Actual source code: cusparsematimpl.h

petsc-3.13.0 2020-03-29
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  4:  #include <../src/vec/vec/impls/seq/seqcuda/cudavecimpl.h>

  6: #include <cusparse_v2.h>

  8: #include <algorithm>
  9: #include <vector>

 11: #include <thrust/device_vector.h>
 12: #include <thrust/device_ptr.h>
 13: #include <thrust/device_malloc_allocator.h>
 14: #include <thrust/transform.h>
 15: #include <thrust/functional.h>
 16: #include <thrust/sequence.h>

 18: #if (CUDART_VERSION >= 10010) /* CUDA 10.1 */
 19: #define CHKERRCUSPARSE(stat) \
 20: do { \
 21:    if (PetscUnlikely(stat)) { \
 22:       const char *name  = cusparseGetErrorName(stat); \
 23:       const char *descr = cusparseGetErrorString(stat); \
 24:       SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_LIB,"cuSPARSE error %d (%s) : %s",(int)stat,name,descr); \
 25:    } \
 26: } while(0)
 27: #else
 28: #define CHKERRCUSPARSE(stat) do {if (PetscUnlikely(stat)) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_LIB,"cusparse error %d",(int)stat);} while(0)
 29: #endif

 31: #if defined(PETSC_USE_COMPLEX)
 32: #if defined(PETSC_USE_REAL_SINGLE)  
 33: #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))
 34: #define cusparse_analysis(a,b,c,d,e,f,g,h,i)         cusparseCcsrsv_analysis((a),(b),(c),(d),(e),(cuComplex*)(f),(g),(h),(i))
 35: #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))
 36: #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))
 37: #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))
 38: #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))
 39: #define cusparse_hyb2csr(a,b,c,d,e,f)                cusparseChyb2csr((a),(b),(c),(cuComplex*)(d),(e),(f))
 40: const cuFloatComplex PETSC_CUSPARSE_ONE  = {1.0f, 0.0f};
 41: const cuFloatComplex PETSC_CUSPARSE_ZERO = {0.0f, 0.0f};
 42: #elif defined(PETSC_USE_REAL_DOUBLE)
 43: #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))
 44: #define cusparse_analysis(a,b,c,d,e,f,g,h,i)         cusparseZcsrsv_analysis((a),(b),(c),(d),(e),(cuDoubleComplex*)(f),(g),(h),(i))
 45: #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))
 46: #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))
 47: #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))
 48: #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))
 49: #define cusparse_hyb2csr(a,b,c,d,e,f)                cusparseZhyb2csr((a),(b),(c),(cuDoubleComplex*)(d),(e),(f))
 50: const cuDoubleComplex PETSC_CUSPARSE_ONE  = {1.0, 0.0};
 51: const cuDoubleComplex PETSC_CUSPARSE_ZERO = {0.0, 0.0};
 52: #endif
 53: #else
 54: const PetscScalar PETSC_CUSPARSE_ONE  = 1.0;
 55: const PetscScalar PETSC_CUSPARSE_ZERO = 0.0;
 56: #if defined(PETSC_USE_REAL_SINGLE)  
 57: #define cusparse_solve    cusparseScsrsv_solve
 58: #define cusparse_analysis cusparseScsrsv_analysis
 59: #define cusparse_csr_spmv cusparseScsrmv
 60: #define cusparse_csr2csc  cusparseScsr2csc
 61: #define cusparse_hyb_spmv cusparseShybmv
 62: #define cusparse_csr2hyb  cusparseScsr2hyb
 63: #define cusparse_hyb2csr  cusparseShyb2csr
 64: #elif defined(PETSC_USE_REAL_DOUBLE)
 65: #define cusparse_solve    cusparseDcsrsv_solve
 66: #define cusparse_analysis cusparseDcsrsv_analysis
 67: #define cusparse_csr_spmv cusparseDcsrmv
 68: #define cusparse_csr2csc  cusparseDcsr2csc
 69: #define cusparse_hyb_spmv cusparseDhybmv
 70: #define cusparse_csr2hyb  cusparseDcsr2hyb
 71: #define cusparse_hyb2csr  cusparseDhyb2csr
 72: #endif
 73: #endif

 75: #define THRUSTINTARRAY32 thrust::device_vector<int>
 76: #define THRUSTINTARRAY thrust::device_vector<PetscInt>
 77: #define THRUSTARRAY thrust::device_vector<PetscScalar>

 79: /* A CSR matrix structure */
 80: struct CsrMatrix {
 81:   PetscInt         num_rows;
 82:   PetscInt         num_cols;
 83:   PetscInt         num_entries;
 84:   THRUSTINTARRAY32 *row_offsets;
 85:   THRUSTINTARRAY32 *column_indices;
 86:   THRUSTARRAY      *values;
 87: };

 89: //#define CUSPMATRIXCSR32 cusp::csr_matrix<int,PetscScalar,cusp::device_memory>

 91: /* This is struct holding the relevant data needed to a MatSolve */
 92: struct Mat_SeqAIJCUSPARSETriFactorStruct {
 93:   /* Data needed for triangular solve */
 94:   cusparseMatDescr_t          descr;
 95:   cusparseSolveAnalysisInfo_t solveInfo;
 96:   cusparseOperation_t         solveOp;
 97:   CsrMatrix                   *csrMat;
 98: };

100: /* This is struct holding the relevant data needed to a MatMult */
101: struct Mat_SeqAIJCUSPARSEMultStruct {
102:   void               *mat;  /* opaque pointer to a matrix. This could be either a cusparseHybMat_t or a CsrMatrix */
103:   cusparseMatDescr_t descr; /* Data needed to describe the matrix for a multiply */
104:   THRUSTINTARRAY     *cprowIndices;   /* compressed row indices used in the parallel SpMV */
105:   PetscScalar        *alpha; /* pointer to a device "scalar" storing the alpha parameter in the SpMV */
106:   PetscScalar        *beta_zero; /* pointer to a device "scalar" storing the beta parameter in the SpMV as zero*/
107:   PetscScalar        *beta_one; /* pointer to a device "scalar" storing the beta parameter in the SpMV as one */
108: };

110: /* This is a larger struct holding all the triangular factors for a solve, transpose solve, and
111:  any indices used in a reordering */
112: struct Mat_SeqAIJCUSPARSETriFactors {
113:   Mat_SeqAIJCUSPARSETriFactorStruct *loTriFactorPtr; /* pointer for lower triangular (factored matrix) on GPU */
114:   Mat_SeqAIJCUSPARSETriFactorStruct *upTriFactorPtr; /* pointer for upper triangular (factored matrix) on GPU */
115:   Mat_SeqAIJCUSPARSETriFactorStruct *loTriFactorPtrTranspose; /* pointer for lower triangular (factored matrix) on GPU for the transpose (useful for BiCG) */
116:   Mat_SeqAIJCUSPARSETriFactorStruct *upTriFactorPtrTranspose; /* pointer for upper triangular (factored matrix) on GPU for the transpose (useful for BiCG)*/
117:   THRUSTINTARRAY                    *rpermIndices;  /* indices used for any reordering */
118:   THRUSTINTARRAY                    *cpermIndices;  /* indices used for any reordering */
119:   THRUSTARRAY                       *workVector;
120:   cusparseHandle_t                  handle;   /* a handle to the cusparse library */
121:   PetscInt                          nnz;      /* number of nonzeros ... need this for accurate logging between ICC and ILU */
122: };

124: /* This is a larger struct holding all the matrices for a SpMV, and SpMV Tranpose */
125: struct Mat_SeqAIJCUSPARSE {
126:   Mat_SeqAIJCUSPARSEMultStruct *mat; /* pointer to the matrix on the GPU */
127:   Mat_SeqAIJCUSPARSEMultStruct *matTranspose; /* pointer to the matrix on the GPU (for the transpose ... useful for BiCG) */
128:   THRUSTARRAY                  *workVector; /*pointer to a workvector to which we can copy the relevant indices of a vector we want to multiply */
129:   THRUSTINTARRAY               *rowoffsets_gpu; /* rowoffsets on GPU in non-compressed-row format. It is used to convert CSR to CSC */
130:   PetscInt                     nonzerorow; /* number of nonzero rows ... used in the flop calculations */
131:   MatCUSPARSEStorageFormat     format;   /* the storage format for the matrix on the device */
132:   cudaStream_t                 stream;   /* a stream for the parallel SpMV ... this is not owned and should not be deleted */
133:   cusparseHandle_t             handle;   /* a handle to the cusparse library ... this may not be owned (if we're working in parallel i.e. multiGPUs) */
134:   PetscObjectState             nonzerostate;
135: };

137: PETSC_INTERN PetscErrorCode MatCUSPARSECopyToGPU(Mat);
138: PETSC_INTERN PetscErrorCode MatCUSPARSESetStream(Mat, const cudaStream_t stream);
139: PETSC_INTERN PetscErrorCode MatCUSPARSESetHandle(Mat, const cusparseHandle_t handle);
140: PETSC_INTERN PetscErrorCode MatCUSPARSEClearHandle(Mat);
141: #endif