1 #if !defined(__CUSPARSEMATIMPL) 2 #define __CUSPARSEMATIMPL 3 4 #include <petscpkg_version.h> 5 #include <petsc/private/cudavecimpl.h> 6 7 #include <cusparse_v2.h> 8 9 #include <algorithm> 10 #include <vector> 11 12 #include <thrust/device_vector.h> 13 #include <thrust/device_ptr.h> 14 #include <thrust/device_malloc_allocator.h> 15 #include <thrust/transform.h> 16 #include <thrust/functional.h> 17 #include <thrust/sequence.h> 18 19 #if (CUSPARSE_VER_MAJOR > 10 || CUSPARSE_VER_MAJOR == 10 && CUSPARSE_VER_MINOR >= 2) /* According to cuda/10.1.168 on OLCF Summit */ 20 #define CHKERRCUSPARSE(stat) \ 21 do { \ 22 if (PetscUnlikely(stat)) { \ 23 const char *name = cusparseGetErrorName(stat); \ 24 const char *descr = cusparseGetErrorString(stat); \ 25 SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_LIB,"cuSPARSE error %d (%s) : %s",(int)stat,name,descr); \ 26 } \ 27 } while (0) 28 #else 29 #define CHKERRCUSPARSE(stat) do {if (PetscUnlikely(stat)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"cusparse error %d",(int)stat);} while (0) 30 #endif 31 32 #if defined(PETSC_USE_COMPLEX) 33 #if defined(PETSC_USE_REAL_SINGLE) 34 const cuComplex PETSC_CUSPARSE_ONE = {1.0f, 0.0f}; 35 const cuComplex PETSC_CUSPARSE_ZERO = {0.0f, 0.0f}; 36 #define cusparse_solve(a,b,c,d,e,f,g,h,i,j,k) cusparseCcsrsv_solve((a),(b),(c),(cuComplex*)(d),(e),(cuComplex*)(f),(g),(h),(i),(cuComplex*)(j),(cuComplex*)(k)) 37 #define cusparse_analysis(a,b,c,d,e,f,g,h,i) cusparseCcsrsv_analysis((a),(b),(c),(d),(e),(cuComplex*)(f),(g),(h),(i)) 38 #define cusparse_csr_spmv(a,b,c,d,e,f,g,h,i,j,k,l,m) cusparseCcsrmv((a),(b),(c),(d),(e),(cuComplex*)(f),(g),(cuComplex*)(h),(i),(j),(cuComplex*)(k),(cuComplex*)(l),(cuComplex*)(m)) 39 #define cusparse_csr_spmm(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p) cusparseCcsrmm((a),(b),(c),(d),(e),(f),(cuComplex*)(g),(h),(cuComplex*)(i),(j),(k),(cuComplex*)(l),(m),(cuComplex*)(n),(cuComplex*)(o),(p)) 40 #define cusparse_csr2csc(a,b,c,d,e,f,g,h,i,j,k,l) cusparseCcsr2csc((a),(b),(c),(d),(cuComplex*)(e),(f),(g),(cuComplex*)(h),(i),(j),(k),(l)) 41 #define cusparse_hyb_spmv(a,b,c,d,e,f,g,h) cusparseChybmv((a),(b),(cuComplex*)(c),(d),(e),(cuComplex*)(f),(cuComplex*)(g),(cuComplex*)(h)) 42 #define cusparse_csr2hyb(a,b,c,d,e,f,g,h,i,j) cusparseCcsr2hyb((a),(b),(c),(d),(cuComplex*)(e),(f),(g),(h),(i),(j)) 43 #define cusparse_hyb2csr(a,b,c,d,e,f) cusparseChyb2csr((a),(b),(c),(cuComplex*)(d),(e),(f)) 44 #elif defined(PETSC_USE_REAL_DOUBLE) 45 const cuDoubleComplex PETSC_CUSPARSE_ONE = {1.0, 0.0}; 46 const cuDoubleComplex PETSC_CUSPARSE_ZERO = {0.0, 0.0}; 47 #define cusparse_solve(a,b,c,d,e,f,g,h,i,j,k) cusparseZcsrsv_solve((a),(b),(c),(cuDoubleComplex*)(d),(e),(cuDoubleComplex*)(f),(g),(h),(i),(cuDoubleComplex*)(j),(cuDoubleComplex*)(k)) 48 #define cusparse_analysis(a,b,c,d,e,f,g,h,i) cusparseZcsrsv_analysis((a),(b),(c),(d),(e),(cuDoubleComplex*)(f),(g),(h),(i)) 49 #define cusparse_csr_spmv(a,b,c,d,e,f,g,h,i,j,k,l,m) cusparseZcsrmv((a),(b),(c),(d),(e),(cuDoubleComplex*)(f),(g),(cuDoubleComplex*)(h),(i),(j),(cuDoubleComplex*)(k),(cuDoubleComplex*)(l),(cuDoubleComplex*)(m)) 50 #define cusparse_csr_spmm(a,b,c,d,e,f,g,h,i,j,k,l,m,n,o,p) cusparseZcsrmm((a),(b),(c),(d),(e),(f),(cuDoubleComplex*)(g),(h),(cuDoubleComplex*)(i),(j),(k),(cuDoubleComplex*)(l),(m),(cuDoubleComplex*)(n),(cuDoubleComplex*)(o),(p)) 51 #define cusparse_csr2csc(a,b,c,d,e,f,g,h,i,j,k,l) cusparseZcsr2csc((a),(b),(c),(d),(cuDoubleComplex*)(e),(f),(g),(cuDoubleComplex*)(h),(i),(j),(k),(l)) 52 #define cusparse_hyb_spmv(a,b,c,d,e,f,g,h) cusparseZhybmv((a),(b),(cuDoubleComplex*)(c),(d),(e),(cuDoubleComplex*)(f),(cuDoubleComplex*)(g),(cuDoubleComplex*)(h)) 53 #define cusparse_csr2hyb(a,b,c,d,e,f,g,h,i,j) cusparseZcsr2hyb((a),(b),(c),(d),(cuDoubleComplex*)(e),(f),(g),(h),(i),(j)) 54 #define cusparse_hyb2csr(a,b,c,d,e,f) cusparseZhyb2csr((a),(b),(c),(cuDoubleComplex*)(d),(e),(f)) 55 #endif 56 #else 57 const PetscScalar PETSC_CUSPARSE_ONE = 1.0; 58 const PetscScalar PETSC_CUSPARSE_ZERO = 0.0; 59 #if defined(PETSC_USE_REAL_SINGLE) 60 #define cusparse_solve cusparseScsrsv_solve 61 #define cusparse_analysis cusparseScsrsv_analysis 62 #define cusparse_csr_spmv cusparseScsrmv 63 #define cusparse_csr_spmm cusparseScsrmm 64 #define cusparse_csr2csc cusparseScsr2csc 65 #define cusparse_hyb_spmv cusparseShybmv 66 #define cusparse_csr2hyb cusparseScsr2hyb 67 #define cusparse_hyb2csr cusparseShyb2csr 68 #elif defined(PETSC_USE_REAL_DOUBLE) 69 #define cusparse_solve cusparseDcsrsv_solve 70 #define cusparse_analysis cusparseDcsrsv_analysis 71 #define cusparse_csr_spmv cusparseDcsrmv 72 #define cusparse_csr_spmm cusparseDcsrmm 73 #define cusparse_csr2csc cusparseDcsr2csc 74 #define cusparse_hyb_spmv cusparseDhybmv 75 #define cusparse_csr2hyb cusparseDcsr2hyb 76 #define cusparse_hyb2csr cusparseDhyb2csr 77 #endif 78 #endif 79 80 #define THRUSTINTARRAY32 thrust::device_vector<int> 81 #define THRUSTINTARRAY thrust::device_vector<PetscInt> 82 #define THRUSTARRAY thrust::device_vector<PetscScalar> 83 84 /* A CSR matrix structure */ 85 struct CsrMatrix { 86 PetscInt num_rows; 87 PetscInt num_cols; 88 PetscInt num_entries; 89 THRUSTINTARRAY32 *row_offsets; 90 THRUSTINTARRAY32 *column_indices; 91 THRUSTARRAY *values; 92 }; 93 94 #if PETSC_PKG_CUDA_VERSION_LT(11,0,0) 95 /* This is struct holding the relevant data needed to a MatSolve */ 96 struct Mat_SeqAIJCUSPARSETriFactorStruct { 97 /* Data needed for triangular solve */ 98 cusparseMatDescr_t descr; 99 cusparseSolveAnalysisInfo_t solveInfo; 100 cusparseOperation_t solveOp; 101 CsrMatrix *csrMat; 102 }; 103 #endif 104 105 /* This is struct holding the relevant data needed to a MatMult */ 106 struct Mat_SeqAIJCUSPARSEMultStruct { 107 void *mat; /* opaque pointer to a matrix. This could be either a cusparseHybMat_t or a CsrMatrix */ 108 cusparseMatDescr_t descr; /* Data needed to describe the matrix for a multiply */ 109 THRUSTINTARRAY *cprowIndices; /* compressed row indices used in the parallel SpMV */ 110 PetscScalar *alpha; /* pointer to a device "scalar" storing the alpha parameter in the SpMV */ 111 PetscScalar *beta_zero; /* pointer to a device "scalar" storing the beta parameter in the SpMV as zero*/ 112 PetscScalar *beta_one; /* pointer to a device "scalar" storing the beta parameter in the SpMV as one */ 113 }; 114 115 #if PETSC_PKG_CUDA_VERSION_LT(11,0,0) 116 117 /* This is a larger struct holding all the triangular factors for a solve, transpose solve, and 118 any indices used in a reordering */ 119 struct Mat_SeqAIJCUSPARSETriFactors { 120 Mat_SeqAIJCUSPARSETriFactorStruct *loTriFactorPtr; /* pointer for lower triangular (factored matrix) on GPU */ 121 Mat_SeqAIJCUSPARSETriFactorStruct *upTriFactorPtr; /* pointer for upper triangular (factored matrix) on GPU */ 122 Mat_SeqAIJCUSPARSETriFactorStruct *loTriFactorPtrTranspose; /* pointer for lower triangular (factored matrix) on GPU for the transpose (useful for BiCG) */ 123 Mat_SeqAIJCUSPARSETriFactorStruct *upTriFactorPtrTranspose; /* pointer for upper triangular (factored matrix) on GPU for the transpose (useful for BiCG)*/ 124 THRUSTINTARRAY *rpermIndices; /* indices used for any reordering */ 125 THRUSTINTARRAY *cpermIndices; /* indices used for any reordering */ 126 THRUSTARRAY *workVector; 127 cusparseHandle_t handle; /* a handle to the cusparse library */ 128 PetscInt nnz; /* number of nonzeros ... need this for accurate logging between ICC and ILU */ 129 }; 130 #endif 131 132 /* This is a larger struct holding all the matrices for a SpMV, and SpMV Tranpose */ 133 struct Mat_SeqAIJCUSPARSE { 134 Mat_SeqAIJCUSPARSEMultStruct *mat; /* pointer to the matrix on the GPU */ 135 Mat_SeqAIJCUSPARSEMultStruct *matTranspose; /* pointer to the matrix on the GPU (for the transpose ... useful for BiCG) */ 136 THRUSTARRAY *workVector; /* pointer to a workvector to which we can copy the relevant indices of a vector we want to multiply */ 137 THRUSTINTARRAY32 *rowoffsets_gpu; /* rowoffsets on GPU in non-compressed-row format. It is used to convert CSR to CSC */ 138 PetscInt nrows; /* number of rows of the matrix seen by GPU */ 139 MatCUSPARSEStorageFormat format; /* the storage format for the matrix on the device */ 140 cudaStream_t stream; /* a stream for the parallel SpMV ... this is not owned and should not be deleted */ 141 cusparseHandle_t handle; /* a handle to the cusparse library ... this may not be owned (if we're working in parallel i.e. multiGPUs) */ 142 PetscObjectState nonzerostate; /* track nonzero state to possibly recreate the GPU matrix */ 143 PetscBool transgen; /* whether or not to generate explicit transpose for MatMultTranspose operations */ 144 }; 145 146 PETSC_INTERN PetscErrorCode MatCUSPARSECopyToGPU(Mat); 147 PETSC_INTERN PetscErrorCode MatCUSPARSESetStream(Mat, const cudaStream_t stream); 148 PETSC_INTERN PetscErrorCode MatCUSPARSESetHandle(Mat, const cusparseHandle_t handle); 149 PETSC_INTERN PetscErrorCode MatCUSPARSEClearHandle(Mat); 150 #endif 151