1 #if !defined(__CUSPARSEMATIMPL) 2 #define __CUSPARSEMATIMPL 3 4 #include <../src/vec/vec/impls/seq/seqcuda/cudavecimpl.h> 5 6 #if CUDA_VERSION>=4020 7 #include <cusparse_v2.h> 8 #else 9 #include <cusparse.h> 10 #endif 11 12 #include <algorithm> 13 #include <vector> 14 15 #include <thrust/device_vector.h> 16 #include <thrust/device_ptr.h> 17 #include <thrust/transform.h> 18 #include <thrust/functional.h> 19 #include <thrust/sequence.h> 20 21 #if defined(PETSC_USE_COMPLEX) 22 #if defined(PETSC_USE_REAL_SINGLE) 23 #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)) 24 #define cusparse_analysis(a,b,c,d,e,f,g,h,i) cusparseCcsrsv_analysis((a),(b),(c),(d),(e),(cuComplex*)(f),(g),(h),(i)) 25 #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)) 26 #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)) 27 #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)) 28 #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)) 29 #define cusparse_hyb2csr(a,b,c,d,e,f) cusparseChyb2csr((a),(b),(c),(cuComplex*)(d),(e),(f)) 30 cuFloatComplex ALPHA = {1.0f, 0.0f}; 31 cuFloatComplex BETA = {0.0f, 0.0f}; 32 #elif defined(PETSC_USE_REAL_DOUBLE) 33 #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)) 34 #define cusparse_analysis(a,b,c,d,e,f,g,h,i) cusparseZcsrsv_analysis((a),(b),(c),(d),(e),(cuDoubleComplex*)(f),(g),(h),(i)) 35 #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)) 36 #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)) 37 #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)) 38 #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)) 39 #define cusparse_hyb2csr(a,b,c,d,e,f) cusparseZhyb2csr((a),(b),(c),(cuDoubleComplex*)(d),(e),(f)) 40 cuDoubleComplex ALPHA = {1.0, 0.0}; 41 cuDoubleComplex BETA = {0.0, 0.0}; 42 #endif 43 #else 44 PetscScalar ALPHA = 1.0; 45 PetscScalar BETA = 0.0; 46 #if defined(PETSC_USE_REAL_SINGLE) 47 #define cusparse_solve cusparseScsrsv_solve 48 #define cusparse_analysis cusparseScsrsv_analysis 49 #define cusparse_csr_spmv cusparseScsrmv 50 #define cusparse_csr2csc cusparseScsr2csc 51 #define cusparse_hyb_spmv cusparseShybmv 52 #define cusparse_csr2hyb cusparseScsr2hyb 53 #define cusparse_hyb2csr cusparseShyb2csr 54 #elif defined(PETSC_USE_REAL_DOUBLE) 55 #define cusparse_solve cusparseDcsrsv_solve 56 #define cusparse_analysis cusparseDcsrsv_analysis 57 #define cusparse_csr_spmv cusparseDcsrmv 58 #define cusparse_csr2csc cusparseDcsr2csc 59 #define cusparse_hyb_spmv cusparseDhybmv 60 #define cusparse_csr2hyb cusparseDcsr2hyb 61 #define cusparse_hyb2csr cusparseDhyb2csr 62 #endif 63 #endif 64 65 #define THRUSTINTARRAY32 thrust::device_vector<int> 66 #define THRUSTINTARRAY thrust::device_vector<PetscInt> 67 #define THRUSTARRAY thrust::device_vector<PetscScalar> 68 69 /* A CSR matrix structure */ 70 struct CsrMatrix { 71 PetscInt num_rows; 72 PetscInt num_cols; 73 PetscInt num_entries; 74 THRUSTINTARRAY32 *row_offsets; 75 THRUSTINTARRAY32 *column_indices; 76 THRUSTARRAY *values; 77 }; 78 79 //#define CUSPMATRIXCSR32 cusp::csr_matrix<int,PetscScalar,cusp::device_memory> 80 81 /* This is struct holding the relevant data needed to a MatSolve */ 82 struct Mat_SeqAIJCUSPARSETriFactorStruct { 83 /* Data needed for triangular solve */ 84 cusparseMatDescr_t descr; 85 cusparseSolveAnalysisInfo_t solveInfo; 86 cusparseOperation_t solveOp; 87 CsrMatrix *csrMat; 88 }; 89 90 /* This is struct holding the relevant data needed to a MatMult */ 91 struct Mat_SeqAIJCUSPARSEMultStruct { 92 void *mat; /* opaque pointer to a matrix. This could be either a cusparseHybMat_t or a CsrMatrix */ 93 cusparseMatDescr_t descr; /* Data needed to describe the matrix for a multiply */ 94 THRUSTINTARRAY *cprowIndices; /* compressed row indices used in the parallel SpMV */ 95 PetscScalar *alpha; /* pointer to a device "scalar" storing the alpha parameter in the SpMV */ 96 PetscScalar *beta; /* pointer to a device "scalar" storing the beta parameter in the SpMV */ 97 }; 98 99 /* This is a larger struct holding all the triangular factors for a solve, transpose solve, and 100 any indices used in a reordering */ 101 struct Mat_SeqAIJCUSPARSETriFactors { 102 Mat_SeqAIJCUSPARSETriFactorStruct *loTriFactorPtr; /* pointer for lower triangular (factored matrix) on GPU */ 103 Mat_SeqAIJCUSPARSETriFactorStruct *upTriFactorPtr; /* pointer for upper triangular (factored matrix) on GPU */ 104 Mat_SeqAIJCUSPARSETriFactorStruct *loTriFactorPtrTranspose; /* pointer for lower triangular (factored matrix) on GPU for the transpose (useful for BiCG) */ 105 Mat_SeqAIJCUSPARSETriFactorStruct *upTriFactorPtrTranspose; /* pointer for upper triangular (factored matrix) on GPU for the transpose (useful for BiCG)*/ 106 THRUSTINTARRAY *rpermIndices; /* indices used for any reordering */ 107 THRUSTINTARRAY *cpermIndices; /* indices used for any reordering */ 108 THRUSTARRAY *workVector; 109 cusparseHandle_t handle; /* a handle to the cusparse library */ 110 PetscInt nnz; /* number of nonzeros ... need this for accurate logging between ICC and ILU */ 111 }; 112 113 /* This is a larger struct holding all the matrices for a SpMV, and SpMV Tranpose */ 114 struct Mat_SeqAIJCUSPARSE { 115 Mat_SeqAIJCUSPARSEMultStruct *mat; /* pointer to the matrix on the GPU */ 116 Mat_SeqAIJCUSPARSEMultStruct *matTranspose; /* pointer to the matrix on the GPU (for the transpose ... useful for BiCG) */ 117 THRUSTARRAY *workVector; /*pointer to a workvector to which we can copy the relevant indices of a vector we want to multiply */ 118 PetscInt nonzerorow; /* number of nonzero rows ... used in the flop calculations */ 119 MatCUSPARSEStorageFormat format; /* the storage format for the matrix on the device */ 120 cudaStream_t stream; /* a stream for the parallel SpMV ... this is not owned and should not be deleted */ 121 cusparseHandle_t handle; /* a handle to the cusparse library ... this may not be owned (if we're working in parallel i.e. multiGPUs) */ 122 PetscObjectState nonzerostate; 123 }; 124 125 PETSC_INTERN PetscErrorCode MatCUSPARSECopyToGPU(Mat); 126 PETSC_INTERN PetscErrorCode MatCUSPARSESetStream(Mat, const cudaStream_t stream); 127 PETSC_INTERN PetscErrorCode MatCUSPARSESetHandle(Mat, const cusparseHandle_t handle); 128 PETSC_INTERN PetscErrorCode MatCUSPARSEClearHandle(Mat); 129 #endif 130