xref: /petsc/src/mat/impls/aij/seq/kokkos/aijkok.hpp (revision 517f4e3460cd8c7e73c19b8bf533f1efe47f30a7)
1 #pragma once
2 
3 #include <petsc/private/vecimpl_kokkos.hpp>
4 #include <../src/mat/impls/aij/seq/aij.h>
5 #include <KokkosSparse_CrsMatrix.hpp>
6 #include <KokkosSparse_spiluk.hpp>
7 #include <string>
8 
9 namespace
10 {
11 PETSC_NODISCARD inline decltype(auto) NoInit(std::string label)
12 {
13   return Kokkos::view_alloc(Kokkos::WithoutInitializing, std::move(label));
14 }
15 } // namespace
16 
17 using MatRowMapType = PetscInt;
18 using MatColIdxType = PetscInt;
19 using MatScalarType = PetscScalar;
20 
21 template <class MemorySpace>
22 using KokkosCsrMatrixType = typename KokkosSparse::CrsMatrix<MatScalarType, MatColIdxType, MemorySpace, void /* MemoryTraits */, MatRowMapType>;
23 template <class MemorySpace>
24 using KokkosCsrGraphType = typename KokkosCsrMatrixType<MemorySpace>::staticcrsgraph_type;
25 
26 using KokkosCsrGraph     = KokkosCsrGraphType<DefaultMemorySpace>;
27 using KokkosCsrGraphHost = KokkosCsrGraphType<Kokkos::HostSpace>;
28 
29 using KokkosCsrMatrix     = KokkosCsrMatrixType<DefaultMemorySpace>;
30 using KokkosCsrMatrixHost = KokkosCsrMatrixType<Kokkos::HostSpace>;
31 
32 using MatRowMapKokkosView = KokkosCsrGraph::row_map_type::non_const_type;
33 using MatColIdxKokkosView = KokkosCsrGraph::entries_type::non_const_type;
34 using MatScalarKokkosView = KokkosCsrMatrix::values_type::non_const_type;
35 
36 using MatRowMapKokkosViewHost = KokkosCsrGraphHost::row_map_type::non_const_type;
37 using MatColIdxKokkosViewHost = KokkosCsrGraphHost::entries_type::non_const_type;
38 using MatScalarKokkosViewHost = KokkosCsrMatrixHost::values_type::non_const_type;
39 
40 using ConstMatRowMapKokkosView = KokkosCsrGraph::row_map_type::const_type;
41 using ConstMatColIdxKokkosView = KokkosCsrGraph::entries_type::const_type;
42 using ConstMatScalarKokkosView = KokkosCsrMatrix::values_type::const_type;
43 
44 using ConstMatRowMapKokkosViewHost = KokkosCsrGraphHost::row_map_type::const_type;
45 using ConstMatColIdxKokkosViewHost = KokkosCsrGraphHost::entries_type::const_type;
46 using ConstMatScalarKokkosViewHost = KokkosCsrMatrixHost::values_type::const_type;
47 
48 using MatRowMapKokkosDualView = Kokkos::DualView<MatRowMapType *>;
49 using MatColIdxKokkosDualView = Kokkos::DualView<MatColIdxType *>;
50 using MatScalarKokkosDualView = Kokkos::DualView<MatScalarType *>;
51 
52 using KernelHandle = KokkosKernels::Experimental::KokkosKernelsHandle<MatRowMapType, MatColIdxType, MatScalarType, DefaultExecutionSpace, DefaultMemorySpace, DefaultMemorySpace>;
53 
54 using KokkosTeamMemberType = Kokkos::TeamPolicy<DefaultExecutionSpace>::member_type;
55 
56 /* For mat->spptr of a factorized matrix */
57 struct Mat_SeqAIJKokkosTriFactors {
58   MatRowMapKokkosView   iL_d, iU_d, iLt_d, iUt_d;  /* rowmap for L, U, L^t, U^t of A=LU */
59   MatColIdxKokkosView   jL_d, jU_d, jLt_d, jUt_d;  /* column ids */
60   MatScalarKokkosView   aL_d, aU_d, aLt_d, aUt_d;  /* matrix values */
61   KernelHandle          kh, khL, khU, khLt, khUt;  /* Kernel handles for A, L, U, L^t, U^t */
62   PetscBool             transpose_updated;         /* Are L^T, U^T updated wrt L, U*/
63   PetscBool             sptrsv_symbolic_completed; /* Have we completed the symbolic solve for L and U */
64   PetscScalarKokkosView workVector;
65 
66   Mat_SeqAIJKokkosTriFactors(PetscInt n) : transpose_updated(PETSC_FALSE), sptrsv_symbolic_completed(PETSC_FALSE), workVector("workVector", n) { }
67 
68   ~Mat_SeqAIJKokkosTriFactors() { Destroy(); }
69 
70   void Destroy()
71   {
72     kh.destroy_spiluk_handle();
73     khL.destroy_sptrsv_handle();
74     khU.destroy_sptrsv_handle();
75     khLt.destroy_sptrsv_handle();
76     khUt.destroy_sptrsv_handle();
77     transpose_updated = sptrsv_symbolic_completed = PETSC_FALSE;
78   }
79 };
80 
81 /* For mat->spptr of a regular matrix */
82 struct Mat_SeqAIJKokkos {
83   MatRowMapKokkosDualView i_dual;
84   MatColIdxKokkosDualView j_dual;
85   MatScalarKokkosDualView a_dual;
86 
87   MatRowMapKokkosDualView diag_dual; /* Diagonal pointer, built on demand */
88 
89   KokkosCsrMatrix  csrmat;       /* The CSR matrix, used to call KK functions */
90   PetscObjectState nonzerostate; /* State of the nonzero pattern (graph) on device */
91 
92   KokkosCsrMatrix     csrmatT, csrmatH;                     /* Transpose and Hermitian of the matrix (built on demand) */
93   PetscBool           transpose_updated, hermitian_updated; /* Are At, Ah updated wrt the matrix? */
94   MatRowMapKokkosView transpose_perm;                       // A permutation array making Ta(i) = Aa(perm(i)), where T = A^t
95 
96   /* Construct a nrows by ncols matrix with nnz nonzeros from the given (i,j,a) on host. Caller also specifies a nonzero state */
97   Mat_SeqAIJKokkos(PetscInt nrows, PetscInt ncols, PetscInt nnz, const MatRowMapType *i, MatColIdxType *j, MatScalarType *a, PetscObjectState nzstate, PetscBool copyValues = PETSC_TRUE)
98   {
99     MatScalarKokkosViewHost a_h(a, nnz);
100     MatRowMapKokkosViewHost i_h(const_cast<MatRowMapType *>(i), nrows + 1);
101     MatColIdxKokkosViewHost j_h(j, nnz);
102 
103     auto a_d = Kokkos::create_mirror_view(Kokkos::WithoutInitializing, DefaultMemorySpace(), a_h);
104     auto i_d = Kokkos::create_mirror_view_and_copy(DefaultMemorySpace(), i_h);
105     auto j_d = Kokkos::create_mirror_view_and_copy(DefaultMemorySpace(), j_h);
106 
107     a_dual = MatScalarKokkosDualView(a_d, a_h);
108     i_dual = MatRowMapKokkosDualView(i_d, i_h);
109     j_dual = MatColIdxKokkosDualView(j_d, j_h);
110 
111     a_dual.modify_host(); /* Since caller provided values on host */
112     if (copyValues) a_dual.sync_device();
113 
114     csrmat            = KokkosCsrMatrix("csrmat", ncols, a_d, KokkosCsrGraph(j_d, i_d));
115     nonzerostate      = nzstate;
116     transpose_updated = hermitian_updated = PETSC_FALSE;
117   }
118 
119   /* Construct with a KokkosCsrMatrix. For performance, only i, j are copied to host, but not the matrix values. */
120   Mat_SeqAIJKokkos(const KokkosCsrMatrix &csr) : csrmat(csr) /* Shallow-copy csr's views to csrmat */
121   {
122     auto a_d = csr.values;
123     /* Get a non-const version since I don't want to deal with DualView<const T*>, which is not well defined */
124     MatRowMapKokkosView i_d(const_cast<MatRowMapType *>(csr.graph.row_map.data()), csr.graph.row_map.extent(0));
125     auto                j_d = csr.graph.entries;
126     auto                a_h = Kokkos::create_mirror_view(Kokkos::WithoutInitializing, Kokkos::HostSpace(), a_d);
127     auto                i_h = Kokkos::create_mirror_view_and_copy(Kokkos::HostSpace(), i_d);
128     auto                j_h = Kokkos::create_mirror_view_and_copy(Kokkos::HostSpace(), j_d);
129 
130     a_dual = MatScalarKokkosDualView(a_d, a_h);
131     a_dual.modify_device(); /* since we did not copy a_d to a_h, we mark device has the latest data */
132     i_dual = MatRowMapKokkosDualView(i_d, i_h);
133     j_dual = MatColIdxKokkosDualView(j_d, j_h);
134     Init();
135   }
136 
137   Mat_SeqAIJKokkos(PetscInt nrows, PetscInt ncols, PetscInt nnz, MatRowMapKokkosDualView &i, MatColIdxKokkosDualView &j, MatScalarKokkosDualView a) : i_dual(i), j_dual(j), a_dual(a)
138   {
139     csrmat = KokkosCsrMatrix("csrmat", nrows, ncols, nnz, a.view_device(), i.view_device(), j.view_device());
140     Init();
141   }
142 
143   MatScalarType *a_host_data() { return a_dual.view_host().data(); }
144   MatRowMapType *i_host_data() { return i_dual.view_host().data(); }
145   MatColIdxType *j_host_data() { return j_dual.view_host().data(); }
146 
147   MatScalarType *a_device_data() { return a_dual.view_device().data(); }
148   MatRowMapType *i_device_data() { return i_dual.view_device().data(); }
149   MatColIdxType *j_device_data() { return j_dual.view_device().data(); }
150 
151   MatColIdxType nrows() { return csrmat.numRows(); }
152   MatColIdxType ncols() { return csrmat.numCols(); }
153   MatRowMapType nnz() { return csrmat.nnz(); }
154 
155   /* Change the csrmat size to n */
156   void SetColSize(MatColIdxType n) { csrmat = KokkosCsrMatrix("csrmat", n, a_dual.view_device(), csrmat.graph); }
157 
158   void SetDiagonal(const MatRowMapType *diag)
159   {
160     MatRowMapKokkosViewHost diag_h(const_cast<MatRowMapType *>(diag), nrows());
161     auto                    diag_d = Kokkos::create_mirror_view_and_copy(DefaultMemorySpace(), diag_h);
162     diag_dual                      = MatRowMapKokkosDualView(diag_d, diag_h);
163   }
164 
165   /* Shared init stuff */
166   void Init(void)
167   {
168     transpose_updated = hermitian_updated = PETSC_FALSE;
169     nonzerostate                          = 0;
170   }
171 
172   PetscErrorCode DestroyMatTranspose(void)
173   {
174     PetscFunctionBegin;
175     csrmatT = KokkosCsrMatrix(); /* Overwrite with empty matrices */
176     csrmatH = KokkosCsrMatrix();
177     PetscFunctionReturn(PETSC_SUCCESS);
178   }
179 };
180 
181 struct MatProductData_SeqAIJKokkos {
182   KernelHandle kh;
183   PetscBool    reusesym;
184   MatProductData_SeqAIJKokkos() : reusesym(PETSC_FALSE) { }
185 };
186 
187 PETSC_INTERN PetscErrorCode MatSetSeqAIJKokkosWithCSRMatrix(Mat, Mat_SeqAIJKokkos *);
188 PETSC_INTERN PetscErrorCode MatCreateSeqAIJKokkosWithCSRMatrix(MPI_Comm, Mat_SeqAIJKokkos *, Mat *);
189 PETSC_INTERN PetscErrorCode MatSeqAIJKokkosMergeMats(Mat, Mat, MatReuse, Mat *);
190 PETSC_INTERN PetscErrorCode MatSeqAIJKokkosSyncDevice(Mat);
191 PETSC_INTERN PetscErrorCode MatSeqAIJKokkosGetKokkosCsrMatrix(Mat, KokkosCsrMatrix *);
192 PETSC_INTERN PetscErrorCode MatCreateSeqAIJKokkosWithKokkosCsrMatrix(MPI_Comm, KokkosCsrMatrix, Mat *);
193 PETSC_INTERN PetscErrorCode PrintCsrMatrix(const KokkosCsrMatrix &csrmat);
194 PETSC_INTERN PetscErrorCode MatConvert_SeqAIJ_SeqAIJKokkos(Mat, MatType, MatReuse, Mat *);
195 PETSC_INTERN PetscErrorCode MatSeqAIJKokkosModifyDevice(Mat);
196 PETSC_INTERN PetscErrorCode MatSeqAIJKokkosGenerateTranspose_Private(Mat, KokkosCsrMatrix *);
197 
198 PETSC_INTERN PetscErrorCode MatSeqAIJGetKokkosView(Mat, MatScalarKokkosView *);
199 PETSC_INTERN PetscErrorCode MatSeqAIJRestoreKokkosView(Mat, MatScalarKokkosView *);
200 PETSC_INTERN PetscErrorCode MatSeqAIJGetKokkosViewWrite(Mat, MatScalarKokkosView *);
201 PETSC_INTERN PetscErrorCode MatSeqAIJRestoreKokkosViewWrite(Mat, MatScalarKokkosView *);
202 PETSC_INTERN PetscErrorCode MatInvertVariableBlockDiagonal_SeqAIJKokkos(Mat, const PetscIntKokkosView &, const PetscIntKokkosView &, const PetscIntKokkosView &, PetscScalarKokkosView &, PetscScalarKokkosView &);
203