Actual source code: sveccuda.cu
slepc-3.20.1 2023-11-27
1: /*
2: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3: SLEPc - Scalable Library for Eigenvalue Problem Computations
4: Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
6: This file is part of SLEPc.
7: SLEPc is distributed under a 2-clause BSD license (see LICENSE).
8: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
9: */
10: /*
11: BV implemented as a single Vec (CUDA version)
12: */
14: #include <slepc/private/bvimpl.h>
15: #include <slepccublas.h>
16: #include "../src/sys/classes/bv/impls/svec/svec.h"
18: PetscErrorCode BVMult_Svec_CUDA(BV Y,PetscScalar alpha,PetscScalar beta,BV X,Mat Q)
19: {
20: BV_SVEC *y = (BV_SVEC*)Y->data,*x = (BV_SVEC*)X->data;
21: const PetscScalar *d_px,*d_A,*d_B,*d_q;
22: PetscScalar *d_py,*d_C;
23: PetscInt ldq;
25: PetscFunctionBegin;
26: if (!Y->n) PetscFunctionReturn(PETSC_SUCCESS);
27: PetscCall(VecCUDAGetArrayRead(x->v,&d_px));
28: if (beta==(PetscScalar)0.0) PetscCall(VecCUDAGetArrayWrite(y->v,&d_py));
29: else PetscCall(VecCUDAGetArray(y->v,&d_py));
30: d_A = d_px+(X->nc+X->l)*X->ld;
31: d_C = d_py+(Y->nc+Y->l)*Y->ld;
32: if (Q) {
33: PetscCall(MatDenseGetLDA(Q,&ldq));
34: PetscCall(BV_MatDenseCUDAGetArrayRead(Y,Q,&d_q));
35: d_B = d_q+Y->l*ldq+X->l;
36: PetscCall(BVMult_BLAS_CUDA(Y,Y->n,Y->k-Y->l,X->k-X->l,alpha,d_A,X->ld,d_B,ldq,beta,d_C,Y->ld));
37: PetscCall(BV_MatDenseCUDARestoreArrayRead(Y,Q,&d_q));
38: } else PetscCall(BVAXPY_BLAS_CUDA(Y,Y->n,Y->k-Y->l,alpha,d_A,X->ld,beta,d_C,Y->ld));
39: PetscCall(VecCUDARestoreArrayRead(x->v,&d_px));
40: if (beta==(PetscScalar)0.0) PetscCall(VecCUDARestoreArrayWrite(y->v,&d_py));
41: else PetscCall(VecCUDARestoreArray(y->v,&d_py));
42: PetscFunctionReturn(PETSC_SUCCESS);
43: }
45: PetscErrorCode BVMultVec_Svec_CUDA(BV X,PetscScalar alpha,PetscScalar beta,Vec y,PetscScalar *q)
46: {
47: BV_SVEC *x = (BV_SVEC*)X->data;
48: PetscScalar *d_py,*d_q;
49: const PetscScalar *d_px;
51: PetscFunctionBegin;
52: PetscCall(VecCUDAGetArrayRead(x->v,&d_px));
53: if (beta==(PetscScalar)0.0) PetscCall(VecCUDAGetArrayWrite(y,&d_py));
54: else PetscCall(VecCUDAGetArray(y,&d_py));
55: if (!q) PetscCall(VecCUDAGetArray(X->buffer,&d_q));
56: else {
57: PetscInt k=X->k-X->l;
58: PetscCallCUDA(cudaMalloc((void**)&d_q,k*sizeof(PetscScalar)));
59: PetscCallCUDA(cudaMemcpy(d_q,q,k*sizeof(PetscScalar),cudaMemcpyHostToDevice));
60: PetscCall(PetscLogCpuToGpu(k*sizeof(PetscScalar)));
61: }
62: PetscCall(BVMultVec_BLAS_CUDA(X,X->n,X->k-X->l,alpha,d_px+(X->nc+X->l)*X->ld,X->ld,d_q,beta,d_py));
63: PetscCall(VecCUDARestoreArrayRead(x->v,&d_px));
64: if (beta==(PetscScalar)0.0) PetscCall(VecCUDARestoreArrayWrite(y,&d_py));
65: else PetscCall(VecCUDARestoreArray(y,&d_py));
66: if (!q) PetscCall(VecCUDARestoreArray(X->buffer,&d_q));
67: else PetscCallCUDA(cudaFree(d_q));
68: PetscFunctionReturn(PETSC_SUCCESS);
69: }
71: PetscErrorCode BVMultInPlace_Svec_CUDA(BV V,Mat Q,PetscInt s,PetscInt e)
72: {
73: BV_SVEC *ctx = (BV_SVEC*)V->data;
74: PetscScalar *d_pv;
75: const PetscScalar *d_q;
76: PetscInt ldq;
78: PetscFunctionBegin;
79: if (s>=e || !V->n) PetscFunctionReturn(PETSC_SUCCESS);
80: PetscCall(MatDenseGetLDA(Q,&ldq));
81: PetscCall(VecCUDAGetArray(ctx->v,&d_pv));
82: PetscCall(BV_MatDenseCUDAGetArrayRead(V,Q,&d_q));
83: PetscCall(BVMultInPlace_BLAS_CUDA(V,V->n,V->k-V->l,s-V->l,e-V->l,d_pv+(V->nc+V->l)*V->ld,V->ld,d_q+V->l*ldq+V->l,ldq,PETSC_FALSE));
84: PetscCall(BV_MatDenseCUDARestoreArrayRead(V,Q,&d_q));
85: PetscCall(VecCUDARestoreArray(ctx->v,&d_pv));
86: PetscFunctionReturn(PETSC_SUCCESS);
87: }
89: PetscErrorCode BVMultInPlaceHermitianTranspose_Svec_CUDA(BV V,Mat Q,PetscInt s,PetscInt e)
90: {
91: BV_SVEC *ctx = (BV_SVEC*)V->data;
92: PetscScalar *d_pv;
93: const PetscScalar *d_q;
94: PetscInt ldq;
96: PetscFunctionBegin;
97: if (s>=e || !V->n) PetscFunctionReturn(PETSC_SUCCESS);
98: PetscCall(MatDenseGetLDA(Q,&ldq));
99: PetscCall(VecCUDAGetArray(ctx->v,&d_pv));
100: PetscCall(BV_MatDenseCUDAGetArrayRead(V,Q,&d_q));
101: PetscCall(BVMultInPlace_BLAS_CUDA(V,V->n,V->k-V->l,s-V->l,e-V->l,d_pv+(V->nc+V->l)*V->ld,V->ld,d_q+V->l*ldq+V->l,ldq,PETSC_TRUE));
102: PetscCall(BV_MatDenseCUDARestoreArrayRead(V,Q,&d_q));
103: PetscCall(VecCUDARestoreArray(ctx->v,&d_pv));
104: PetscFunctionReturn(PETSC_SUCCESS);
105: }
107: PetscErrorCode BVDot_Svec_CUDA(BV X,BV Y,Mat M)
108: {
109: BV_SVEC *x = (BV_SVEC*)X->data,*y = (BV_SVEC*)Y->data;
110: const PetscScalar *d_px,*d_py;
111: PetscScalar *pm;
112: PetscInt ldm;
114: PetscFunctionBegin;
115: PetscCall(MatDenseGetLDA(M,&ldm));
116: PetscCall(VecCUDAGetArrayRead(x->v,&d_px));
117: PetscCall(VecCUDAGetArrayRead(y->v,&d_py));
118: PetscCall(MatDenseGetArrayWrite(M,&pm));
119: PetscCall(BVDot_BLAS_CUDA(X,Y->k-Y->l,X->k-X->l,X->n,d_py+(Y->nc+Y->l)*Y->ld,Y->ld,d_px+(X->nc+X->l)*X->ld,X->ld,pm+X->l*ldm+Y->l,ldm,x->mpi));
120: PetscCall(MatDenseRestoreArrayWrite(M,&pm));
121: PetscCall(VecCUDARestoreArrayRead(x->v,&d_px));
122: PetscCall(VecCUDARestoreArrayRead(y->v,&d_py));
123: PetscFunctionReturn(PETSC_SUCCESS);
124: }
126: PetscErrorCode BVDotVec_Svec_CUDA(BV X,Vec y,PetscScalar *q)
127: {
128: BV_SVEC *x = (BV_SVEC*)X->data;
129: const PetscScalar *d_px,*d_py;
130: Vec z = y;
132: PetscFunctionBegin;
133: if (PetscUnlikely(X->matrix)) {
134: PetscCall(BV_IPMatMult(X,y));
135: z = X->Bx;
136: }
137: PetscCall(VecCUDAGetArrayRead(x->v,&d_px));
138: PetscCall(VecCUDAGetArrayRead(z,&d_py));
139: PetscCall(BVDotVec_BLAS_CUDA(X,X->n,X->k-X->l,d_px+(X->nc+X->l)*X->ld,X->ld,d_py,q,x->mpi));
140: PetscCall(VecCUDARestoreArrayRead(z,&d_py));
141: PetscCall(VecCUDARestoreArrayRead(x->v,&d_px));
142: PetscFunctionReturn(PETSC_SUCCESS);
143: }
145: PetscErrorCode BVDotVec_Local_Svec_CUDA(BV X,Vec y,PetscScalar *m)
146: {
147: BV_SVEC *x = (BV_SVEC*)X->data;
148: const PetscScalar *d_px,*d_py;
149: Vec z = y;
151: PetscFunctionBegin;
152: if (PetscUnlikely(X->matrix)) {
153: PetscCall(BV_IPMatMult(X,y));
154: z = X->Bx;
155: }
156: PetscCall(VecCUDAGetArrayRead(x->v,&d_px));
157: PetscCall(VecCUDAGetArrayRead(z,&d_py));
158: PetscCall(BVDotVec_BLAS_CUDA(X,X->n,X->k-X->l,d_px+(X->nc+X->l)*X->ld,X->ld,d_py,m,PETSC_FALSE));
159: PetscCall(VecCUDARestoreArrayRead(z,&d_py));
160: PetscCall(VecCUDARestoreArrayRead(x->v,&d_px));
161: PetscFunctionReturn(PETSC_SUCCESS);
162: }
164: PetscErrorCode BVScale_Svec_CUDA(BV bv,PetscInt j,PetscScalar alpha)
165: {
166: BV_SVEC *ctx = (BV_SVEC*)bv->data;
167: PetscScalar *d_array,*d_A;
168: PetscInt n=0;
170: PetscFunctionBegin;
171: if (!bv->n) PetscFunctionReturn(PETSC_SUCCESS);
172: PetscCall(VecCUDAGetArray(ctx->v,&d_array));
173: if (PetscUnlikely(j<0)) {
174: d_A = d_array+(bv->nc+bv->l)*bv->ld;
175: n = (bv->k-bv->l)*bv->ld;
176: } else {
177: d_A = d_array+(bv->nc+j)*bv->ld;
178: n = bv->n;
179: }
180: PetscCall(BVScale_BLAS_CUDA(bv,n,d_A,alpha));
181: PetscCall(VecCUDARestoreArray(ctx->v,&d_array));
182: PetscFunctionReturn(PETSC_SUCCESS);
183: }
185: PetscErrorCode BVMatMult_Svec_CUDA(BV V,Mat A,BV W)
186: {
187: BV_SVEC *v = (BV_SVEC*)V->data,*w = (BV_SVEC*)W->data;
188: Mat Vmat,Wmat;
189: const PetscScalar *d_pv;
190: PetscScalar *d_pw;
191: PetscInt j;
193: PetscFunctionBegin;
194: if (V->vmm) {
195: PetscCall(BVGetMat(V,&Vmat));
196: PetscCall(BVGetMat(W,&Wmat));
197: PetscCall(MatProductCreateWithMat(A,Vmat,NULL,Wmat));
198: PetscCall(MatProductSetType(Wmat,MATPRODUCT_AB));
199: PetscCall(MatProductSetFromOptions(Wmat));
200: PetscCall(MatProductSymbolic(Wmat));
201: PetscCall(MatProductNumeric(Wmat));
202: PetscCall(MatProductClear(Wmat));
203: PetscCall(BVRestoreMat(V,&Vmat));
204: PetscCall(BVRestoreMat(W,&Wmat));
205: } else {
206: PetscCall(VecCUDAGetArrayRead(v->v,&d_pv));
207: PetscCall(VecCUDAGetArrayWrite(w->v,&d_pw));
208: for (j=0;j<V->k-V->l;j++) {
209: PetscCall(VecCUDAPlaceArray(V->cv[1],(PetscScalar *)d_pv+(V->nc+V->l+j)*V->ld));
210: PetscCall(VecCUDAPlaceArray(W->cv[1],d_pw+(W->nc+W->l+j)*W->ld));
211: PetscCall(MatMult(A,V->cv[1],W->cv[1]));
212: PetscCall(VecCUDAResetArray(V->cv[1]));
213: PetscCall(VecCUDAResetArray(W->cv[1]));
214: }
215: PetscCall(VecCUDARestoreArrayRead(v->v,&d_pv));
216: PetscCall(VecCUDARestoreArrayWrite(w->v,&d_pw));
217: }
218: PetscFunctionReturn(PETSC_SUCCESS);
219: }
221: PetscErrorCode BVCopy_Svec_CUDA(BV V,BV W)
222: {
223: BV_SVEC *v = (BV_SVEC*)V->data,*w = (BV_SVEC*)W->data;
224: const PetscScalar *d_pv;
225: PetscScalar *d_pw;
227: PetscFunctionBegin;
228: PetscCall(VecCUDAGetArrayRead(v->v,&d_pv));
229: PetscCall(VecCUDAGetArray(w->v,&d_pw));
230: PetscCallCUDA(cudaMemcpy2D(d_pw+(W->nc+W->l)*W->ld,W->ld*sizeof(PetscScalar),d_pv+(V->nc+V->l)*V->ld,V->ld*sizeof(PetscScalar),V->n*sizeof(PetscScalar),V->k-V->l,cudaMemcpyDeviceToDevice));
231: PetscCall(VecCUDARestoreArrayRead(v->v,&d_pv));
232: PetscCall(VecCUDARestoreArray(w->v,&d_pw));
233: PetscFunctionReturn(PETSC_SUCCESS);
234: }
236: PetscErrorCode BVCopyColumn_Svec_CUDA(BV V,PetscInt j,PetscInt i)
237: {
238: BV_SVEC *v = (BV_SVEC*)V->data;
239: PetscScalar *d_pv;
241: PetscFunctionBegin;
242: PetscCall(VecCUDAGetArray(v->v,&d_pv));
243: PetscCallCUDA(cudaMemcpy(d_pv+(V->nc+i)*V->ld,d_pv+(V->nc+j)*V->ld,V->n*sizeof(PetscScalar),cudaMemcpyDeviceToDevice));
244: PetscCall(VecCUDARestoreArray(v->v,&d_pv));
245: PetscFunctionReturn(PETSC_SUCCESS);
246: }
248: PetscErrorCode BVResize_Svec_CUDA(BV bv,PetscInt m,PetscBool copy)
249: {
250: BV_SVEC *ctx = (BV_SVEC*)bv->data;
251: const PetscScalar *d_pv;
252: PetscScalar *d_pnew;
253: PetscInt bs;
254: Vec vnew;
255: char str[50];
257: PetscFunctionBegin;
258: PetscCall(VecGetBlockSize(bv->t,&bs));
259: PetscCall(VecCreate(PetscObjectComm((PetscObject)bv->t),&vnew));
260: PetscCall(VecSetType(vnew,((PetscObject)bv->t)->type_name));
261: PetscCall(VecSetSizes(vnew,m*bv->ld,PETSC_DECIDE));
262: PetscCall(VecSetBlockSize(vnew,bs));
263: if (((PetscObject)bv)->name) {
264: PetscCall(PetscSNPrintf(str,sizeof(str),"%s_0",((PetscObject)bv)->name));
265: PetscCall(PetscObjectSetName((PetscObject)vnew,str));
266: }
267: if (copy) {
268: PetscCall(VecCUDAGetArrayRead(ctx->v,&d_pv));
269: PetscCall(VecCUDAGetArrayWrite(vnew,&d_pnew));
270: PetscCallCUDA(cudaMemcpy(d_pnew,d_pv,PetscMin(m,bv->m)*bv->ld*sizeof(PetscScalar),cudaMemcpyDeviceToDevice));
271: PetscCall(VecCUDARestoreArrayRead(ctx->v,&d_pv));
272: PetscCall(VecCUDARestoreArrayWrite(vnew,&d_pnew));
273: }
274: PetscCall(VecDestroy(&ctx->v));
275: ctx->v = vnew;
276: PetscFunctionReturn(PETSC_SUCCESS);
277: }
279: PetscErrorCode BVGetColumn_Svec_CUDA(BV bv,PetscInt j,Vec*)
280: {
281: BV_SVEC *ctx = (BV_SVEC*)bv->data;
282: PetscScalar *d_pv;
283: PetscInt l;
285: PetscFunctionBegin;
286: l = BVAvailableVec;
287: PetscCall(VecCUDAGetArray(ctx->v,&d_pv));
288: PetscCall(VecCUDAPlaceArray(bv->cv[l],d_pv+(bv->nc+j)*bv->ld));
289: PetscFunctionReturn(PETSC_SUCCESS);
290: }
292: PetscErrorCode BVRestoreColumn_Svec_CUDA(BV bv,PetscInt j,Vec*)
293: {
294: BV_SVEC *ctx = (BV_SVEC*)bv->data;
295: PetscInt l;
297: PetscFunctionBegin;
298: l = (j==bv->ci[0])? 0: 1;
299: PetscCall(VecCUDAResetArray(bv->cv[l]));
300: PetscCall(VecCUDARestoreArray(ctx->v,NULL));
301: PetscFunctionReturn(PETSC_SUCCESS);
302: }
304: PetscErrorCode BVRestoreSplit_Svec_CUDA(BV bv,BV *L,BV *R)
305: {
306: Vec v;
307: const PetscScalar *d_pv;
308: PetscObjectState lstate,rstate;
309: PetscBool change=PETSC_FALSE;
311: PetscFunctionBegin;
312: /* force sync flag to PETSC_CUDA_BOTH */
313: if (L) {
314: PetscCall(PetscObjectStateGet((PetscObject)*L,&lstate));
315: if (lstate != bv->lstate) {
316: v = ((BV_SVEC*)bv->L->data)->v;
317: PetscCall(VecCUDAGetArrayRead(v,&d_pv));
318: PetscCall(VecCUDARestoreArrayRead(v,&d_pv));
319: change = PETSC_TRUE;
320: }
321: }
322: if (R) {
323: PetscCall(PetscObjectStateGet((PetscObject)*R,&rstate));
324: if (rstate != bv->rstate) {
325: v = ((BV_SVEC*)bv->R->data)->v;
326: PetscCall(VecCUDAGetArrayRead(v,&d_pv));
327: PetscCall(VecCUDARestoreArrayRead(v,&d_pv));
328: change = PETSC_TRUE;
329: }
330: }
331: if (change) {
332: v = ((BV_SVEC*)bv->data)->v;
333: PetscCall(VecCUDAGetArray(v,(PetscScalar **)&d_pv));
334: PetscCall(VecCUDARestoreArray(v,(PetscScalar **)&d_pv));
335: }
336: PetscFunctionReturn(PETSC_SUCCESS);
337: }
339: PetscErrorCode BVGetMat_Svec_CUDA(BV bv,Mat *A)
340: {
341: BV_SVEC *ctx = (BV_SVEC*)bv->data;
342: PetscScalar *vv,*aa;
343: PetscBool create=PETSC_FALSE;
344: PetscInt m,cols;
345: VecType vtype;
347: PetscFunctionBegin;
348: m = bv->k-bv->l;
349: if (!bv->Aget) create=PETSC_TRUE;
350: else {
351: PetscCall(MatDenseCUDAGetArray(bv->Aget,&aa));
352: PetscCheck(!aa,PetscObjectComm((PetscObject)bv),PETSC_ERR_ARG_WRONGSTATE,"BVGetMat already called on this BV");
353: PetscCall(MatGetSize(bv->Aget,NULL,&cols));
354: if (cols!=m) {
355: PetscCall(MatDestroy(&bv->Aget));
356: create=PETSC_TRUE;
357: }
358: }
359: PetscCall(VecCUDAGetArray(ctx->v,&vv));
360: if (create) {
361: PetscCall(VecGetType(bv->t,&vtype));
362: PetscCall(MatCreateDenseFromVecType(PetscObjectComm((PetscObject)bv),vtype,bv->n,PETSC_DECIDE,bv->N,m,bv->ld,vv,&bv->Aget)); /* pass a pointer to avoid allocation of storage */
363: PetscCall(MatDenseCUDAReplaceArray(bv->Aget,NULL)); /* replace with a null pointer, the value after BVRestoreMat */
364: }
365: PetscCall(MatDenseCUDAPlaceArray(bv->Aget,vv+(bv->nc+bv->l)*bv->ld)); /* set the actual pointer */
366: *A = bv->Aget;
367: PetscFunctionReturn(PETSC_SUCCESS);
368: }
370: PetscErrorCode BVRestoreMat_Svec_CUDA(BV bv,Mat *A)
371: {
372: BV_SVEC *ctx = (BV_SVEC*)bv->data;
373: PetscScalar *vv,*aa;
375: PetscFunctionBegin;
376: PetscCall(MatDenseCUDAGetArray(bv->Aget,&aa));
377: vv = aa-(bv->nc+bv->l)*bv->ld;
378: PetscCall(MatDenseCUDAResetArray(bv->Aget));
379: PetscCall(VecCUDARestoreArray(ctx->v,&vv));
380: *A = NULL;
381: PetscFunctionReturn(PETSC_SUCCESS);
382: }