1 #ifndef __SEQAIJKOKKOSIMPL_HPP 2 #define __SEQAIJKOKKOSIMPL_HPP 3 4 #include <petscaijdevice.h> 5 #include <petsc/private/vecimpl_kokkos.hpp> 6 #include <../src/mat/impls/aij/seq/aij.h> 7 #include <KokkosSparse_CrsMatrix.hpp> 8 #include <KokkosSparse_spiluk.hpp> 9 10 /* 11 Kokkos::View<struct _n_SplitCSRMat,DefaultMemorySpace> is not handled correctly so we define SplitCSRMat 12 for the singular purpose of working around this. 13 */ 14 typedef struct _n_SplitCSRMat SplitCSRMat; 15 16 using MatRowMapType = PetscInt; 17 using MatColIdxType = PetscInt; 18 using MatScalarType = PetscScalar; 19 20 template <class MemorySpace> 21 using KokkosCsrMatrixType = typename KokkosSparse::CrsMatrix<MatScalarType, MatColIdxType, MemorySpace, void /* MemoryTraits */, MatRowMapType>; 22 template <class MemorySpace> 23 using KokkosCsrGraphType = typename KokkosCsrMatrixType<MemorySpace>::staticcrsgraph_type; 24 25 using KokkosCsrGraph = KokkosCsrGraphType<DefaultMemorySpace>; 26 using KokkosCsrGraphHost = KokkosCsrGraphType<Kokkos::HostSpace>; 27 28 using KokkosCsrMatrix = KokkosCsrMatrixType<DefaultMemorySpace>; 29 using KokkosCsrMatrixHost = KokkosCsrMatrixType<Kokkos::HostSpace>; 30 31 using MatRowMapKokkosView = KokkosCsrGraph::row_map_type::non_const_type; 32 using MatColIdxKokkosView = KokkosCsrGraph::entries_type::non_const_type; 33 using MatScalarKokkosView = KokkosCsrMatrix::values_type::non_const_type; 34 35 using MatRowMapKokkosViewHost = KokkosCsrGraphHost::row_map_type::non_const_type; 36 using MatColIdxKokkosViewHost = KokkosCsrGraphHost::entries_type::non_const_type; 37 using MatScalarKokkosViewHost = KokkosCsrMatrixHost::values_type::non_const_type; 38 39 using ConstMatRowMapKokkosView = KokkosCsrGraph::row_map_type::const_type; 40 using ConstMatColIdxKokkosView = KokkosCsrGraph::entries_type::const_type; 41 using ConstMatScalarKokkosView = KokkosCsrMatrix::values_type::const_type; 42 43 using ConstMatRowMapKokkosViewHost = KokkosCsrGraphHost::row_map_type::const_type; 44 using ConstMatColIdxKokkosViewHost = KokkosCsrGraphHost::entries_type::const_type; 45 using ConstMatScalarKokkosViewHost = KokkosCsrMatrixHost::values_type::const_type; 46 47 using MatRowMapKokkosDualView = Kokkos::DualView<MatRowMapType *>; 48 using MatColIdxKokkosDualView = Kokkos::DualView<MatColIdxType *>; 49 using MatScalarKokkosDualView = Kokkos::DualView<MatScalarType *>; 50 51 using KernelHandle = KokkosKernels::Experimental::KokkosKernelsHandle<MatRowMapType, MatColIdxType, MatScalarType, DefaultExecutionSpace, DefaultMemorySpace, DefaultMemorySpace>; 52 53 using KokkosTeamMemberType = Kokkos::TeamPolicy<DefaultExecutionSpace>::member_type; 54 55 /* For mat->spptr of a factorized matrix */ 56 struct Mat_SeqAIJKokkosTriFactors { 57 MatRowMapKokkosView iL_d, iU_d, iLt_d, iUt_d; /* rowmap for L, U, L^t, U^t of A=LU */ 58 MatColIdxKokkosView jL_d, jU_d, jLt_d, jUt_d; /* column ids */ 59 MatScalarKokkosView aL_d, aU_d, aLt_d, aUt_d; /* matrix values */ 60 KernelHandle kh, khL, khU, khLt, khUt; /* Kernel handles for A, L, U, L^t, U^t */ 61 PetscBool transpose_updated; /* Are L^T, U^T updated wrt L, U*/ 62 PetscBool sptrsv_symbolic_completed; /* Have we completed the symbolic solve for L and U */ 63 PetscScalarKokkosView workVector; 64 65 Mat_SeqAIJKokkosTriFactors(PetscInt n) : transpose_updated(PETSC_FALSE), sptrsv_symbolic_completed(PETSC_FALSE), workVector("workVector", n) { } 66 67 ~Mat_SeqAIJKokkosTriFactors() { Destroy(); } 68 69 void Destroy() { 70 kh.destroy_spiluk_handle(); 71 khL.destroy_sptrsv_handle(); 72 khU.destroy_sptrsv_handle(); 73 khLt.destroy_sptrsv_handle(); 74 khUt.destroy_sptrsv_handle(); 75 transpose_updated = sptrsv_symbolic_completed = PETSC_FALSE; 76 } 77 }; 78 79 /* For mat->spptr of a regular matrix */ 80 struct Mat_SeqAIJKokkos { 81 MatRowMapKokkosDualView i_dual; 82 MatColIdxKokkosDualView j_dual; 83 MatScalarKokkosDualView a_dual; 84 85 MatRowMapKokkosDualView diag_dual; /* Diagonal pointer, built on demand */ 86 87 KokkosCsrMatrix csrmat; /* The CSR matrix, used to call KK functions */ 88 PetscObjectState nonzerostate; /* State of the nonzero pattern (graph) on device */ 89 90 KokkosCsrMatrix csrmatT, csrmatH; /* Transpose and Hermitian of the matrix (built on demand) */ 91 PetscBool transpose_updated, hermitian_updated; /* Are At, Ah updated wrt the matrix? */ 92 93 /* COO stuff */ 94 PetscCountKokkosView jmap_d; /* perm[disp+jmap[i]..disp+jmap[i+1]) gives indices of entries in v[] associated with i-th nonzero of the matrix */ 95 PetscCountKokkosView perm_d; /* The permutation array in sorting (i,j) by row and then by col */ 96 97 Kokkos::View<PetscInt *> i_uncompressed_d; 98 Kokkos::View<PetscInt *> colmap_d; // ugh, this is a parallel construct 99 Kokkos::View<SplitCSRMat, DefaultMemorySpace> device_mat_d; 100 Kokkos::View<PetscInt *> diag_d; // factorizations 101 102 /* Construct a nrows by ncols matrix with nnz nonzeros from the given (i,j,a) on host. Caller also specifies a nonzero state */ 103 Mat_SeqAIJKokkos(PetscInt nrows, PetscInt ncols, PetscInt nnz, const MatRowMapType *i, MatColIdxType *j, MatScalarType *a, PetscObjectState nzstate, PetscBool copyValues = PETSC_TRUE) { 104 MatScalarKokkosViewHost a_h(a, nnz); 105 MatRowMapKokkosViewHost i_h(const_cast<MatRowMapType *>(i), nrows + 1); 106 MatColIdxKokkosViewHost j_h(j, nnz); 107 108 auto a_d = Kokkos::create_mirror_view(DefaultMemorySpace(), a_h); 109 auto i_d = Kokkos::create_mirror_view_and_copy(DefaultMemorySpace(), i_h); 110 auto j_d = Kokkos::create_mirror_view_and_copy(DefaultMemorySpace(), j_h); 111 112 a_dual = MatScalarKokkosDualView(a_d, a_h); 113 i_dual = MatRowMapKokkosDualView(i_d, i_h); 114 j_dual = MatColIdxKokkosDualView(j_d, j_h); 115 116 a_dual.modify_host(); /* Since caller provided values on host */ 117 if (copyValues) a_dual.sync_device(); 118 119 csrmat = KokkosCsrMatrix("csrmat", ncols, a_d, KokkosCsrGraph(j_d, i_d)); 120 nonzerostate = nzstate; 121 transpose_updated = hermitian_updated = PETSC_FALSE; 122 } 123 124 /* Construct with a KokkosCsrMatrix. For performance, only i, j are copied to host, but not the matrix values. */ 125 Mat_SeqAIJKokkos(const KokkosCsrMatrix &csr) : 126 csrmat(csr) /* Shallow-copy csr's views to csrmat */ 127 { 128 auto a_d = csr.values; 129 /* Get a non-const version since I don't want to deal with DualView<const T*>, which is not well defined */ 130 MatRowMapKokkosView i_d(const_cast<MatRowMapType *>(csr.graph.row_map.data()), csr.graph.row_map.extent(0)); 131 auto j_d = csr.graph.entries; 132 auto a_h = Kokkos::create_mirror_view(Kokkos::HostSpace(), a_d); 133 auto i_h = Kokkos::create_mirror_view_and_copy(Kokkos::HostSpace(), i_d); 134 auto j_h = Kokkos::create_mirror_view_and_copy(Kokkos::HostSpace(), j_d); 135 136 a_dual = MatScalarKokkosDualView(a_d, a_h); 137 a_dual.modify_device(); /* since we did not copy a_d to a_h, we mark device has the latest data */ 138 i_dual = MatRowMapKokkosDualView(i_d, i_h); 139 j_dual = MatColIdxKokkosDualView(j_d, j_h); 140 Init(); 141 } 142 143 Mat_SeqAIJKokkos(PetscInt nrows, PetscInt ncols, PetscInt nnz, MatRowMapKokkosDualView &i, MatColIdxKokkosDualView &j, MatScalarKokkosDualView a) : i_dual(i), j_dual(j), a_dual(a) { 144 csrmat = KokkosCsrMatrix("csrmat", nrows, ncols, nnz, a.view_device(), i.view_device(), j.view_device()); 145 Init(); 146 } 147 148 MatScalarType *a_host_data() { return a_dual.view_host().data(); } 149 MatRowMapType *i_host_data() { return i_dual.view_host().data(); } 150 MatColIdxType *j_host_data() { return j_dual.view_host().data(); } 151 152 MatScalarType *a_device_data() { return a_dual.view_device().data(); } 153 MatRowMapType *i_device_data() { return i_dual.view_device().data(); } 154 MatColIdxType *j_device_data() { return j_dual.view_device().data(); } 155 156 MatColIdxType nrows() { return csrmat.numRows(); } 157 MatColIdxType ncols() { return csrmat.numCols(); } 158 MatRowMapType nnz() { return csrmat.nnz(); } 159 160 /* Change the csrmat size to n */ 161 void SetColSize(MatColIdxType n) { csrmat = KokkosCsrMatrix("csrmat", n, a_dual.view_device(), csrmat.graph); } 162 163 void SetUpCOO(const Mat_SeqAIJ *aij) { 164 jmap_d = Kokkos::create_mirror_view_and_copy(DefaultMemorySpace(), PetscCountKokkosViewHost(aij->jmap, aij->nz + 1)); 165 perm_d = Kokkos::create_mirror_view_and_copy(DefaultMemorySpace(), PetscCountKokkosViewHost(aij->perm, aij->Atot)); 166 } 167 168 void SetDiagonal(const MatRowMapType *diag) { 169 MatRowMapKokkosViewHost diag_h(const_cast<MatRowMapType *>(diag), nrows()); 170 auto diag_d = Kokkos::create_mirror_view_and_copy(DefaultMemorySpace(), diag_h); 171 diag_dual = MatRowMapKokkosDualView(diag_d, diag_h); 172 } 173 174 /* Shared init stuff */ 175 void Init(void) { 176 transpose_updated = hermitian_updated = PETSC_FALSE; 177 nonzerostate = 0; 178 } 179 180 PetscErrorCode DestroyMatTranspose(void) { 181 PetscFunctionBegin; 182 csrmatT = KokkosCsrMatrix(); /* Overwrite with empty matrices */ 183 csrmatH = KokkosCsrMatrix(); 184 PetscFunctionReturn(0); 185 } 186 }; 187 188 struct MatProductData_SeqAIJKokkos { 189 KernelHandle kh; 190 PetscBool reusesym; 191 MatProductData_SeqAIJKokkos() : reusesym(PETSC_FALSE) { } 192 }; 193 194 PETSC_INTERN PetscErrorCode MatSetSeqAIJKokkosWithCSRMatrix(Mat, Mat_SeqAIJKokkos *); 195 PETSC_INTERN PetscErrorCode MatCreateSeqAIJKokkosWithCSRMatrix(MPI_Comm, Mat_SeqAIJKokkos *, Mat *); 196 PETSC_INTERN PetscErrorCode MatSeqAIJKokkosMergeMats(Mat, Mat, MatReuse, Mat *); 197 PETSC_INTERN PetscErrorCode MatSeqAIJKokkosSyncDevice(Mat); 198 PETSC_INTERN PetscErrorCode PrintCsrMatrix(const KokkosCsrMatrix &csrmat); 199 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJKokkos(Mat, MatType, MatReuse, Mat *); 200 PETSC_INTERN PetscErrorCode MatSeqAIJKokkosModifyDevice(Mat); 201 202 PETSC_INTERN PetscErrorCode MatSeqAIJGetKokkosView(Mat, MatScalarKokkosView *); 203 PETSC_INTERN PetscErrorCode MatSeqAIJRestoreKokkosView(Mat, MatScalarKokkosView *); 204 PETSC_INTERN PetscErrorCode MatSeqAIJGetKokkosViewWrite(Mat, MatScalarKokkosView *); 205 PETSC_INTERN PetscErrorCode MatSeqAIJRestoreKokkosViewWrite(Mat, MatScalarKokkosView *); 206 #endif 207