Actual source code: hipsparsematimpl.h
1: /* Portions of this code are under:
2: Copyright (c) 2022 Advanced Micro Devices, Inc. All rights reserved.
3: */
4: #if !defined(HIPSPARSEMATIMPL)
5: #define HIPSPARSEMATIMPL
7: #include <petscpkg_version.h>
8: #include <petsc/private/hipvecimpl.h>
9: #include <petscaijdevice.h>
11: #if PETSC_PKG_HIP_VERSION_GE(5, 2, 0)
12: #include <hipsparse/hipsparse.h>
13: #else /* PETSC_PKG_HIP_VERSION_GE(5,2,0) */
14: #include <hipsparse.h>
15: #endif /* PETSC_PKG_HIP_VERSION_GE(5,2,0) */
16: #include "hip/hip_runtime.h"
18: #include <algorithm>
19: #include <vector>
21: #include <thrust/device_vector.h>
22: #include <thrust/device_ptr.h>
23: #include <thrust/device_malloc_allocator.h>
24: #include <thrust/transform.h>
25: #include <thrust/functional.h>
26: #include <thrust/sequence.h>
27: #include <thrust/system/system_error.h>
29: #define PetscCallThrust(body) \
30: do { \
31: try { \
32: body; \
33: } catch (thrust::system_error & e) { \
34: SETERRQ(PETSC_COMM_SELF, PETSC_ERR_LIB, "Error in Thrust %s", e.what()); \
35: } \
36: } while (0)
38: #if defined(PETSC_USE_COMPLEX)
39: #if defined(PETSC_USE_REAL_SINGLE)
40: const hipComplex PETSC_HIPSPARSE_ONE = {1.0f, 0.0f};
41: const hipComplex PETSC_HIPSPARSE_ZERO = {0.0f, 0.0f};
42: #define hipsparseXcsrilu02_bufferSize(a, b, c, d, e, f, g, h, i) hipsparseCcsrilu02_bufferSize(a, b, c, d, (hipComplex *)e, f, g, h, i)
43: #define hipsparseXcsrilu02_analysis(a, b, c, d, e, f, g, h, i, j) hipsparseCcsrilu02_analysis(a, b, c, d, (hipComplex *)e, f, g, h, i, j)
44: #define hipsparseXcsrilu02(a, b, c, d, e, f, g, h, i, j) hipsparseCcsrilu02(a, b, c, d, (hipComplex *)e, f, g, h, i, j)
45: #define hipsparseXcsric02_bufferSize(a, b, c, d, e, f, g, h, i) hipsparseCcsric02_bufferSize(a, b, c, d, (hipComplex *)e, f, g, h, i)
46: #define hipsparseXcsric02_analysis(a, b, c, d, e, f, g, h, i, j) hipsparseCcsric02_analysis(a, b, c, d, (hipComplex *)e, f, g, h, i, j)
47: #define hipsparseXcsric02(a, b, c, d, e, f, g, h, i, j) hipsparseCcsric02(a, b, c, d, (hipComplex *)e, f, g, h, i, j)
48: #elif defined(PETSC_USE_REAL_DOUBLE)
49: const hipDoubleComplex PETSC_HIPSPARSE_ONE = {1.0, 0.0};
50: const hipDoubleComplex PETSC_HIPSPARSE_ZERO = {0.0, 0.0};
51: #define hipsparseXcsrilu02_bufferSize(a, b, c, d, e, f, g, h, i) hipsparseZcsrilu02_bufferSize(a, b, c, d, (hipDoubleComplex *)e, f, g, h, i)
52: #define hipsparseXcsrilu02_analysis(a, b, c, d, e, f, g, h, i, j) hipsparseZcsrilu02_analysis(a, b, c, d, (hipDoubleComplex *)e, f, g, h, i, j)
53: #define hipsparseXcsrilu02(a, b, c, d, e, f, g, h, i, j) hipsparseZcsrilu02(a, b, c, d, (hipDoubleComplex *)e, f, g, h, i, j)
54: #define hipsparseXcsric02_bufferSize(a, b, c, d, e, f, g, h, i) hipsparseZcsric02_bufferSize(a, b, c, d, (hipDoubleComplex *)e, f, g, h, i)
55: #define hipsparseXcsric02_analysis(a, b, c, d, e, f, g, h, i, j) hipsparseZcsric02_analysis(a, b, c, d, (hipDoubleComplex *)e, f, g, h, i, j)
56: #define hipsparseXcsric02(a, b, c, d, e, f, g, h, i, j) hipsparseZcsric02(a, b, c, d, (hipDoubleComplex *)e, f, g, h, i, j)
57: #endif /* Single or double */
58: #else /* not complex */
59: const PetscScalar PETSC_HIPSPARSE_ONE = 1.0;
60: const PetscScalar PETSC_HIPSPARSE_ZERO = 0.0;
61: #if defined(PETSC_USE_REAL_SINGLE)
62: #define hipsparseXcsrilu02_bufferSize hipsparseScsrilu02_bufferSize
63: #define hipsparseXcsrilu02_analysis hipsparseScsrilu02_analysis
64: #define hipsparseXcsrilu02 hipsparseScsrilu02
65: #define hipsparseXcsric02_bufferSize hipsparseScsric02_bufferSize
66: #define hipsparseXcsric02_analysis hipsparseScsric02_analysis
67: #define hipsparseXcsric02 hipsparseScsric02
68: #elif defined(PETSC_USE_REAL_DOUBLE)
69: #define hipsparseXcsrilu02_bufferSize hipsparseDcsrilu02_bufferSize
70: #define hipsparseXcsrilu02_analysis hipsparseDcsrilu02_analysis
71: #define hipsparseXcsrilu02 hipsparseDcsrilu02
72: #define hipsparseXcsric02_bufferSize hipsparseDcsric02_bufferSize
73: #define hipsparseXcsric02_analysis hipsparseDcsric02_analysis
74: #define hipsparseXcsric02 hipsparseDcsric02
75: #endif /* Single or double */
76: #endif /* complex or not */
78: #define csrsvInfo_t csrsv2Info_t
79: #define hipsparseCreateCsrsvInfo hipsparseCreateCsrsv2Info
80: #define hipsparseDestroyCsrsvInfo hipsparseDestroyCsrsv2Info
81: #if defined(PETSC_USE_COMPLEX)
82: #if defined(PETSC_USE_REAL_SINGLE)
83: #define hipsparseXcsrsv_buffsize(a, b, c, d, e, f, g, h, i, j) hipsparseCcsrsv2_bufferSize(a, b, c, d, e, (hipComplex *)(f), g, h, i, j)
84: #define hipsparseXcsrsv_analysis(a, b, c, d, e, f, g, h, i, j, k) hipsparseCcsrsv2_analysis(a, b, c, d, e, (const hipComplex *)(f), g, h, i, j, k)
85: #define hipsparseXcsrsv_solve(a, b, c, d, e, f, g, h, i, j, k, l, m, n) hipsparseCcsrsv2_solve(a, b, c, d, (const hipComplex *)(e), f, (const hipComplex *)(g), h, i, j, (const hipComplex *)(k), (hipComplex *)(l), m, n)
86: #elif defined(PETSC_USE_REAL_DOUBLE)
87: #define hipsparseXcsrsv_buffsize(a, b, c, d, e, f, g, h, i, j) hipsparseZcsrsv2_bufferSize(a, b, c, d, e, (hipDoubleComplex *)(f), g, h, i, j)
88: #define hipsparseXcsrsv_analysis(a, b, c, d, e, f, g, h, i, j, k) hipsparseZcsrsv2_analysis(a, b, c, d, e, (const hipDoubleComplex *)(f), g, h, i, j, k)
89: #define hipsparseXcsrsv_solve(a, b, c, d, e, f, g, h, i, j, k, l, m, n) hipsparseZcsrsv2_solve(a, b, c, d, (const hipDoubleComplex *)(e), f, (const hipDoubleComplex *)(g), h, i, j, (const hipDoubleComplex *)(k), (hipDoubleComplex *)(l), m, n)
90: #endif /* Single or double */
91: #else /* not complex */
92: #if defined(PETSC_USE_REAL_SINGLE)
93: #define hipsparseXcsrsv_buffsize hipsparseScsrsv2_bufferSize
94: #define hipsparseXcsrsv_analysis hipsparseScsrsv2_analysis
95: #define hipsparseXcsrsv_solve hipsparseScsrsv2_solve
96: #elif defined(PETSC_USE_REAL_DOUBLE)
97: #define hipsparseXcsrsv_buffsize hipsparseDcsrsv2_bufferSize
98: #define hipsparseXcsrsv_analysis hipsparseDcsrsv2_analysis
99: #define hipsparseXcsrsv_solve hipsparseDcsrsv2_solve
100: #endif /* Single or double */
101: #endif /* not complex */
103: #if PETSC_PKG_HIP_VERSION_GE(4, 5, 0)
104: // #define cusparse_csr2csc cusparseCsr2cscEx2
105: #if defined(PETSC_USE_COMPLEX)
106: #if defined(PETSC_USE_REAL_SINGLE)
107: #define hipsparse_scalartype HIP_C_32F
108: #define hipsparse_csr_spgeam(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t) hipsparseCcsrgeam2(a, b, c, (hipComplex *)d, e, f, (hipComplex *)g, h, i, (hipComplex *)j, k, l, (hipComplex *)m, n, o, p, (hipComplex *)q, r, s, t)
109: #define hipsparse_csr_spgeam_bufferSize(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t) \
110: hipsparseCcsrgeam2_bufferSizeExt(a, b, c, (hipComplex *)d, e, f, (hipComplex *)g, h, i, (hipComplex *)j, k, l, (hipComplex *)m, n, o, p, (hipComplex *)q, r, s, t)
111: #elif defined(PETSC_USE_REAL_DOUBLE)
112: #define hipsparse_scalartype HIP_C_64F
113: #define hipsparse_csr_spgeam(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t) \
114: hipsparseZcsrgeam2(a, b, c, (hipDoubleComplex *)d, e, f, (hipDoubleComplex *)g, h, i, (hipDoubleComplex *)j, k, l, (hipDoubleComplex *)m, n, o, p, (hipDoubleComplex *)q, r, s, t)
115: #define hipsparse_csr_spgeam_bufferSize(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t) \
116: hipsparseZcsrgeam2_bufferSizeExt(a, b, c, (hipDoubleComplex *)d, e, f, (hipDoubleComplex *)g, h, i, (hipDoubleComplex *)j, k, l, (hipDoubleComplex *)m, n, o, p, (hipDoubleComplex *)q, r, s, t)
117: #endif /* Single or double */
118: #else /* not complex */
119: #if defined(PETSC_USE_REAL_SINGLE)
120: #define hipsparse_scalartype HIP_R_32F
121: #define hipsparse_csr_spgeam hipsparseScsrgeam2
122: #define hipsparse_csr_spgeam_bufferSize hipsparseScsrgeam2_bufferSizeExt
123: #elif defined(PETSC_USE_REAL_DOUBLE)
124: #define hipsparse_scalartype HIP_R_64F
125: #define hipsparse_csr_spgeam hipsparseDcsrgeam2
126: #define hipsparse_csr_spgeam_bufferSize hipsparseDcsrgeam2_bufferSizeExt
127: #endif /* Single or double */
128: #endif /* complex or not */
129: #endif /* PETSC_PKG_HIP_VERSION_GE(4, 5, 0) */
131: #if defined(PETSC_USE_COMPLEX)
132: #if defined(PETSC_USE_REAL_SINGLE)
133: #define hipsparse_scalartype HIP_C_32F
134: #define hipsparse_csr_spmv(a, b, c, d, e, f, g, h, i, j, k, l, m) hipsparseCcsrmv((a), (b), (c), (d), (e), (hipComplex *)(f), (g), (hipComplex *)(h), (i), (j), (hipComplex *)(k), (hipComplex *)(l), (hipComplex *)(m))
135: #define hipsparse_csr_spmm(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p) hipsparseCcsrmm((a), (b), (c), (d), (e), (f), (hipComplex *)(g), (h), (hipComplex *)(i), (j), (k), (hipComplex *)(l), (m), (hipComplex *)(n), (hipComplex *)(o), (p))
136: #define hipsparse_csr2csc(a, b, c, d, e, f, g, h, i, j, k, l) hipsparseCcsr2csc((a), (b), (c), (d), (hipComplex *)(e), (f), (g), (hipComplex *)(h), (i), (j), (k), (l))
137: #define hipsparse_hyb_spmv(a, b, c, d, e, f, g, h) hipsparseChybmv((a), (b), (hipComplex *)(c), (d), (e), (hipComplex *)(f), (hipComplex *)(g), (hipComplex *)(h))
138: #define hipsparse_csr2hyb(a, b, c, d, e, f, g, h, i, j) hipsparseCcsr2hyb((a), (b), (c), (d), (hipComplex *)(e), (f), (g), (h), (i), (j))
139: #define hipsparse_hyb2csr(a, b, c, d, e, f) hipsparseChyb2csr((a), (b), (c), (hipComplex *)(d), (e), (f))
140: #define hipsparse_csr_spgemm(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t) hipsparseCcsrgemm(a, b, c, d, e, f, g, h, (hipComplex *)i, j, k, l, m, (hipComplex *)n, o, p, q, (hipComplex *)r, s, t)
141: // #define hipsparse_csr_spgeam(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s) hipsparseCcsrgeam(a, b, c, (hipComplex *)d, e, f, (hipComplex *)g, h, i, (hipComplex *)j, k, l, (hipComplex *)m, n, o, p, (hipComplex *)q, r, s)
142: #elif defined(PETSC_USE_REAL_DOUBLE)
143: #define hipsparse_scalartype HIP_C_64F
144: #define hipsparse_csr_spmv(a, b, c, d, e, f, g, h, i, j, k, l, m) \
145: hipsparseZcsrmv((a), (b), (c), (d), (e), (hipDoubleComplex *)(f), (g), (hipDoubleComplex *)(h), (i), (j), (hipDoubleComplex *)(k), (hipDoubleComplex *)(l), (hipDoubleComplex *)(m))
146: #define hipsparse_csr_spmm(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p) \
147: hipsparseZcsrmm((a), (b), (c), (d), (e), (f), (hipDoubleComplex *)(g), (h), (hipDoubleComplex *)(i), (j), (k), (hipDoubleComplex *)(l), (m), (hipDoubleComplex *)(n), (hipDoubleComplex *)(o), (p))
148: #define hipsparse_csr2csc(a, b, c, d, e, f, g, h, i, j, k, l) hipsparseZcsr2csc((a), (b), (c), (d), (hipDoubleComplex *)(e), (f), (g), (hipDoubleComplex *)(h), (i), (j), (k), (l))
149: #define hipsparse_hyb_spmv(a, b, c, d, e, f, g, h) hipsparseZhybmv((a), (b), (hipDoubleComplex *)(c), (d), (e), (hipDoubleComplex *)(f), (hipDoubleComplex *)(g), (hipDoubleComplex *)(h))
150: #define hipsparse_csr2hyb(a, b, c, d, e, f, g, h, i, j) hipsparseZcsr2hyb((a), (b), (c), (d), (hipDoubleComplex *)(e), (f), (g), (h), (i), (j))
151: #define hipsparse_hyb2csr(a, b, c, d, e, f) hipsparseZhyb2csr((a), (b), (c), (hipDoubleComplex *)(d), (e), (f))
152: #define hipsparse_csr_spgemm(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t) hipsparseZcsrgemm(a, b, c, d, e, f, g, h, (hipDoubleComplex *)i, j, k, l, m, (hipDoubleComplex *)n, o, p, q, (hipDoubleComplex *)r, s, t)
153: // #define hipsparse_csr_spgeam(a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s) hipsparseZcsrgeam(a, b, c, (hipDoubleComplex *)d, e, f, (hipDoubleComplex *)g, h, i, (hipDoubleComplex *)j, k, l, (hipDoubleComplex *)m, n, o, p, (hipDoubleComplex *)q, r, s)
154: #endif /* Single or double */
155: #else /* not complex */
156: #if defined(PETSC_USE_REAL_SINGLE)
157: #define hipsparse_scalartype HIP_R_32F
158: #define hipsparse_csr_spmv hipsparseScsrmv
159: #define hipsparse_csr_spmm hipsparseScsrmm
160: #define hipsparse_csr2csc hipsparseScsr2csc
161: #define hipsparse_hyb_spmv hipsparseShybmv
162: #define hipsparse_csr2hyb hipsparseScsr2hyb
163: #define hipsparse_hyb2csr hipsparseShyb2csr
164: #define hipsparse_csr_spgemm hipsparseScsrgemm
165: // #define hipsparse_csr_spgeam hipsparseScsrgeam
166: #elif defined(PETSC_USE_REAL_DOUBLE)
167: #define hipsparse_scalartype HIP_R_64F
168: #define hipsparse_csr_spmv hipsparseDcsrmv
169: #define hipsparse_csr_spmm hipsparseDcsrmm
170: #define hipsparse_csr2csc hipsparseDcsr2csc
171: #define hipsparse_hyb_spmv hipsparseDhybmv
172: #define hipsparse_csr2hyb hipsparseDcsr2hyb
173: #define hipsparse_hyb2csr hipsparseDhyb2csr
174: #define hipsparse_csr_spgemm hipsparseDcsrgemm
175: // #define hipsparse_csr_spgeam hipsparseDcsrgeam
176: #endif /* Single or double */
177: #endif /* complex or not */
179: #define THRUSTINTARRAY32 thrust::device_vector<int>
180: #define THRUSTINTARRAY thrust::device_vector<PetscInt>
181: #define THRUSTARRAY thrust::device_vector<PetscScalar>
183: /* A CSR matrix structure */
184: struct CsrMatrix {
185: PetscInt num_rows;
186: PetscInt num_cols;
187: PetscInt num_entries;
188: THRUSTINTARRAY32 *row_offsets;
189: THRUSTINTARRAY32 *column_indices;
190: THRUSTARRAY *values;
191: };
193: /* This is struct holding the relevant data needed to a MatSolve */
194: struct Mat_SeqAIJHIPSPARSETriFactorStruct {
195: /* Data needed for triangular solve */
196: hipsparseMatDescr_t descr;
197: hipsparseOperation_t solveOp;
198: CsrMatrix *csrMat;
199: csrsvInfo_t solveInfo;
200: hipsparseSolvePolicy_t solvePolicy; /* whether level information is generated and used */
201: int solveBufferSize;
202: void *solveBuffer;
203: size_t csr2cscBufferSize; /* to transpose the triangular factor (only used for CUDA >= 11.0) */
204: void *csr2cscBuffer;
205: PetscScalar *AA_h; /* managed host buffer for moving values to the GPU */
206: };
208: /* This is a larger struct holding all the triangular factors for a solve, transpose solve, and any indices used in a reordering */
209: struct Mat_SeqAIJHIPSPARSETriFactors {
210: Mat_SeqAIJHIPSPARSETriFactorStruct *loTriFactorPtr; /* pointer for lower triangular (factored matrix) on GPU */
211: Mat_SeqAIJHIPSPARSETriFactorStruct *upTriFactorPtr; /* pointer for upper triangular (factored matrix) on GPU */
212: Mat_SeqAIJHIPSPARSETriFactorStruct *loTriFactorPtrTranspose; /* pointer for lower triangular (factored matrix) on GPU for the transpose (useful for BiCG) */
213: Mat_SeqAIJHIPSPARSETriFactorStruct *upTriFactorPtrTranspose; /* pointer for upper triangular (factored matrix) on GPU for the transpose (useful for BiCG)*/
214: THRUSTINTARRAY *rpermIndices; /* indices used for any reordering */
215: THRUSTINTARRAY *cpermIndices; /* indices used for any reordering */
216: THRUSTARRAY *workVector;
217: hipsparseHandle_t handle; /* a handle to the hipsparse library */
218: PetscInt nnz; /* number of nonzeros ... need this for accurate logging between ICC and ILU */
219: PetscScalar *a_band_d; /* GPU data for banded CSR LU factorization matrix diag(L)=1 */
220: int *i_band_d; /* this could be optimized away */
221: hipDeviceProp_t dev_prop;
222: PetscBool init_dev_prop;
224: /* csrilu0/csric0 appeared in earlier versions of AMD ROCm^{TM}, but we use it along with hipsparseSpSV,
225: which first appeared in hipsparse with ROCm-4.5.0.
226: */
227: PetscBool factorizeOnDevice; /* Do factorization on device or not */
228: #if PETSC_PKG_HIP_VERSION_GE(4, 5, 0)
229: PetscScalar *csrVal;
230: int *csrRowPtr, *csrColIdx; /* a,i,j of M. Using int since some hipsparse APIs only support 32-bit indices */
232: /* Mixed mat descriptor types? yes, different hipsparse APIs use different types */
233: hipsparseMatDescr_t matDescr_M;
234: hipsparseSpMatDescr_t spMatDescr_L, spMatDescr_U;
235: hipsparseSpSVDescr_t spsvDescr_L, spsvDescr_Lt, spsvDescr_U, spsvDescr_Ut;
237: hipsparseDnVecDescr_t dnVecDescr_X, dnVecDescr_Y;
238: PetscScalar *X, *Y; /* data array of dnVec X and Y */
240: /* Mixed size types? yes */
241: int factBufferSize_M; /* M ~= LU or LLt */
242: size_t spsvBufferSize_L, spsvBufferSize_Lt, spsvBufferSize_U, spsvBufferSize_Ut;
243: /* hipsparse needs various buffers for factorization and solve of L, U, Lt, or Ut.
244: To save memory, we share the factorization buffer with one of spsvBuffer_L/U.
245: */
246: void *factBuffer_M, *spsvBuffer_L, *spsvBuffer_U, *spsvBuffer_Lt, *spsvBuffer_Ut;
248: csrilu02Info_t ilu0Info_M;
249: csric02Info_t ic0Info_M;
250: int structural_zero, numerical_zero;
251: hipsparseSolvePolicy_t policy_M;
253: /* In MatSolveTranspose() for ILU0, we use the two flags to do on-demand solve */
254: PetscBool createdTransposeSpSVDescr; /* Have we created SpSV descriptors for Lt, Ut? */
255: PetscBool updatedTransposeSpSVAnalysis; /* Have we updated SpSV analysis with the latest L, U values? */
257: PetscLogDouble numericFactFlops; /* Estimated FLOPs in ILU0/ICC0 numeric factorization */
258: #endif
259: };
261: struct Mat_HipsparseSpMV {
262: PetscBool initialized; /* Don't rely on spmvBuffer != NULL to test if the struct is initialized, */
263: size_t spmvBufferSize; /* since I'm not sure if smvBuffer can be NULL even after hipsparseSpMV_bufferSize() */
264: void *spmvBuffer;
265: hipsparseDnVecDescr_t vecXDescr, vecYDescr; /* descriptor for the dense vectors in y=op(A)x */
266: };
268: /* This is struct holding the relevant data needed to a MatMult */
269: struct Mat_SeqAIJHIPSPARSEMultStruct {
270: void *mat; /* opaque pointer to a matrix. This could be either a hipsparseHybMat_t or a CsrMatrix */
271: hipsparseMatDescr_t descr; /* Data needed to describe the matrix for a multiply */
272: THRUSTINTARRAY *cprowIndices; /* compressed row indices used in the parallel SpMV */
273: PetscScalar *alpha_one; /* pointer to a device "scalar" storing the alpha parameter in the SpMV */
274: PetscScalar *beta_zero; /* pointer to a device "scalar" storing the beta parameter in the SpMV as zero*/
275: PetscScalar *beta_one; /* pointer to a device "scalar" storing the beta parameter in the SpMV as one */
276: hipsparseSpMatDescr_t matDescr; /* descriptor for the matrix, used by SpMV and SpMM */
277: Mat_HipsparseSpMV hipSpMV[3]; /* different Mat_CusparseSpMV structs for non-transpose, transpose, conj-transpose */
278: Mat_SeqAIJHIPSPARSEMultStruct() : matDescr(NULL)
279: {
280: for (int i = 0; i < 3; i++) hipSpMV[i].initialized = PETSC_FALSE;
281: }
282: };
284: /* This is a larger struct holding all the matrices for a SpMV, and SpMV Transpose */
285: struct Mat_SeqAIJHIPSPARSE {
286: Mat_SeqAIJHIPSPARSEMultStruct *mat; /* pointer to the matrix on the GPU */
287: Mat_SeqAIJHIPSPARSEMultStruct *matTranspose; /* pointer to the matrix on the GPU (for the transpose ... useful for BiCG) */
288: THRUSTARRAY *workVector; /* pointer to a workvector to which we can copy the relevant indices of a vector we want to multiply */
289: THRUSTINTARRAY32 *rowoffsets_gpu; /* rowoffsets on GPU in non-compressed-row format. It is used to convert CSR to CSC */
290: PetscInt nrows; /* number of rows of the matrix seen by GPU */
291: MatHIPSPARSEStorageFormat format; /* the storage format for the matrix on the device */
292: PetscBool use_cpu_solve; /* Use AIJ_Seq (I)LU solve */
293: hipStream_t stream; /* a stream for the parallel SpMV ... this is not owned and should not be deleted */
294: hipsparseHandle_t handle; /* a handle to the cusparse library ... this may not be owned (if we're working in parallel i.e. multiGPUs) */
295: PetscObjectState nonzerostate; /* track nonzero state to possibly recreate the GPU matrix */
296: size_t csr2cscBufferSize; /* stuff used to compute the matTranspose above */
297: void *csr2cscBuffer; /* This is used as a C struct and is calloc'ed by PetscNewLog() */
298: // hipsparseCsr2CscAlg_t csr2cscAlg; /* algorithms can be selected from command line options */
299: hipsparseSpMVAlg_t spmvAlg;
300: hipsparseSpMMAlg_t spmmAlg;
301: THRUSTINTARRAY *csr2csc_i;
302: PetscSplitCSRDataStructure deviceMat; /* Matrix on device for, eg, assembly */
303: THRUSTINTARRAY *cooPerm; /* permutation array that sorts the input coo entris by row and col */
304: THRUSTINTARRAY *cooPerm_a; /* ordered array that indicate i-th nonzero (after sorting) is the j-th unique nonzero */
306: /* Stuff for extended COO support */
307: PetscBool use_extended_coo; /* Use extended COO format */
308: PetscCount *jmap_d; /* perm[disp+jmap[i]..disp+jmap[i+1]) gives indices of entries in v[] associated with i-th nonzero of the matrix */
309: PetscCount *perm_d;
311: Mat_SeqAIJHIPSPARSE() : use_extended_coo(PETSC_FALSE), perm_d(NULL), jmap_d(NULL) { }
312: };
314: typedef struct Mat_SeqAIJHIPSPARSETriFactors *Mat_SeqAIJHIPSPARSETriFactors_p;
316: PETSC_INTERN PetscErrorCode MatSeqAIJHIPSPARSECopyToGPU(Mat);
317: PETSC_INTERN PetscErrorCode MatSetPreallocationCOO_SeqAIJHIPSPARSE_Basic(Mat, PetscCount, PetscInt[], PetscInt[]);
318: PETSC_INTERN PetscErrorCode MatSetValuesCOO_SeqAIJHIPSPARSE_Basic(Mat, const PetscScalar[], InsertMode);
319: PETSC_INTERN PetscErrorCode MatSeqAIJHIPSPARSEMergeMats(Mat, Mat, MatReuse, Mat *);
320: PETSC_INTERN PetscErrorCode MatSeqAIJHIPSPARSETriFactors_Reset(Mat_SeqAIJHIPSPARSETriFactors_p *);
322: static inline bool isHipMem(const void *data)
323: {
324: hipError_t cerr;
325: struct hipPointerAttribute_t attr;
326: enum hipMemoryType mtype;
327: cerr = hipPointerGetAttributes(&attr, data); /* Do not check error since before CUDA 11.0, passing a host pointer returns hipErrorInvalidValue */
328: hipGetLastError(); /* Reset the last error */
329: mtype = attr.memoryType;
330: if (cerr == hipSuccess && mtype == hipMemoryTypeDevice) return true;
331: else return false;
332: }
334: #endif