /* when there are no off-processor parts. */ /* If was_assembled is true, then the statement aj[rowstart_diag+dnz_row] = mat_j[col] - cstart; in MatSetValues_MPIAIJ_CopyFromCSRFormat */ /* is no longer true. Then the more complex function MatSetValues_MPIAIJ() has to be used, where the column index is looked up from */ /* a table, and other, more complex stuff has to be done. */ if (C->assembled) { C->was_assembled = PETSC_TRUE; C->assembled = PETSC_FALSE; } if (C->was_assembled) { for (i=0; ii[i+1] - c_seq->i[i]; row = rstart + i; ierr = MatSetValues_MPIAIJ(C,1,&row,ncols,cols,vals,ADD_VALUES);CHKERRQ(ierr); cols += ncols; vals += ncols; } } else { ierr = MatSetValues_MPIAIJ_CopyFromCSRFormat(C,c_seq->j,c_seq->i,c_seq->a);CHKERRQ(ierr); } ierr = ISGlobalToLocalMappingApply(ptap->ltog,IS_GTOLM_DROP,c_seq->i[C_loc->rmap->n],c_seq->j,&nout,c_seq->j);CHKERRQ(ierr); if (c_seq->i[C_loc->rmap->n] != nout) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Incorrect mapping %D != %D\n",c_seq->i[C_loc->rmap->n],nout); /* Co -> C, off-processor part */ cm = C_oth->rmap->N; c_seq = (Mat_SeqAIJ*)C_oth->data; cols = c_seq->j; vals = c_seq->a; ierr = ISLocalToGlobalMappingApply(ptap->ltog,c_seq->i[C_oth->rmap->n],c_seq->j,c_seq->j);CHKERRQ(ierr); for (i=0; ii[i+1] - c_seq->i[i]; row = p->garray[i]; ierr = MatSetValues(C,1,&row,ncols,cols,vals,ADD_VALUES);CHKERRQ(ierr); cols += ncols; vals += ncols; } ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ptap->reuse = MAT_REUSE_MATRIX; ierr = ISGlobalToLocalMappingApply(ptap->ltog,IS_GTOLM_DROP,c_seq->i[C_oth->rmap->n],c_seq->j,&nout,c_seq->j);CHKERRQ(ierr); if (c_seq->i[C_oth->rmap->n] != nout) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Incorrect mapping %D != %D\n",c_seq->i[C_loc->rmap->n],nout); PetscFunctionReturn(0); } PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(Mat A,Mat P,PetscReal fill,Mat Cmpi) { PetscErrorCode ierr; Mat_APMPI *ptap; Mat_MPIAIJ *a=(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data; MPI_Comm comm; PetscMPIInt size,rank; Mat P_loc,P_oth; PetscFreeSpaceList free_space=NULL,current_space=NULL; PetscInt am=A->rmap->n,pm=P->rmap->n,pN=P->cmap->N,pn=P->cmap->n; PetscInt *lnk,i,k,pnz,row,nsend; PetscMPIInt tagi,tagj,*len_si,*len_s,*len_ri,nrecv; PETSC_UNUSED PetscMPIInt icompleted=0; PetscInt **buf_rj,**buf_ri,**buf_ri_k; const PetscInt *owners; PetscInt len,proc,*dnz,*onz,nzi,nspacedouble; PetscInt nrows,*buf_s,*buf_si,*buf_si_i,**nextrow,**nextci; MPI_Request *swaits,*rwaits; MPI_Status *sstatus,rstatus; PetscLayout rowmap; PetscInt *owners_co,*coi,*coj; /* i and j array of (p->B)^T*A*P - used in the communication */ PetscMPIInt *len_r,*id_r; /* array of length of comm->size, store send/recv matrix values */ PetscInt *api,*apj,*Jptr,apnz,*prmap=p->garray,con,j,Crmax,*aj,*ai,*pi,nout; Mat_SeqAIJ *p_loc,*p_oth=NULL,*ad=(Mat_SeqAIJ*)(a->A)->data,*ao=NULL,*c_loc,*c_oth; PetscScalar *apv; PetscTable ta; MatType mtype; const char *prefix; #if defined(PETSC_USE_INFO) PetscReal apfill; #endif PetscFunctionBegin; MatCheckProduct(Cmpi,4); if (Cmpi->product->data) SETERRQ(PetscObjectComm((PetscObject)Cmpi),PETSC_ERR_PLIB,"Product data not empty"); ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); ierr = MPI_Comm_size(comm,&size);CHKERRMPI(ierr); ierr = MPI_Comm_rank(comm,&rank);CHKERRMPI(ierr); if (size > 1) ao = (Mat_SeqAIJ*)(a->B)->data; /* create symbolic parallel matrix Cmpi */ ierr = MatGetType(A,&mtype);CHKERRQ(ierr); ierr = MatSetType(Cmpi,mtype);CHKERRQ(ierr); /* create struct Mat_APMPI and attached it to C later */ ierr = PetscNew(&ptap);CHKERRQ(ierr); ptap->reuse = MAT_INITIAL_MATRIX; ptap->algType = 0; /* get P_oth by taking rows of P (= non-zero cols of local A) from other processors */ ierr = MatGetBrowsOfAoCols_MPIAIJ(A,P,MAT_INITIAL_MATRIX,&ptap->startsj_s,&ptap->startsj_r,&ptap->bufa,&P_oth);CHKERRQ(ierr); /* get P_loc by taking all local rows of P */ ierr = MatMPIAIJGetLocalMat(P,MAT_INITIAL_MATRIX,&P_loc);CHKERRQ(ierr); ptap->P_loc = P_loc; ptap->P_oth = P_oth; /* (0) compute Rd = Pd^T, Ro = Po^T */ /* --------------------------------- */ ierr = MatTranspose(p->A,MAT_INITIAL_MATRIX,&ptap->Rd);CHKERRQ(ierr); ierr = MatTranspose(p->B,MAT_INITIAL_MATRIX,&ptap->Ro);CHKERRQ(ierr); /* (1) compute symbolic AP = A_loc*P = Ad*P_loc + Ao*P_oth (api,apj) */ /* ----------------------------------------------------------------- */ p_loc = (Mat_SeqAIJ*)P_loc->data; if (P_oth) p_oth = (Mat_SeqAIJ*)P_oth->data; /* create and initialize a linked list */ ierr = PetscTableCreate(pn,pN,&ta);CHKERRQ(ierr); /* for compute AP_loc and Cmpi */ MatRowMergeMax_SeqAIJ(p_loc,P_loc->rmap->N,ta); MatRowMergeMax_SeqAIJ(p_oth,P_oth->rmap->N,ta); ierr = PetscTableGetCount(ta,&Crmax);CHKERRQ(ierr); /* Crmax = nnz(sum of Prows) */ ierr = PetscLLCondensedCreate_Scalable(Crmax,&lnk);CHKERRQ(ierr); /* Initial FreeSpace size is fill*(nnz(A) + nnz(P)) */ if (ao) { ierr = PetscFreeSpaceGet(PetscRealIntMultTruncate(fill,PetscIntSumTruncate(ad->i[am],PetscIntSumTruncate(ao->i[am],p_loc->i[pm]))),&free_space);CHKERRQ(ierr); } else { ierr = PetscFreeSpaceGet(PetscRealIntMultTruncate(fill,PetscIntSumTruncate(ad->i[am],p_loc->i[pm])),&free_space);CHKERRQ(ierr); } current_space = free_space; nspacedouble = 0; ierr = PetscMalloc1(am+1,&api);CHKERRQ(ierr); api[0] = 0; for (i=0; ii; pi = p_loc->i; nzi = ai[i+1] - ai[i]; aj = ad->j + ai[i]; for (j=0; jj + pi[row]; /* add non-zero cols of P into the sorted linked list lnk */ ierr = PetscLLCondensedAddSorted_Scalable(pnz,Jptr,lnk);CHKERRQ(ierr); } /* off-diagonal portion: Ao[i,:]*P */ if (ao) { ai = ao->i; pi = p_oth->i; nzi = ai[i+1] - ai[i]; aj = ao->j + ai[i]; for (j=0; jj + pi[row]; ierr = PetscLLCondensedAddSorted_Scalable(pnz,Jptr,lnk);CHKERRQ(ierr); } } apnz = lnk[0]; api[i+1] = api[i] + apnz; /* if free space is not available, double the total space in the list */ if (current_space->local_remainingtotal_array_size),¤t_space);CHKERRQ(ierr); nspacedouble++; } /* Copy data into free space, then initialize lnk */ ierr = PetscLLCondensedClean_Scalable(apnz,current_space->array,lnk);CHKERRQ(ierr); current_space->array += apnz; current_space->local_used += apnz; current_space->local_remaining -= apnz; } /* Allocate space for apj and apv, initialize apj, and */ /* destroy list of free space and other temporary array(s) */ ierr = PetscCalloc2(api[am],&apj,api[am],&apv);CHKERRQ(ierr); ierr = PetscFreeSpaceContiguous(&free_space,apj);CHKERRQ(ierr); ierr = PetscLLCondensedDestroy_Scalable(lnk);CHKERRQ(ierr); /* Create AP_loc for reuse */ ierr = MatCreateSeqAIJWithArrays(PETSC_COMM_SELF,am,pN,api,apj,apv,&ptap->AP_loc);CHKERRQ(ierr); ierr = MatSeqAIJCompactOutExtraColumns_SeqAIJ(ptap->AP_loc, &ptap->ltog);CHKERRQ(ierr); #if defined(PETSC_USE_INFO) if (ao) { apfill = (PetscReal)api[am]/(ad->i[am]+ao->i[am]+p_loc->i[pm]+1); } else { apfill = (PetscReal)api[am]/(ad->i[am]+p_loc->i[pm]+1); } ptap->AP_loc->info.mallocs = nspacedouble; ptap->AP_loc->info.fill_ratio_given = fill; ptap->AP_loc->info.fill_ratio_needed = apfill; if (api[am]) { ierr = PetscInfo3(ptap->AP_loc,"Scalable algorithm, AP_loc reallocs %D; Fill ratio: given %g needed %g.\n",nspacedouble,(double)fill,(double)apfill);CHKERRQ(ierr); ierr = PetscInfo1(ptap->AP_loc,"Use MatPtAP(A,B,MatReuse,%g,&C) for best AP_loc performance.;\n",(double)apfill);CHKERRQ(ierr); } else { ierr = PetscInfo(ptap->AP_loc,"Scalable algorithm, AP_loc is empty \n");CHKERRQ(ierr); } #endif /* (2-1) compute symbolic Co = Ro*AP_loc */ /* -------------------------------------- */ ierr = MatProductCreate(ptap->Ro,ptap->AP_loc,NULL,&ptap->C_oth);CHKERRQ(ierr); ierr = MatGetOptionsPrefix(A,&prefix);CHKERRQ(ierr); ierr = MatSetOptionsPrefix(ptap->C_oth,prefix);CHKERRQ(ierr); ierr = MatAppendOptionsPrefix(ptap->C_oth,"inner_offdiag_");CHKERRQ(ierr); ierr = MatProductSetType(ptap->C_oth,MATPRODUCT_AB);CHKERRQ(ierr); ierr = MatProductSetAlgorithm(ptap->C_oth,"sorted");CHKERRQ(ierr); ierr = MatProductSetFill(ptap->C_oth,fill);CHKERRQ(ierr); ierr = MatProductSetFromOptions(ptap->C_oth);CHKERRQ(ierr); ierr = MatProductSymbolic(ptap->C_oth);CHKERRQ(ierr); /* (3) send coj of C_oth to other processors */ /* ------------------------------------------ */ /* determine row ownership */ ierr = PetscLayoutCreate(comm,&rowmap);CHKERRQ(ierr); ierr = PetscLayoutSetLocalSize(rowmap, pn);CHKERRQ(ierr); ierr = PetscLayoutSetBlockSize(rowmap, 1);CHKERRQ(ierr); ierr = PetscLayoutSetUp(rowmap);CHKERRQ(ierr); ierr = PetscLayoutGetRanges(rowmap,&owners);CHKERRQ(ierr); /* determine the number of messages to send, their lengths */ ierr = PetscMalloc4(size,&len_s,size,&len_si,size,&sstatus,size+2,&owners_co);CHKERRQ(ierr); ierr = PetscArrayzero(len_s,size);CHKERRQ(ierr); ierr = PetscArrayzero(len_si,size);CHKERRQ(ierr); c_oth = (Mat_SeqAIJ*)ptap->C_oth->data; coi = c_oth->i; coj = c_oth->j; con = ptap->C_oth->rmap->n; proc = 0; ierr = ISLocalToGlobalMappingApply(ptap->ltog,coi[con],coj,coj);CHKERRQ(ierr); for (i=0; i= owners[proc+1]) proc++; len_si[proc]++; /* num of rows in Co(=Pt*AP) to be sent to [proc] */ len_s[proc] += coi[i+1] - coi[i]; /* num of nonzeros in Co to be sent to [proc] */ } len = 0; /* max length of buf_si[], see (4) */ owners_co[0] = 0; nsend = 0; for (proc=0; procRd,ptap->AP_loc,NULL,&ptap->C_loc);CHKERRQ(ierr); ierr = MatProductSetType(ptap->C_loc,MATPRODUCT_AB);CHKERRQ(ierr); ierr = MatProductSetAlgorithm(ptap->C_loc,"default");CHKERRQ(ierr); ierr = MatProductSetFill(ptap->C_loc,fill);CHKERRQ(ierr); ierr = MatSetOptionsPrefix(ptap->C_loc,prefix);CHKERRQ(ierr); ierr = MatAppendOptionsPrefix(ptap->C_loc,"inner_diag_");CHKERRQ(ierr); ierr = MatProductSetFromOptions(ptap->C_loc);CHKERRQ(ierr); ierr = MatProductSymbolic(ptap->C_loc);CHKERRQ(ierr); c_loc = (Mat_SeqAIJ*)ptap->C_loc->data; ierr = ISLocalToGlobalMappingApply(ptap->ltog,c_loc->i[ptap->C_loc->rmap->n],c_loc->j,c_loc->j);CHKERRQ(ierr); /* receives coj are complete */ for (i=0; ii[i+1] - c_loc->i[i]; Jptr = c_loc->j + c_loc->i[i]; ierr = PetscLLCondensedAddSorted_Scalable(nzi,Jptr,lnk);CHKERRQ(ierr); /* add received col data into lnk */ for (k=0; karray,lnk);CHKERRQ(ierr); ierr = MatPreallocateSet(i+owners[rank],nzi,current_space->array,dnz,onz);CHKERRQ(ierr); } ierr = PetscFree3(buf_ri_k,nextrow,nextci);CHKERRQ(ierr); ierr = PetscLLCondensedDestroy_Scalable(lnk);CHKERRQ(ierr); ierr = PetscFreeSpaceDestroy(free_space);CHKERRQ(ierr); /* local sizes and preallocation */ ierr = MatSetSizes(Cmpi,pn,pn,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); if (P->cmap->bs > 0) { ierr = PetscLayoutSetBlockSize(Cmpi->rmap,P->cmap->bs);CHKERRQ(ierr); ierr = PetscLayoutSetBlockSize(Cmpi->cmap,P->cmap->bs);CHKERRQ(ierr); } ierr = MatMPIAIJSetPreallocation(Cmpi,0,dnz,0,onz);CHKERRQ(ierr); ierr = MatPreallocateFinalize(dnz,onz);CHKERRQ(ierr); /* members in merge */ ierr = PetscFree(id_r);CHKERRQ(ierr); ierr = PetscFree(len_r);CHKERRQ(ierr); ierr = PetscFree(buf_ri[0]);CHKERRQ(ierr); ierr = PetscFree(buf_ri);CHKERRQ(ierr); ierr = PetscFree(buf_rj[0]);CHKERRQ(ierr); ierr = PetscFree(buf_rj);CHKERRQ(ierr); ierr = PetscLayoutDestroy(&rowmap);CHKERRQ(ierr); nout = 0; ierr = ISGlobalToLocalMappingApply(ptap->ltog,IS_GTOLM_DROP,c_oth->i[ptap->C_oth->rmap->n],c_oth->j,&nout,c_oth->j);CHKERRQ(ierr); if (c_oth->i[ptap->C_oth->rmap->n] != nout) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Incorrect mapping %D != %D\n",c_oth->i[ptap->C_oth->rmap->n],nout); ierr = ISGlobalToLocalMappingApply(ptap->ltog,IS_GTOLM_DROP,c_loc->i[ptap->C_loc->rmap->n],c_loc->j,&nout,c_loc->j);CHKERRQ(ierr); if (c_loc->i[ptap->C_loc->rmap->n] != nout) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_INCOMP,"Incorrect mapping %D != %D\n",c_loc->i[ptap->C_loc->rmap->n],nout); /* attach the supporting struct to Cmpi for reuse */ Cmpi->product->data = ptap; Cmpi->product->view = MatView_MPIAIJ_PtAP; Cmpi->product->destroy = MatDestroy_MPIAIJ_PtAP; /* Cmpi is not ready for use - assembly will be done by MatPtAPNumeric() */ Cmpi->assembled = PETSC_FALSE; Cmpi->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIAIJ_scalable; PetscFunctionReturn(0); } PETSC_STATIC_INLINE PetscErrorCode MatPtAPSymbolicComputeOneRowOfAP_private(Mat A,Mat P,Mat P_oth,const PetscInt *map,PetscInt dof,PetscInt i,PetscHSetI dht,PetscHSetI oht) { Mat_MPIAIJ *a=(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data; Mat_SeqAIJ *ad=(Mat_SeqAIJ*)(a->A)->data,*ao=(Mat_SeqAIJ*)(a->B)->data,*p_oth=(Mat_SeqAIJ*)P_oth->data,*pd=(Mat_SeqAIJ*)p->A->data,*po=(Mat_SeqAIJ*)p->B->data; PetscInt *ai,nzi,j,*aj,row,col,*pi,*pj,pnz,nzpi,*p_othcols,k; PetscInt pcstart,pcend,column,offset; PetscErrorCode ierr; PetscFunctionBegin; pcstart = P->cmap->rstart; pcstart *= dof; pcend = P->cmap->rend; pcend *= dof; /* diagonal portion: Ad[i,:]*P */ ai = ad->i; nzi = ai[i+1] - ai[i]; aj = ad->j + ai[i]; for (j=0; ji[row+1] - pd->i[row]; pj = pd->j + pd->i[row]; for (k=0; ki[row+1] - po->i[row]; pj = po->j + po->i[row]; for (k=0; kgarray[pj[k]]*dof+offset);CHKERRQ(ierr); } } /* off diagonal part: Ao[i, :]*P_oth */ if (ao) { ai = ao->i; pi = p_oth->i; nzi = ai[i+1] - ai[i]; aj = ao->j + ai[i]; for (j=0; jgarray[row]%dof; row = map[row]; pnz = pi[row+1] - pi[row]; p_othcols = p_oth->j + pi[row]; for (col=0; col=pcstart && columndata,*p=(Mat_MPIAIJ*)P->data; Mat_SeqAIJ *ad=(Mat_SeqAIJ*)(a->A)->data,*ao=(Mat_SeqAIJ*)(a->B)->data,*p_oth=(Mat_SeqAIJ*)P_oth->data,*pd=(Mat_SeqAIJ*)p->A->data,*po=(Mat_SeqAIJ*)p->B->data; PetscInt *ai,nzi,j,*aj,row,col,*pi,pnz,*p_othcols,pcstart,*pj,k,nzpi,offset; PetscScalar ra,*aa,*pa; PetscErrorCode ierr; PetscFunctionBegin; pcstart = P->cmap->rstart; pcstart *= dof; /* diagonal portion: Ad[i,:]*P */ ai = ad->i; nzi = ai[i+1] - ai[i]; aj = ad->j + ai[i]; aa = ad->a + ai[i]; for (j=0; ji[row+1] - pd->i[row]; pj = pd->j + pd->i[row]; pa = pd->a + pd->i[row]; for (k=0; ki[row+1] - po->i[row]; pj = po->j + po->i[row]; pa = po->a + po->i[row]; for (k=0; kgarray[pj[k]]*dof+offset,ra*pa[k]);CHKERRQ(ierr); } ierr = PetscLogFlops(2.0*nzpi);CHKERRQ(ierr); } /* off diagonal part: Ao[i, :]*P_oth */ if (ao) { ai = ao->i; pi = p_oth->i; nzi = ai[i+1] - ai[i]; aj = ao->j + ai[i]; aa = ao->a + ai[i]; for (j=0; jgarray[row]%dof; row = map[row]; ra = aa[j]; pnz = pi[row+1] - pi[row]; p_othcols = p_oth->j + pi[row]; pa = p_oth->a + pi[row]; for (col=0; coldata,*c=(Mat_MPIAIJ*)C->data; Mat_SeqAIJ *cd,*co,*po=(Mat_SeqAIJ*)p->B->data,*pd=(Mat_SeqAIJ*)p->A->data; Mat_APMPI *ptap; PetscHMapIV hmap; PetscInt i,j,jj,kk,nzi,*c_rmtj,voff,*c_othj,pn,pon,pcstart,pcend,ccstart,ccend,row,am,*poj,*pdj,*apindices,cmaxr,*c_rmtc,*c_rmtjj,*dcc,*occ,loc; PetscScalar *c_rmta,*c_otha,*poa,*pda,*apvalues,*apvaluestmp,*c_rmtaa; PetscInt offset,ii,pocol; const PetscInt *mappingindices; IS map; PetscFunctionBegin; MatCheckProduct(C,4); ptap = (Mat_APMPI*)C->product->data; if (!ptap) SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_WRONGSTATE,"PtAP cannot be computed. Missing data"); if (!ptap->P_oth) SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_WRONGSTATE,"PtAP cannot be reused. Do not call MatProductClear()"); ierr = MatZeroEntries(C);CHKERRQ(ierr); /* Get P_oth = ptap->P_oth and P_loc = ptap->P_loc */ /*-----------------------------------------------------*/ if (ptap->reuse == MAT_REUSE_MATRIX) { /* P_oth and P_loc are obtained in MatPtASymbolic() when reuse == MAT_INITIAL_MATRIX */ ierr = MatGetBrowsOfAcols_MPIXAIJ(A,P,dof,MAT_REUSE_MATRIX,&ptap->P_oth);CHKERRQ(ierr); } ierr = PetscObjectQuery((PetscObject)ptap->P_oth,"aoffdiagtopothmapping",(PetscObject*)&map);CHKERRQ(ierr); ierr = MatGetLocalSize(p->B,NULL,&pon);CHKERRQ(ierr); pon *= dof; ierr = PetscCalloc2(ptap->c_rmti[pon],&c_rmtj,ptap->c_rmti[pon],&c_rmta);CHKERRQ(ierr); ierr = MatGetLocalSize(A,&am,NULL);CHKERRQ(ierr); cmaxr = 0; for (i=0; ic_rmti[i+1]-ptap->c_rmti[i]); } ierr = PetscCalloc4(cmaxr,&apindices,cmaxr,&apvalues,cmaxr,&apvaluestmp,pon,&c_rmtc);CHKERRQ(ierr); ierr = PetscHMapIVCreate(&hmap);CHKERRQ(ierr); ierr = PetscHMapIVResize(hmap,cmaxr);CHKERRQ(ierr); ierr = ISGetIndices(map,&mappingindices);CHKERRQ(ierr); for (i=0; ii[ii+1] - po->i[ii]; if (!nzi) continue; ierr = MatPtAPNumericComputeOneRowOfAP_private(A,P,ptap->P_oth,mappingindices,dof,i,hmap);CHKERRQ(ierr); voff = 0; ierr = PetscHMapIVGetPairs(hmap,&voff,apindices,apvalues);CHKERRQ(ierr); if (!voff) continue; /* Form C(ii, :) */ poj = po->j + po->i[ii]; poa = po->a + po->i[ii]; for (j=0; jc_rmti[pocol]; c_rmtaa = c_rmta + ptap->c_rmti[pocol]; for (jj=0; jj=0){ /* hit */ c_rmtaa[loc] += apvaluestmp[jj]; ierr = PetscLogFlops(1.0);CHKERRQ(ierr); } else { /* new element */ loc = -(loc+1); /* Move data backward */ for (kk=c_rmtc[pocol]; kk>loc; kk--) { c_rmtjj[kk] = c_rmtjj[kk-1]; c_rmtaa[kk] = c_rmtaa[kk-1]; }/* End kk */ c_rmtjj[loc] = apindices[jj]; c_rmtaa[loc] = apvaluestmp[jj]; c_rmtc[pocol]++; } } ierr = PetscLogFlops(voff);CHKERRQ(ierr); } /* End jj */ } /* End j */ } /* End i */ ierr = PetscFree4(apindices,apvalues,apvaluestmp,c_rmtc);CHKERRQ(ierr); ierr = PetscHMapIVDestroy(&hmap);CHKERRQ(ierr); ierr = MatGetLocalSize(P,NULL,&pn);CHKERRQ(ierr); pn *= dof; ierr = PetscCalloc2(ptap->c_othi[pn],&c_othj,ptap->c_othi[pn],&c_otha);CHKERRQ(ierr); ierr = PetscSFReduceBegin(ptap->sf,MPIU_INT,c_rmtj,c_othj,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscSFReduceBegin(ptap->sf,MPIU_SCALAR,c_rmta,c_otha,MPI_REPLACE);CHKERRQ(ierr); ierr = MatGetOwnershipRangeColumn(P,&pcstart,&pcend);CHKERRQ(ierr); pcstart = pcstart*dof; pcend = pcend*dof; cd = (Mat_SeqAIJ*)(c->A)->data; co = (Mat_SeqAIJ*)(c->B)->data; cmaxr = 0; for (i=0; ii[i+1]-cd->i[i])+(co->i[i+1]-co->i[i])); } ierr = PetscCalloc5(cmaxr,&apindices,cmaxr,&apvalues,cmaxr,&apvaluestmp,pn,&dcc,pn,&occ);CHKERRQ(ierr); ierr = PetscHMapIVCreate(&hmap);CHKERRQ(ierr); ierr = PetscHMapIVResize(hmap,cmaxr);CHKERRQ(ierr); for (i=0; ii[ii+1] - pd->i[ii]; if (!nzi) continue; ierr = MatPtAPNumericComputeOneRowOfAP_private(A,P,ptap->P_oth,mappingindices,dof,i,hmap);CHKERRQ(ierr); voff = 0; ierr = PetscHMapIVGetPairs(hmap,&voff,apindices,apvalues);CHKERRQ(ierr); if (!voff) continue; /* Form C(ii, :) */ pdj = pd->j + pd->i[ii]; pda = pd->a + pd->i[ii]; for (j=0; jsf,MPIU_INT,c_rmtj,c_othj,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscSFReduceEnd(ptap->sf,MPIU_SCALAR,c_rmta,c_otha,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscFree2(c_rmtj,c_rmta);CHKERRQ(ierr); /* Add contributions from remote */ for (i = 0; i < pn; i++) { row = i + pcstart; ierr = MatSetValues(C,1,&row,ptap->c_othi[i+1]-ptap->c_othi[i],c_othj+ptap->c_othi[i],c_otha+ptap->c_othi[i],ADD_VALUES);CHKERRQ(ierr); } ierr = PetscFree2(c_othj,c_otha);CHKERRQ(ierr); ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ptap->reuse = MAT_REUSE_MATRIX; PetscFunctionReturn(0); } PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce(Mat A,Mat P,Mat C) { PetscErrorCode ierr; PetscFunctionBegin; ierr = MatPtAPNumeric_MPIAIJ_MPIXAIJ_allatonce(A,P,1,C);CHKERRQ(ierr); PetscFunctionReturn(0); } PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIXAIJ_allatonce_merged(Mat A,Mat P,PetscInt dof,Mat C) { PetscErrorCode ierr; Mat_MPIAIJ *p=(Mat_MPIAIJ*)P->data,*c=(Mat_MPIAIJ*)C->data; Mat_SeqAIJ *cd,*co,*po=(Mat_SeqAIJ*)p->B->data,*pd=(Mat_SeqAIJ*)p->A->data; Mat_APMPI *ptap; PetscHMapIV hmap; PetscInt i,j,jj,kk,nzi,dnzi,*c_rmtj,voff,*c_othj,pn,pon,pcstart,pcend,row,am,*poj,*pdj,*apindices,cmaxr,*c_rmtc,*c_rmtjj,loc; PetscScalar *c_rmta,*c_otha,*poa,*pda,*apvalues,*apvaluestmp,*c_rmtaa; PetscInt offset,ii,pocol; const PetscInt *mappingindices; IS map; PetscFunctionBegin; MatCheckProduct(C,4); ptap = (Mat_APMPI*)C->product->data; if (!ptap) SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_WRONGSTATE,"PtAP cannot be computed. Missing data"); if (!ptap->P_oth) SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_WRONGSTATE,"PtAP cannot be reused. Do not call MatProductClear()"); ierr = MatZeroEntries(C);CHKERRQ(ierr); /* Get P_oth = ptap->P_oth and P_loc = ptap->P_loc */ /*-----------------------------------------------------*/ if (ptap->reuse == MAT_REUSE_MATRIX) { /* P_oth and P_loc are obtained in MatPtASymbolic() when reuse == MAT_INITIAL_MATRIX */ ierr = MatGetBrowsOfAcols_MPIXAIJ(A,P,dof,MAT_REUSE_MATRIX,&ptap->P_oth);CHKERRQ(ierr); } ierr = PetscObjectQuery((PetscObject)ptap->P_oth,"aoffdiagtopothmapping",(PetscObject*)&map);CHKERRQ(ierr); ierr = MatGetLocalSize(p->B,NULL,&pon);CHKERRQ(ierr); pon *= dof; ierr = MatGetLocalSize(P,NULL,&pn);CHKERRQ(ierr); pn *= dof; ierr = PetscCalloc2(ptap->c_rmti[pon],&c_rmtj,ptap->c_rmti[pon],&c_rmta);CHKERRQ(ierr); ierr = MatGetLocalSize(A,&am,NULL);CHKERRQ(ierr); ierr = MatGetOwnershipRangeColumn(P,&pcstart,&pcend);CHKERRQ(ierr); pcstart *= dof; pcend *= dof; cmaxr = 0; for (i=0; ic_rmti[i+1]-ptap->c_rmti[i]); } cd = (Mat_SeqAIJ*)(c->A)->data; co = (Mat_SeqAIJ*)(c->B)->data; for (i=0; ii[i+1]-cd->i[i])+(co->i[i+1]-co->i[i])); } ierr = PetscCalloc4(cmaxr,&apindices,cmaxr,&apvalues,cmaxr,&apvaluestmp,pon,&c_rmtc);CHKERRQ(ierr); ierr = PetscHMapIVCreate(&hmap);CHKERRQ(ierr); ierr = PetscHMapIVResize(hmap,cmaxr);CHKERRQ(ierr); ierr = ISGetIndices(map,&mappingindices);CHKERRQ(ierr); for (i=0; ii[ii+1] - po->i[ii]; dnzi = pd->i[ii+1] - pd->i[ii]; if (!nzi && !dnzi) continue; ierr = MatPtAPNumericComputeOneRowOfAP_private(A,P,ptap->P_oth,mappingindices,dof,i,hmap);CHKERRQ(ierr); voff = 0; ierr = PetscHMapIVGetPairs(hmap,&voff,apindices,apvalues);CHKERRQ(ierr); if (!voff) continue; /* Form remote C(ii, :) */ poj = po->j + po->i[ii]; poa = po->a + po->i[ii]; for (j=0; jc_rmti[pocol]; c_rmtaa = c_rmta + ptap->c_rmti[pocol]; for (jj=0; jj=0){ /* hit */ c_rmtaa[loc] += apvaluestmp[jj]; ierr = PetscLogFlops(1.0);CHKERRQ(ierr); } else { /* new element */ loc = -(loc+1); /* Move data backward */ for (kk=c_rmtc[pocol]; kk>loc; kk--) { c_rmtjj[kk] = c_rmtjj[kk-1]; c_rmtaa[kk] = c_rmtaa[kk-1]; }/* End kk */ c_rmtjj[loc] = apindices[jj]; c_rmtaa[loc] = apvaluestmp[jj]; c_rmtc[pocol]++; } } } /* End jj */ ierr = PetscLogFlops(voff);CHKERRQ(ierr); } /* End j */ /* Form local C(ii, :) */ pdj = pd->j + pd->i[ii]; pda = pd->a + pd->i[ii]; for (j=0; jc_othi[pn],&c_othj,ptap->c_othi[pn],&c_otha);CHKERRQ(ierr); ierr = PetscSFReduceBegin(ptap->sf,MPIU_INT,c_rmtj,c_othj,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscSFReduceBegin(ptap->sf,MPIU_SCALAR,c_rmta,c_otha,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscSFReduceEnd(ptap->sf,MPIU_INT,c_rmtj,c_othj,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscSFReduceEnd(ptap->sf,MPIU_SCALAR,c_rmta,c_otha,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscFree2(c_rmtj,c_rmta);CHKERRQ(ierr); /* Add contributions from remote */ for (i = 0; i < pn; i++) { row = i + pcstart; ierr = MatSetValues(C,1,&row,ptap->c_othi[i+1]-ptap->c_othi[i],c_othj+ptap->c_othi[i],c_otha+ptap->c_othi[i],ADD_VALUES);CHKERRQ(ierr); } ierr = PetscFree2(c_othj,c_otha);CHKERRQ(ierr); ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ptap->reuse = MAT_REUSE_MATRIX; PetscFunctionReturn(0); } PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce_merged(Mat A,Mat P,Mat C) { PetscErrorCode ierr; PetscFunctionBegin; ierr = MatPtAPNumeric_MPIAIJ_MPIXAIJ_allatonce_merged(A,P,1,C);CHKERRQ(ierr); PetscFunctionReturn(0); } /* TODO: move algorithm selection to MatProductSetFromOptions */ PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIXAIJ_allatonce(Mat A,Mat P,PetscInt dof,PetscReal fill,Mat Cmpi) { Mat_APMPI *ptap; Mat_MPIAIJ *p=(Mat_MPIAIJ*)P->data; MPI_Comm comm; Mat_SeqAIJ *pd=(Mat_SeqAIJ*)p->A->data,*po=(Mat_SeqAIJ*)p->B->data; MatType mtype; PetscSF sf; PetscSFNode *iremote; PetscInt rootspacesize,*rootspace,*rootspaceoffsets,nleaves; const PetscInt *rootdegrees; PetscHSetI ht,oht,*hta,*hto; PetscInt pn,pon,*c_rmtc,i,j,nzi,htsize,htosize,*c_rmtj,off,*c_othj,rcvncols,sendncols,*c_rmtoffsets; PetscInt lidx,*rdj,col,pcstart,pcend,*dnz,*onz,am,arstart,arend,*poj,*pdj; PetscInt nalg=2,alg=0,offset,ii; PetscMPIInt owner; const PetscInt *mappingindices; PetscBool flg; const char *algTypes[2] = {"overlapping","merged"}; IS map; PetscErrorCode ierr; PetscFunctionBegin; MatCheckProduct(Cmpi,5); if (Cmpi->product->data) SETERRQ(PetscObjectComm((PetscObject)Cmpi),PETSC_ERR_PLIB,"Product data not empty"); ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); /* Create symbolic parallel matrix Cmpi */ ierr = MatGetLocalSize(P,NULL,&pn);CHKERRQ(ierr); pn *= dof; ierr = MatGetType(A,&mtype);CHKERRQ(ierr); ierr = MatSetType(Cmpi,mtype);CHKERRQ(ierr); ierr = MatSetSizes(Cmpi,pn,pn,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); ierr = PetscNew(&ptap);CHKERRQ(ierr); ptap->reuse = MAT_INITIAL_MATRIX; ptap->algType = 2; /* Get P_oth by taking rows of P (= non-zero cols of local A) from other processors */ ierr = MatGetBrowsOfAcols_MPIXAIJ(A,P,dof,MAT_INITIAL_MATRIX,&ptap->P_oth);CHKERRQ(ierr); ierr = PetscObjectQuery((PetscObject)ptap->P_oth,"aoffdiagtopothmapping",(PetscObject*)&map);CHKERRQ(ierr); /* This equals to the number of offdiag columns in P */ ierr = MatGetLocalSize(p->B,NULL,&pon);CHKERRQ(ierr); pon *= dof; /* offsets */ ierr = PetscMalloc1(pon+1,&ptap->c_rmti);CHKERRQ(ierr); /* The number of columns we will send to remote ranks */ ierr = PetscMalloc1(pon,&c_rmtc);CHKERRQ(ierr); ierr = PetscMalloc1(pon,&hta);CHKERRQ(ierr); for (i=0; ic_rmti[0] = 0; /* 2) Pass 1: calculate the size for C_rmt (a matrix need to be sent to other processors) */ for (i=0; ii[ii+1] - po->i[ii]; if (!nzi) continue; ierr = MatPtAPSymbolicComputeOneRowOfAP_private(A,P,ptap->P_oth,mappingindices,dof,i,ht,ht);CHKERRQ(ierr); ierr = PetscHSetIGetSize(ht,&htsize);CHKERRQ(ierr); /* If AP is empty, just continue */ if (!htsize) continue; /* Form C(ii, :) */ poj = po->j + po->i[ii]; for (j=0; jc_rmti[i+1] = ptap->c_rmti[i] + htsize; c_rmtc[i] = htsize; } ierr = PetscMalloc1(ptap->c_rmti[pon],&c_rmtj);CHKERRQ(ierr); for (i=0; ic_rmti[i]);CHKERRQ(ierr); ierr = PetscHSetIDestroy(&hta[i]);CHKERRQ(ierr); } ierr = PetscFree(hta);CHKERRQ(ierr); ierr = PetscMalloc1(pon,&iremote);CHKERRQ(ierr); for (i=0; icmap,p->garray[ii],&owner,&lidx);CHKERRQ(ierr); iremote[i].index = lidx*dof + offset; iremote[i].rank = owner; } ierr = PetscSFCreate(comm,&sf);CHKERRQ(ierr); ierr = PetscSFSetGraph(sf,pn,pon,NULL,PETSC_OWN_POINTER,iremote,PETSC_OWN_POINTER);CHKERRQ(ierr); /* Reorder ranks properly so that the data handled by gather and scatter have the same order */ ierr = PetscSFSetRankOrder(sf,PETSC_TRUE);CHKERRQ(ierr); ierr = PetscSFSetFromOptions(sf);CHKERRQ(ierr); ierr = PetscSFSetUp(sf);CHKERRQ(ierr); /* How many neighbors have contributions to my rows? */ ierr = PetscSFComputeDegreeBegin(sf,&rootdegrees);CHKERRQ(ierr); ierr = PetscSFComputeDegreeEnd(sf,&rootdegrees);CHKERRQ(ierr); rootspacesize = 0; for (i = 0; i < pn; i++) { rootspacesize += rootdegrees[i]; } ierr = PetscMalloc1(rootspacesize,&rootspace);CHKERRQ(ierr); ierr = PetscMalloc1(rootspacesize+1,&rootspaceoffsets);CHKERRQ(ierr); /* Get information from leaves * Number of columns other people contribute to my rows * */ ierr = PetscSFGatherBegin(sf,MPIU_INT,c_rmtc,rootspace);CHKERRQ(ierr); ierr = PetscSFGatherEnd(sf,MPIU_INT,c_rmtc,rootspace);CHKERRQ(ierr); ierr = PetscFree(c_rmtc);CHKERRQ(ierr); ierr = PetscCalloc1(pn+1,&ptap->c_othi);CHKERRQ(ierr); /* The number of columns is received for each row */ ptap->c_othi[0] = 0; rootspacesize = 0; rootspaceoffsets[0] = 0; for (i = 0; i < pn; i++) { rcvncols = 0; for (j = 0; jc_othi[i+1] = ptap->c_othi[i] + rcvncols; } ierr = PetscFree(rootspace);CHKERRQ(ierr); ierr = PetscMalloc1(pon,&c_rmtoffsets);CHKERRQ(ierr); ierr = PetscSFScatterBegin(sf,MPIU_INT,rootspaceoffsets,c_rmtoffsets);CHKERRQ(ierr); ierr = PetscSFScatterEnd(sf,MPIU_INT,rootspaceoffsets,c_rmtoffsets);CHKERRQ(ierr); ierr = PetscSFDestroy(&sf);CHKERRQ(ierr); ierr = PetscFree(rootspaceoffsets);CHKERRQ(ierr); ierr = PetscCalloc1(ptap->c_rmti[pon],&iremote);CHKERRQ(ierr); nleaves = 0; for (i = 0; icmap,p->garray[ii],&owner,NULL);CHKERRQ(ierr); sendncols = ptap->c_rmti[i+1] - ptap->c_rmti[i]; for (j=0; jc_othi[pn],&c_othj);CHKERRQ(ierr); ierr = PetscSFCreate(comm,&ptap->sf);CHKERRQ(ierr); ierr = PetscSFSetGraph(ptap->sf,ptap->c_othi[pn],nleaves,NULL,PETSC_OWN_POINTER,iremote,PETSC_OWN_POINTER);CHKERRQ(ierr); ierr = PetscSFSetFromOptions(ptap->sf);CHKERRQ(ierr); /* One to one map */ ierr = PetscSFReduceBegin(ptap->sf,MPIU_INT,c_rmtj,c_othj,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscMalloc2(pn,&dnz,pn,&onz);CHKERRQ(ierr); ierr = PetscHSetICreate(&oht);CHKERRQ(ierr); ierr = MatGetOwnershipRangeColumn(P,&pcstart,&pcend);CHKERRQ(ierr); pcstart *= dof; pcend *= dof; ierr = PetscMalloc2(pn,&hta,pn,&hto);CHKERRQ(ierr); for (i=0; ii[ii+1] - pd->i[ii]; if (!nzi) continue; ierr = MatPtAPSymbolicComputeOneRowOfAP_private(A,P,ptap->P_oth,mappingindices,dof,i,ht,oht);CHKERRQ(ierr); ierr = PetscHSetIGetSize(ht,&htsize);CHKERRQ(ierr); ierr = PetscHSetIGetSize(oht,&htosize);CHKERRQ(ierr); if (!(htsize+htosize)) continue; /* Form C(ii, :) */ pdj = pd->j + pd->i[ii]; for (j=0; jsf,MPIU_INT,c_rmtj,c_othj,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscFree(c_rmtj);CHKERRQ(ierr); for (i = 0; i < pn; i++) { nzi = ptap->c_othi[i+1] - ptap->c_othi[i]; rdj = c_othj + ptap->c_othi[i]; for (j = 0; j < nzi; j++) { col = rdj[j]; /* diag part */ if (col>=pcstart && col1? dof: P->cmap->bs,dof>1? dof: P->cmap->bs);CHKERRQ(ierr); ierr = MatMPIAIJSetPreallocation(Cmpi,0,dnz,0,onz);CHKERRQ(ierr); ierr = MatSetUp(Cmpi);CHKERRQ(ierr); ierr = PetscFree2(dnz,onz);CHKERRQ(ierr); /* attach the supporting struct to Cmpi for reuse */ Cmpi->product->data = ptap; Cmpi->product->destroy = MatDestroy_MPIAIJ_PtAP; Cmpi->product->view = MatView_MPIAIJ_PtAP; /* Cmpi is not ready for use - assembly will be done by MatPtAPNumeric() */ Cmpi->assembled = PETSC_FALSE; /* pick an algorithm */ ierr = PetscOptionsBegin(PetscObjectComm((PetscObject)A),((PetscObject)A)->prefix,"MatPtAP","Mat");CHKERRQ(ierr); alg = 0; ierr = PetscOptionsEList("-matptap_allatonce_via","PtAP allatonce numeric approach","MatPtAP",algTypes,nalg,algTypes[alg],&alg,&flg);CHKERRQ(ierr); ierr = PetscOptionsEnd();CHKERRQ(ierr); switch (alg) { case 0: Cmpi->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce; break; case 1: Cmpi->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce_merged; break; default: SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG," Unsupported allatonce numerical algorithm \n"); } PetscFunctionReturn(0); } PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce(Mat A,Mat P,PetscReal fill,Mat C) { PetscErrorCode ierr; PetscFunctionBegin; ierr = MatPtAPSymbolic_MPIAIJ_MPIXAIJ_allatonce(A,P,1,fill,C);CHKERRQ(ierr); PetscFunctionReturn(0); } PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIXAIJ_allatonce_merged(Mat A,Mat P,PetscInt dof,PetscReal fill,Mat Cmpi) { Mat_APMPI *ptap; Mat_MPIAIJ *p=(Mat_MPIAIJ*)P->data; MPI_Comm comm; Mat_SeqAIJ *pd=(Mat_SeqAIJ*)p->A->data,*po=(Mat_SeqAIJ*)p->B->data; MatType mtype; PetscSF sf; PetscSFNode *iremote; PetscInt rootspacesize,*rootspace,*rootspaceoffsets,nleaves; const PetscInt *rootdegrees; PetscHSetI ht,oht,*hta,*hto,*htd; PetscInt pn,pon,*c_rmtc,i,j,nzi,dnzi,htsize,htosize,*c_rmtj,off,*c_othj,rcvncols,sendncols,*c_rmtoffsets; PetscInt lidx,*rdj,col,pcstart,pcend,*dnz,*onz,am,arstart,arend,*poj,*pdj; PetscInt nalg=2,alg=0,offset,ii; PetscMPIInt owner; PetscBool flg; const char *algTypes[2] = {"merged","overlapping"}; const PetscInt *mappingindices; IS map; PetscErrorCode ierr; PetscFunctionBegin; MatCheckProduct(Cmpi,5); if (Cmpi->product->data) SETERRQ(PetscObjectComm((PetscObject)Cmpi),PETSC_ERR_PLIB,"Product data not empty"); ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); /* Create symbolic parallel matrix Cmpi */ ierr = MatGetLocalSize(P,NULL,&pn);CHKERRQ(ierr); pn *= dof; ierr = MatGetType(A,&mtype);CHKERRQ(ierr); ierr = MatSetType(Cmpi,mtype);CHKERRQ(ierr); ierr = MatSetSizes(Cmpi,pn,pn,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); ierr = PetscNew(&ptap);CHKERRQ(ierr); ptap->reuse = MAT_INITIAL_MATRIX; ptap->algType = 3; /* 0) Get P_oth by taking rows of P (= non-zero cols of local A) from other processors */ ierr = MatGetBrowsOfAcols_MPIXAIJ(A,P,dof,MAT_INITIAL_MATRIX,&ptap->P_oth);CHKERRQ(ierr); ierr = PetscObjectQuery((PetscObject)ptap->P_oth,"aoffdiagtopothmapping",(PetscObject*)&map);CHKERRQ(ierr); /* This equals to the number of offdiag columns in P */ ierr = MatGetLocalSize(p->B,NULL,&pon);CHKERRQ(ierr); pon *= dof; /* offsets */ ierr = PetscMalloc1(pon+1,&ptap->c_rmti);CHKERRQ(ierr); /* The number of columns we will send to remote ranks */ ierr = PetscMalloc1(pon,&c_rmtc);CHKERRQ(ierr); ierr = PetscMalloc1(pon,&hta);CHKERRQ(ierr); for (i=0; ic_rmti[0] = 0; /* 2) Pass 1: calculate the size for C_rmt (a matrix need to be sent to other processors) */ for (i=0; ii[ii+1] - po->i[ii]; dnzi = pd->i[ii+1] - pd->i[ii]; if (!nzi && !dnzi) continue; ierr = MatPtAPSymbolicComputeOneRowOfAP_private(A,P,ptap->P_oth,mappingindices,dof,i,ht,oht);CHKERRQ(ierr); ierr = PetscHSetIGetSize(ht,&htsize);CHKERRQ(ierr); ierr = PetscHSetIGetSize(oht,&htosize);CHKERRQ(ierr); /* If AP is empty, just continue */ if (!(htsize+htosize)) continue; /* Form remote C(ii, :) */ poj = po->j + po->i[ii]; for (j=0; jj + pd->i[ii]; for (j=0; jc_rmti[i+1] = ptap->c_rmti[i] + htsize; c_rmtc[i] = htsize; } ierr = PetscMalloc1(ptap->c_rmti[pon],&c_rmtj);CHKERRQ(ierr); for (i=0; ic_rmti[i]);CHKERRQ(ierr); ierr = PetscHSetIDestroy(&hta[i]);CHKERRQ(ierr); } ierr = PetscFree(hta);CHKERRQ(ierr); ierr = PetscMalloc1(pon,&iremote);CHKERRQ(ierr); for (i=0; icmap,p->garray[ii],&owner,&lidx);CHKERRQ(ierr); iremote[i].index = lidx*dof+offset; iremote[i].rank = owner; } ierr = PetscSFCreate(comm,&sf);CHKERRQ(ierr); ierr = PetscSFSetGraph(sf,pn,pon,NULL,PETSC_OWN_POINTER,iremote,PETSC_OWN_POINTER);CHKERRQ(ierr); /* Reorder ranks properly so that the data handled by gather and scatter have the same order */ ierr = PetscSFSetRankOrder(sf,PETSC_TRUE);CHKERRQ(ierr); ierr = PetscSFSetFromOptions(sf);CHKERRQ(ierr); ierr = PetscSFSetUp(sf);CHKERRQ(ierr); /* How many neighbors have contributions to my rows? */ ierr = PetscSFComputeDegreeBegin(sf,&rootdegrees);CHKERRQ(ierr); ierr = PetscSFComputeDegreeEnd(sf,&rootdegrees);CHKERRQ(ierr); rootspacesize = 0; for (i = 0; i < pn; i++) { rootspacesize += rootdegrees[i]; } ierr = PetscMalloc1(rootspacesize,&rootspace);CHKERRQ(ierr); ierr = PetscMalloc1(rootspacesize+1,&rootspaceoffsets);CHKERRQ(ierr); /* Get information from leaves * Number of columns other people contribute to my rows * */ ierr = PetscSFGatherBegin(sf,MPIU_INT,c_rmtc,rootspace);CHKERRQ(ierr); ierr = PetscSFGatherEnd(sf,MPIU_INT,c_rmtc,rootspace);CHKERRQ(ierr); ierr = PetscFree(c_rmtc);CHKERRQ(ierr); ierr = PetscMalloc1(pn+1,&ptap->c_othi);CHKERRQ(ierr); /* The number of columns is received for each row */ ptap->c_othi[0] = 0; rootspacesize = 0; rootspaceoffsets[0] = 0; for (i = 0; i < pn; i++) { rcvncols = 0; for (j = 0; jc_othi[i+1] = ptap->c_othi[i] + rcvncols; } ierr = PetscFree(rootspace);CHKERRQ(ierr); ierr = PetscMalloc1(pon,&c_rmtoffsets);CHKERRQ(ierr); ierr = PetscSFScatterBegin(sf,MPIU_INT,rootspaceoffsets,c_rmtoffsets);CHKERRQ(ierr); ierr = PetscSFScatterEnd(sf,MPIU_INT,rootspaceoffsets,c_rmtoffsets);CHKERRQ(ierr); ierr = PetscSFDestroy(&sf);CHKERRQ(ierr); ierr = PetscFree(rootspaceoffsets);CHKERRQ(ierr); ierr = PetscCalloc1(ptap->c_rmti[pon],&iremote);CHKERRQ(ierr); nleaves = 0; for (i = 0; icmap,p->garray[ii],&owner,NULL);CHKERRQ(ierr); sendncols = ptap->c_rmti[i+1] - ptap->c_rmti[i]; for (j=0; jc_othi[pn],&c_othj);CHKERRQ(ierr); ierr = PetscSFCreate(comm,&ptap->sf);CHKERRQ(ierr); ierr = PetscSFSetGraph(ptap->sf,ptap->c_othi[pn],nleaves,NULL,PETSC_OWN_POINTER,iremote,PETSC_OWN_POINTER);CHKERRQ(ierr); ierr = PetscSFSetFromOptions(ptap->sf);CHKERRQ(ierr); /* One to one map */ ierr = PetscSFReduceBegin(ptap->sf,MPIU_INT,c_rmtj,c_othj,MPI_REPLACE);CHKERRQ(ierr); /* Get remote data */ ierr = PetscSFReduceEnd(ptap->sf,MPIU_INT,c_rmtj,c_othj,MPI_REPLACE);CHKERRQ(ierr); ierr = PetscFree(c_rmtj);CHKERRQ(ierr); ierr = PetscMalloc2(pn,&dnz,pn,&onz);CHKERRQ(ierr); ierr = MatGetOwnershipRangeColumn(P,&pcstart,&pcend);CHKERRQ(ierr); pcstart *= dof; pcend *= dof; for (i = 0; i < pn; i++) { nzi = ptap->c_othi[i+1] - ptap->c_othi[i]; rdj = c_othj + ptap->c_othi[i]; for (j = 0; j < nzi; j++) { col = rdj[j]; /* diag part */ if (col>=pcstart && col1? dof: P->cmap->bs,dof>1? dof: P->cmap->bs);CHKERRQ(ierr); ierr = MatMPIAIJSetPreallocation(Cmpi,0,dnz,0,onz);CHKERRQ(ierr); ierr = PetscFree2(dnz,onz);CHKERRQ(ierr); /* attach the supporting struct to Cmpi for reuse */ Cmpi->product->data = ptap; Cmpi->product->destroy = MatDestroy_MPIAIJ_PtAP; Cmpi->product->view = MatView_MPIAIJ_PtAP; /* Cmpi is not ready for use - assembly will be done by MatPtAPNumeric() */ Cmpi->assembled = PETSC_FALSE; /* pick an algorithm */ ierr = PetscOptionsBegin(PetscObjectComm((PetscObject)A),((PetscObject)A)->prefix,"MatPtAP","Mat");CHKERRQ(ierr); alg = 0; ierr = PetscOptionsEList("-matptap_allatonce_via","PtAP allatonce numeric approach","MatPtAP",algTypes,nalg,algTypes[alg],&alg,&flg);CHKERRQ(ierr); ierr = PetscOptionsEnd();CHKERRQ(ierr); switch (alg) { case 0: Cmpi->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce_merged; break; case 1: Cmpi->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIAIJ_allatonce; break; default: SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG," Unsupported allatonce numerical algorithm \n"); } PetscFunctionReturn(0); } PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce_merged(Mat A,Mat P,PetscReal fill,Mat C) { PetscErrorCode ierr; PetscFunctionBegin; ierr = MatPtAPSymbolic_MPIAIJ_MPIXAIJ_allatonce_merged(A,P,1,fill,C);CHKERRQ(ierr); PetscFunctionReturn(0); } PetscErrorCode MatPtAPSymbolic_MPIAIJ_MPIAIJ(Mat A,Mat P,PetscReal fill,Mat Cmpi) { PetscErrorCode ierr; Mat_APMPI *ptap; Mat_MPIAIJ *a=(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data; MPI_Comm comm; PetscMPIInt size,rank; PetscFreeSpaceList free_space=NULL,current_space=NULL; PetscInt am=A->rmap->n,pm=P->rmap->n,pN=P->cmap->N,pn=P->cmap->n; PetscInt *lnk,i,k,pnz,row,nsend; PetscBT lnkbt; PetscMPIInt tagi,tagj,*len_si,*len_s,*len_ri,nrecv; PETSC_UNUSED PetscMPIInt icompleted=0; PetscInt **buf_rj,**buf_ri,**buf_ri_k; PetscInt len,proc,*dnz,*onz,*owners,nzi,nspacedouble; PetscInt nrows,*buf_s,*buf_si,*buf_si_i,**nextrow,**nextci; MPI_Request *swaits,*rwaits; MPI_Status *sstatus,rstatus; PetscLayout rowmap; PetscInt *owners_co,*coi,*coj; /* i and j array of (p->B)^T*A*P - used in the communication */ PetscMPIInt *len_r,*id_r; /* array of length of comm->size, store send/recv matrix values */ PetscInt *api,*apj,*Jptr,apnz,*prmap=p->garray,con,j,ap_rmax=0,Crmax,*aj,*ai,*pi; Mat_SeqAIJ *p_loc,*p_oth=NULL,*ad=(Mat_SeqAIJ*)(a->A)->data,*ao=NULL,*c_loc,*c_oth; PetscScalar *apv; PetscTable ta; MatType mtype; const char *prefix; #if defined(PETSC_USE_INFO) PetscReal apfill; #endif PetscFunctionBegin; MatCheckProduct(Cmpi,4); if (Cmpi->product->data) SETERRQ(PetscObjectComm((PetscObject)Cmpi),PETSC_ERR_PLIB,"Product data not empty"); ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); ierr = MPI_Comm_size(comm,&size);CHKERRMPI(ierr); ierr = MPI_Comm_rank(comm,&rank);CHKERRMPI(ierr); if (size > 1) ao = (Mat_SeqAIJ*)(a->B)->data; /* create symbolic parallel matrix Cmpi */ ierr = MatGetType(A,&mtype);CHKERRQ(ierr); ierr = MatSetType(Cmpi,mtype);CHKERRQ(ierr); /* Do dense axpy in MatPtAPNumeric_MPIAIJ_MPIAIJ() */ Cmpi->ops->ptapnumeric = MatPtAPNumeric_MPIAIJ_MPIAIJ; /* create struct Mat_APMPI and attached it to C later */ ierr = PetscNew(&ptap);CHKERRQ(ierr); ptap->reuse = MAT_INITIAL_MATRIX; ptap->algType = 1; /* get P_oth by taking rows of P (= non-zero cols of local A) from other processors */ ierr = MatGetBrowsOfAoCols_MPIAIJ(A,P,MAT_INITIAL_MATRIX,&ptap->startsj_s,&ptap->startsj_r,&ptap->bufa,&ptap->P_oth);CHKERRQ(ierr); /* get P_loc by taking all local rows of P */ ierr = MatMPIAIJGetLocalMat(P,MAT_INITIAL_MATRIX,&ptap->P_loc);CHKERRQ(ierr); /* (0) compute Rd = Pd^T, Ro = Po^T */ /* --------------------------------- */ ierr = MatTranspose(p->A,MAT_INITIAL_MATRIX,&ptap->Rd);CHKERRQ(ierr); ierr = MatTranspose(p->B,MAT_INITIAL_MATRIX,&ptap->Ro);CHKERRQ(ierr); /* (1) compute symbolic AP = A_loc*P = Ad*P_loc + Ao*P_oth (api,apj) */ /* ----------------------------------------------------------------- */ p_loc = (Mat_SeqAIJ*)(ptap->P_loc)->data; if (ptap->P_oth) p_oth = (Mat_SeqAIJ*)(ptap->P_oth)->data; /* create and initialize a linked list */ ierr = PetscTableCreate(pn,pN,&ta);CHKERRQ(ierr); /* for compute AP_loc and Cmpi */ MatRowMergeMax_SeqAIJ(p_loc,ptap->P_loc->rmap->N,ta); MatRowMergeMax_SeqAIJ(p_oth,ptap->P_oth->rmap->N,ta); ierr = PetscTableGetCount(ta,&Crmax);CHKERRQ(ierr); /* Crmax = nnz(sum of Prows) */ /* printf("[%d] est %d, Crmax %d; pN %d\n",rank,5*(p_loc->rmax+p_oth->rmax + (PetscInt)(1.e-2*pN)),Crmax,pN); */ ierr = PetscLLCondensedCreate(Crmax,pN,&lnk,&lnkbt);CHKERRQ(ierr); /* Initial FreeSpace size is fill*(nnz(A) + nnz(P)) */ if (ao) { ierr = PetscFreeSpaceGet(PetscRealIntMultTruncate(fill,PetscIntSumTruncate(ad->i[am],PetscIntSumTruncate(ao->i[am],p_loc->i[pm]))),&free_space);CHKERRQ(ierr); } else { ierr = PetscFreeSpaceGet(PetscRealIntMultTruncate(fill,PetscIntSumTruncate(ad->i[am],p_loc->i[pm])),&free_space);CHKERRQ(ierr); } current_space = free_space; nspacedouble = 0; ierr = PetscMalloc1(am+1,&api);CHKERRQ(ierr); api[0] = 0; for (i=0; ii; pi = p_loc->i; nzi = ai[i+1] - ai[i]; aj = ad->j + ai[i]; for (j=0; jj + pi[row]; /* add non-zero cols of P into the sorted linked list lnk */ ierr = PetscLLCondensedAddSorted(pnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); } /* off-diagonal portion: Ao[i,:]*P */ if (ao) { ai = ao->i; pi = p_oth->i; nzi = ai[i+1] - ai[i]; aj = ao->j + ai[i]; for (j=0; jj + pi[row]; ierr = PetscLLCondensedAddSorted(pnz,Jptr,lnk,lnkbt);CHKERRQ(ierr); } } apnz = lnk[0]; api[i+1] = api[i] + apnz; if (ap_rmax < apnz) ap_rmax = apnz; /* if free space is not available, double the total space in the list */ if (current_space->local_remainingtotal_array_size),¤t_space);CHKERRQ(ierr); nspacedouble++; } /* Copy data into free space, then initialize lnk */ ierr = PetscLLCondensedClean(pN,apnz,current_space->array,lnk,lnkbt);CHKERRQ(ierr); current_space->array += apnz; current_space->local_used += apnz; current_space->local_remaining -= apnz; } /* Allocate space for apj and apv, initialize apj, and */ /* destroy list of free space and other temporary array(s) */ ierr = PetscMalloc2(api[am],&apj,api[am],&apv);CHKERRQ(ierr); ierr = PetscFreeSpaceContiguous(&free_space,apj);CHKERRQ(ierr); ierr = PetscLLDestroy(lnk,lnkbt);CHKERRQ(ierr); /* Create AP_loc for reuse */ ierr = MatCreateSeqAIJWithArrays(PETSC_COMM_SELF,am,pN,api,apj,apv,&ptap->AP_loc);CHKERRQ(ierr); ierr = MatSetType(ptap->AP_loc,((PetscObject)p->A)->type_name);CHKERRQ(ierr); #if defined(PETSC_USE_INFO) if (ao) { apfill = (PetscReal)api[am]/(ad->i[am]+ao->i[am]+p_loc->i[pm]+1); } else { apfill = (PetscReal)api[am]/(ad->i[am]+p_loc->i[pm]+1); } ptap->AP_loc->info.mallocs = nspacedouble; ptap->AP_loc->info.fill_ratio_given = fill; ptap->AP_loc->info.fill_ratio_needed = apfill; if (api[am]) { ierr = PetscInfo3(ptap->AP_loc,"Nonscalable algorithm, AP_loc reallocs %D; Fill ratio: given %g needed %g.\n",nspacedouble,(double)fill,(double)apfill);CHKERRQ(ierr); ierr = PetscInfo1(ptap->AP_loc,"Use MatPtAP(A,B,MatReuse,%g,&C) for best AP_loc performance.;\n",(double)apfill);CHKERRQ(ierr); } else { ierr = PetscInfo(ptap->AP_loc,"Nonscalable algorithm, AP_loc is empty \n");CHKERRQ(ierr); } #endif /* (2-1) compute symbolic Co = Ro*AP_loc */ /* ------------------------------------ */ ierr = MatGetOptionsPrefix(A,&prefix);CHKERRQ(ierr); ierr = MatSetOptionsPrefix(ptap->Ro,prefix);CHKERRQ(ierr); ierr = MatAppendOptionsPrefix(ptap->Ro,"inner_offdiag_");CHKERRQ(ierr); ierr = MatProductCreate(ptap->Ro,ptap->AP_loc,NULL,&ptap->C_oth);CHKERRQ(ierr); ierr = MatGetOptionsPrefix(Cmpi,&prefix);CHKERRQ(ierr); ierr = MatSetOptionsPrefix(ptap->C_oth,prefix);CHKERRQ(ierr); ierr = MatAppendOptionsPrefix(ptap->C_oth,"inner_C_oth_");CHKERRQ(ierr); ierr = MatProductSetType(ptap->C_oth,MATPRODUCT_AB);CHKERRQ(ierr); ierr = MatProductSetAlgorithm(ptap->C_oth,"default");CHKERRQ(ierr); ierr = MatProductSetFill(ptap->C_oth,fill);CHKERRQ(ierr); ierr = MatProductSetFromOptions(ptap->C_oth);CHKERRQ(ierr); ierr = MatProductSymbolic(ptap->C_oth);CHKERRQ(ierr); /* (3) send coj of C_oth to other processors */ /* ------------------------------------------ */ /* determine row ownership */ ierr = PetscLayoutCreate(comm,&rowmap);CHKERRQ(ierr); rowmap->n = pn; rowmap->bs = 1; ierr = PetscLayoutSetUp(rowmap);CHKERRQ(ierr); owners = rowmap->range; /* determine the number of messages to send, their lengths */ ierr = PetscMalloc4(size,&len_s,size,&len_si,size,&sstatus,size+2,&owners_co);CHKERRQ(ierr); ierr = PetscArrayzero(len_s,size);CHKERRQ(ierr); ierr = PetscArrayzero(len_si,size);CHKERRQ(ierr); c_oth = (Mat_SeqAIJ*)ptap->C_oth->data; coi = c_oth->i; coj = c_oth->j; con = ptap->C_oth->rmap->n; proc = 0; for (i=0; i= owners[proc+1]) proc++; len_si[proc]++; /* num of rows in Co(=Pt*AP) to be sent to [proc] */ len_s[proc] += coi[i+1] - coi[i]; /* num of nonzeros in Co to be sent to [proc] */ } len = 0; /* max length of buf_si[], see (4) */ owners_co[0] = 0; nsend = 0; for (proc=0; procRd,prefix);CHKERRQ(ierr); ierr = MatAppendOptionsPrefix(ptap->Rd,"inner_diag_");CHKERRQ(ierr); ierr = MatProductCreate(ptap->Rd,ptap->AP_loc,NULL,&ptap->C_loc);CHKERRQ(ierr); ierr = MatGetOptionsPrefix(Cmpi,&prefix);CHKERRQ(ierr); ierr = MatSetOptionsPrefix(ptap->C_loc,prefix);CHKERRQ(ierr); ierr = MatAppendOptionsPrefix(ptap->C_loc,"inner_C_loc_");CHKERRQ(ierr); ierr = MatProductSetType(ptap->C_loc,MATPRODUCT_AB);CHKERRQ(ierr); ierr = MatProductSetAlgorithm(ptap->C_loc,"default");CHKERRQ(ierr); ierr = MatProductSetFill(ptap->C_loc,fill);CHKERRQ(ierr); ierr = MatProductSetFromOptions(ptap->C_loc);CHKERRQ(ierr); ierr = MatProductSymbolic(ptap->C_loc);CHKERRQ(ierr); c_loc = (Mat_SeqAIJ*)ptap->C_loc->data; /* receives coj are complete */ for (i=0; ii[i+1] - c_loc->i[i]; Jptr = c_loc->j + c_loc->i[i]; ierr = PetscLLCondensedAddSorted(nzi,Jptr,lnk,lnkbt);CHKERRQ(ierr); /* add received col data into lnk */ for (k=0; karray,lnk,lnkbt);CHKERRQ(ierr); ierr = MatPreallocateSet(i+owners[rank],nzi,current_space->array,dnz,onz);CHKERRQ(ierr); } ierr = PetscFree3(buf_ri_k,nextrow,nextci);CHKERRQ(ierr); ierr = PetscLLDestroy(lnk,lnkbt);CHKERRQ(ierr); ierr = PetscFreeSpaceDestroy(free_space);CHKERRQ(ierr); /* local sizes and preallocation */ ierr = MatSetSizes(Cmpi,pn,pn,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); if (P->cmap->bs > 0) { ierr = PetscLayoutSetBlockSize(Cmpi->rmap,P->cmap->bs);CHKERRQ(ierr); ierr = PetscLayoutSetBlockSize(Cmpi->cmap,P->cmap->bs);CHKERRQ(ierr); } ierr = MatMPIAIJSetPreallocation(Cmpi,0,dnz,0,onz);CHKERRQ(ierr); ierr = MatPreallocateFinalize(dnz,onz);CHKERRQ(ierr); /* members in merge */ ierr = PetscFree(id_r);CHKERRQ(ierr); ierr = PetscFree(len_r);CHKERRQ(ierr); ierr = PetscFree(buf_ri[0]);CHKERRQ(ierr); ierr = PetscFree(buf_ri);CHKERRQ(ierr); ierr = PetscFree(buf_rj[0]);CHKERRQ(ierr); ierr = PetscFree(buf_rj);CHKERRQ(ierr); ierr = PetscLayoutDestroy(&rowmap);CHKERRQ(ierr); ierr = PetscCalloc1(pN,&ptap->apa);CHKERRQ(ierr); /* attach the supporting struct to Cmpi for reuse */ Cmpi->product->data = ptap; Cmpi->product->destroy = MatDestroy_MPIAIJ_PtAP; Cmpi->product->view = MatView_MPIAIJ_PtAP; /* Cmpi is not ready for use - assembly will be done by MatPtAPNumeric() */ Cmpi->assembled = PETSC_FALSE; PetscFunctionReturn(0); } PetscErrorCode MatPtAPNumeric_MPIAIJ_MPIAIJ(Mat A,Mat P,Mat C) { PetscErrorCode ierr; Mat_MPIAIJ *a=(Mat_MPIAIJ*)A->data,*p=(Mat_MPIAIJ*)P->data; Mat_SeqAIJ *ad=(Mat_SeqAIJ*)(a->A)->data,*ao=(Mat_SeqAIJ*)(a->B)->data; Mat_SeqAIJ *ap,*p_loc,*p_oth=NULL,*c_seq; Mat_APMPI *ptap; Mat AP_loc,C_loc,C_oth; PetscInt i,rstart,rend,cm,ncols,row; PetscInt *api,*apj,am = A->rmap->n,j,col,apnz; PetscScalar *apa; const PetscInt *cols; const PetscScalar *vals; PetscFunctionBegin; MatCheckProduct(C,3); ptap = (Mat_APMPI*)C->product->data; if (!ptap) SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_WRONGSTATE,"PtAP cannot be computed. Missing data"); if (!ptap->AP_loc) SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_ARG_WRONGSTATE,"PtAP cannot be reused. Do not call MatProductClear()"); ierr = MatZeroEntries(C);CHKERRQ(ierr); /* 1) get R = Pd^T,Ro = Po^T */ if (ptap->reuse == MAT_REUSE_MATRIX) { ierr = MatTranspose(p->A,MAT_REUSE_MATRIX,&ptap->Rd);CHKERRQ(ierr); ierr = MatTranspose(p->B,MAT_REUSE_MATRIX,&ptap->Ro);CHKERRQ(ierr); } /* 2) get AP_loc */ AP_loc = ptap->AP_loc; ap = (Mat_SeqAIJ*)AP_loc->data; /* 2-1) get P_oth = ptap->P_oth and P_loc = ptap->P_loc */ /*-----------------------------------------------------*/ if (ptap->reuse == MAT_REUSE_MATRIX) { /* P_oth and P_loc are obtained in MatPtASymbolic() when reuse == MAT_INITIAL_MATRIX */ ierr = MatGetBrowsOfAoCols_MPIAIJ(A,P,MAT_REUSE_MATRIX,&ptap->startsj_s,&ptap->startsj_r,&ptap->bufa,&ptap->P_oth);CHKERRQ(ierr); ierr = MatMPIAIJGetLocalMat(P,MAT_REUSE_MATRIX,&ptap->P_loc);CHKERRQ(ierr); } /* 2-2) compute numeric A_loc*P - dominating part */ /* ---------------------------------------------- */ /* get data from symbolic products */ p_loc = (Mat_SeqAIJ*)(ptap->P_loc)->data; if (ptap->P_oth) { p_oth = (Mat_SeqAIJ*)(ptap->P_oth)->data; } apa = ptap->apa; api = ap->i; apj = ap->j; for (i=0; ia[j+ap->i[i]] = apa[col]; apa[col] = 0.0; } } /* We have modified the contents of local matrix AP_loc and must increase its ObjectState, since we are not doing AssemblyBegin/End on it. */ ierr = PetscObjectStateIncrease((PetscObject)AP_loc);CHKERRQ(ierr); /* 3) C_loc = Rd*AP_loc, C_oth = Ro*AP_loc */ ierr = MatProductNumeric(ptap->C_loc);CHKERRQ(ierr); ierr = MatProductNumeric(ptap->C_oth);CHKERRQ(ierr); C_loc = ptap->C_loc; C_oth = ptap->C_oth; /* add C_loc and Co to to C */ ierr = MatGetOwnershipRange(C,&rstart,&rend);CHKERRQ(ierr); /* C_loc -> C */ cm = C_loc->rmap->N; c_seq = (Mat_SeqAIJ*)C_loc->data; cols = c_seq->j; vals = c_seq->a; /* The (fast) MatSetValues_MPIAIJ_CopyFromCSRFormat function can only be used when C->was_assembled is PETSC_FALSE and */ /* when there are no off-processor parts. */ /* If was_assembled is true, then the statement aj[rowstart_diag+dnz_row] = mat_j[col] - cstart; in MatSetValues_MPIAIJ_CopyFromCSRFormat */ /* is no longer true. Then the more complex function MatSetValues_MPIAIJ() has to be used, where the column index is looked up from */ /* a table, and other, more complex stuff has to be done. */ if (C->assembled) { C->was_assembled = PETSC_TRUE; C->assembled = PETSC_FALSE; } if (C->was_assembled) { for (i=0; ii[i+1] - c_seq->i[i]; row = rstart + i; ierr = MatSetValues_MPIAIJ(C,1,&row,ncols,cols,vals,ADD_VALUES);CHKERRQ(ierr); cols += ncols; vals += ncols; } } else { ierr = MatSetValues_MPIAIJ_CopyFromCSRFormat(C,c_seq->j,c_seq->i,c_seq->a);CHKERRQ(ierr); } /* Co -> C, off-processor part */ cm = C_oth->rmap->N; c_seq = (Mat_SeqAIJ*)C_oth->data; cols = c_seq->j; vals = c_seq->a; for (i=0; ii[i+1] - c_seq->i[i]; row = p->garray[i]; ierr = MatSetValues(C,1,&row,ncols,cols,vals,ADD_VALUES);CHKERRQ(ierr); cols += ncols; vals += ncols; } ierr = MatAssemblyBegin(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(C,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ptap->reuse = MAT_REUSE_MATRIX; PetscFunctionReturn(0); } PETSC_INTERN PetscErrorCode MatProductSymbolic_PtAP_MPIAIJ_MPIAIJ(Mat C) { PetscErrorCode ierr; Mat_Product *product = C->product; Mat A=product->A,P=product->B; MatProductAlgorithm alg=product->alg; PetscReal fill=product->fill; PetscBool flg; PetscFunctionBegin; /* scalable: do R=P^T locally, then C=R*A*P */ ierr = PetscStrcmp(alg,"scalable",&flg);CHKERRQ(ierr); if (flg) { ierr = MatPtAPSymbolic_MPIAIJ_MPIAIJ_scalable(A,P,product->fill,C);CHKERRQ(ierr); C->ops->productnumeric = MatProductNumeric_PtAP; goto next; } /* nonscalable: do R=P^T locally, then C=R*A*P */ ierr = PetscStrcmp(alg,"nonscalable",&flg);CHKERRQ(ierr); if (flg) { ierr = MatPtAPSymbolic_MPIAIJ_MPIAIJ(A,P,fill,C);CHKERRQ(ierr); goto next; } /* allatonce */ ierr = PetscStrcmp(alg,"allatonce",&flg);CHKERRQ(ierr); if (flg) { ierr = MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce(A,P,fill,C);CHKERRQ(ierr); goto next; } /* allatonce_merged */ ierr = PetscStrcmp(alg,"allatonce_merged",&flg);CHKERRQ(ierr); if (flg) { ierr = MatPtAPSymbolic_MPIAIJ_MPIAIJ_allatonce_merged(A,P,fill,C);CHKERRQ(ierr); goto next; } /* backend general code */ ierr = PetscStrcmp(alg,"backend",&flg);CHKERRQ(ierr); if (flg) { ierr = MatProductSymbolic_MPIAIJBACKEND(C);CHKERRQ(ierr); PetscFunctionReturn(0); } /* hypre */ #if defined(PETSC_HAVE_HYPRE) ierr = PetscStrcmp(alg,"hypre",&flg);CHKERRQ(ierr); if (flg) { ierr = MatPtAPSymbolic_AIJ_AIJ_wHYPRE(A,P,fill,C);CHKERRQ(ierr); C->ops->productnumeric = MatProductNumeric_PtAP; PetscFunctionReturn(0); } #endif SETERRQ(PetscObjectComm((PetscObject)C),PETSC_ERR_SUP,"Mat Product Algorithm is not supported"); next: C->ops->productnumeric = MatProductNumeric_PtAP; PetscFunctionReturn(0); }