Actual source code: bvimpl.h
slepc-3.17.1 2022-04-11
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: */
11: #if !defined(SLEPCBVIMPL_H)
12: #define SLEPCBVIMPL_H
14: #include <slepcbv.h>
15: #include <slepc/private/slepcimpl.h>
17: SLEPC_EXTERN PetscBool BVRegisterAllCalled;
18: SLEPC_EXTERN PetscErrorCode BVRegisterAll(void);
20: SLEPC_EXTERN PetscLogEvent BV_Create,BV_Copy,BV_Mult,BV_MultVec,BV_MultInPlace,BV_Dot,BV_DotVec,BV_Orthogonalize,BV_OrthogonalizeVec,BV_Scale,BV_Norm,BV_NormVec,BV_Normalize,BV_SetRandom,BV_MatMult,BV_MatMultVec,BV_MatProject,BV_SVDAndRank;
22: typedef struct _BVOps *BVOps;
24: struct _BVOps {
25: PetscErrorCode (*mult)(BV,PetscScalar,PetscScalar,BV,Mat);
26: PetscErrorCode (*multvec)(BV,PetscScalar,PetscScalar,Vec,PetscScalar*);
27: PetscErrorCode (*multinplace)(BV,Mat,PetscInt,PetscInt);
28: PetscErrorCode (*multinplacetrans)(BV,Mat,PetscInt,PetscInt);
29: PetscErrorCode (*dot)(BV,BV,Mat);
30: PetscErrorCode (*dotvec)(BV,Vec,PetscScalar*);
31: PetscErrorCode (*dotvec_local)(BV,Vec,PetscScalar*);
32: PetscErrorCode (*dotvec_begin)(BV,Vec,PetscScalar*);
33: PetscErrorCode (*dotvec_end)(BV,Vec,PetscScalar*);
34: PetscErrorCode (*scale)(BV,PetscInt,PetscScalar);
35: PetscErrorCode (*norm)(BV,PetscInt,NormType,PetscReal*);
36: PetscErrorCode (*norm_local)(BV,PetscInt,NormType,PetscReal*);
37: PetscErrorCode (*norm_begin)(BV,PetscInt,NormType,PetscReal*);
38: PetscErrorCode (*norm_end)(BV,PetscInt,NormType,PetscReal*);
39: PetscErrorCode (*normalize)(BV,PetscScalar*);
40: PetscErrorCode (*matmult)(BV,Mat,BV);
41: PetscErrorCode (*copy)(BV,BV);
42: PetscErrorCode (*copycolumn)(BV,PetscInt,PetscInt);
43: PetscErrorCode (*resize)(BV,PetscInt,PetscBool);
44: PetscErrorCode (*getcolumn)(BV,PetscInt,Vec*);
45: PetscErrorCode (*restorecolumn)(BV,PetscInt,Vec*);
46: PetscErrorCode (*getarray)(BV,PetscScalar**);
47: PetscErrorCode (*restorearray)(BV,PetscScalar**);
48: PetscErrorCode (*getarrayread)(BV,const PetscScalar**);
49: PetscErrorCode (*restorearrayread)(BV,const PetscScalar**);
50: PetscErrorCode (*restoresplit)(BV,BV*,BV*);
51: PetscErrorCode (*gramschmidt)(BV,PetscInt,Vec,PetscBool*,PetscScalar*,PetscScalar*,PetscReal*,PetscReal*);
52: PetscErrorCode (*getmat)(BV,Mat*);
53: PetscErrorCode (*restoremat)(BV,Mat*);
54: PetscErrorCode (*duplicate)(BV,BV);
55: PetscErrorCode (*create)(BV);
56: PetscErrorCode (*setfromoptions)(PetscOptionItems*,BV);
57: PetscErrorCode (*view)(BV,PetscViewer);
58: PetscErrorCode (*destroy)(BV);
59: };
61: struct _p_BV {
62: PETSCHEADER(struct _BVOps);
63: /*------------------------- User parameters --------------------------*/
64: Vec t; /* template vector */
65: PetscInt n,N; /* dimensions of vectors (local, global) */
66: PetscInt m; /* number of vectors */
67: PetscInt l; /* number of leading columns */
68: PetscInt k; /* number of active columns */
69: PetscInt nc; /* number of constraints */
70: BVOrthogType orthog_type; /* the method of vector orthogonalization */
71: BVOrthogRefineType orthog_ref; /* refinement method */
72: PetscReal orthog_eta; /* refinement threshold */
73: BVOrthogBlockType orthog_block; /* the method of block orthogonalization */
74: Mat matrix; /* inner product matrix */
75: PetscBool indef; /* matrix is indefinite */
76: BVMatMultType vmm; /* version of matmult operation */
77: PetscBool rrandom; /* reproducible random vectors */
78: PetscReal deftol; /* tolerance for BV_SafeSqrt */
80: /*---------------------- Cached data and workspace -------------------*/
81: Vec buffer; /* buffer vector used in orthogonalization */
82: Mat Abuffer; /* auxiliary seqdense matrix that wraps the buffer */
83: Vec Bx; /* result of matrix times a vector x */
84: PetscObjectId xid; /* object id of vector x */
85: PetscObjectState xstate; /* state of vector x */
86: Vec cv[2]; /* column vectors obtained with BVGetColumn() */
87: PetscInt ci[2]; /* column indices of obtained vectors */
88: PetscObjectState st[2]; /* state of obtained vectors */
89: PetscObjectId id[2]; /* object id of obtained vectors */
90: PetscScalar *h,*c; /* orthogonalization coefficients */
91: Vec omega; /* signature matrix values for indefinite case */
92: PetscBool defersfo; /* deferred call to setfromoptions */
93: BV cached; /* cached BV to store result of matrix times BV */
94: PetscObjectState bvstate; /* state of BV when BVApplyMatrixBV() was called */
95: BV L,R; /* BV objects obtained with BVGetSplit() */
96: PetscObjectState lstate,rstate;/* state of L and R when BVGetSplit() was called */
97: PetscInt lsplit; /* the value of l when BVGetSplit() was called */
98: PetscInt issplit; /* >0 if this BV has been created by splitting (1=left, 2=right) */
99: BV splitparent; /* my parent if I am a split BV */
100: PetscRandom rand; /* random number generator */
101: Mat Acreate; /* matrix given at BVCreateFromMat() */
102: Mat Aget; /* matrix returned for BVGetMat() */
103: PetscBool cuda; /* true if GPU must be used in SVEC */
104: PetscBool sfocalled; /* setfromoptions has been called */
105: PetscScalar *work;
106: PetscInt lwork;
107: void *data;
108: };
110: /*
111: BV_SafeSqrt - Computes the square root of a scalar value alpha, which is
112: assumed to be z'*B*z. The result is
113: if definite inner product: res = sqrt(alpha)
114: if indefinite inner product: res = sgn(alpha)*sqrt(abs(alpha))
115: */
116: static inline PetscErrorCode BV_SafeSqrt(BV bv,PetscScalar alpha,PetscReal *res)
117: {
118: PetscReal absal,realp;
120: absal = PetscAbsScalar(alpha);
121: realp = PetscRealPart(alpha);
122: if (PetscUnlikely(absal<PETSC_MACHINE_EPSILON)) PetscInfo(bv,"Zero norm, either the vector is zero or a semi-inner product is being used\n");
123: #if defined(PETSC_USE_COMPLEX)
125: #endif
126: if (PetscUnlikely(bv->indef)) {
127: *res = (realp<0.0)? -PetscSqrtReal(-realp): PetscSqrtReal(realp);
128: } else {
130: *res = (realp<0.0)? 0.0: PetscSqrtReal(realp);
131: }
132: PetscFunctionReturn(0);
133: }
135: /*
136: BV_IPMatMult - Multiply a vector x by the inner-product matrix, cache the
137: result in Bx.
138: */
139: static inline PetscErrorCode BV_IPMatMult(BV bv,Vec x)
140: {
141: if (((PetscObject)x)->id != bv->xid || ((PetscObject)x)->state != bv->xstate) {
142: if (PetscUnlikely(!bv->Bx)) {
143: MatCreateVecs(bv->matrix,&bv->Bx,NULL);
144: PetscLogObjectParent((PetscObject)bv,(PetscObject)bv->Bx);
145: }
146: MatMult(bv->matrix,x,bv->Bx);
147: PetscObjectGetId((PetscObject)x,&bv->xid);
148: PetscObjectStateGet((PetscObject)x,&bv->xstate);
149: }
150: PetscFunctionReturn(0);
151: }
153: /*
154: BV_IPMatMultBV - Multiply BV by the inner-product matrix, cache the
155: result internally in bv->cached.
156: */
157: static inline PetscErrorCode BV_IPMatMultBV(BV bv)
158: {
159: BVGetCachedBV(bv,&bv->cached);
160: if (((PetscObject)bv)->state != bv->bvstate || bv->l != bv->cached->l || bv->k != bv->cached->k) {
161: BVSetActiveColumns(bv->cached,bv->l,bv->k);
162: if (bv->matrix) BVMatMult(bv,bv->matrix,bv->cached);
163: else BVCopy(bv,bv->cached);
164: bv->bvstate = ((PetscObject)bv)->state;
165: }
166: PetscFunctionReturn(0);
167: }
169: /*
170: BV_AllocateCoeffs - Allocate orthogonalization coefficients if not done already.
171: */
172: static inline PetscErrorCode BV_AllocateCoeffs(BV bv)
173: {
174: if (!bv->h) {
175: PetscMalloc2(bv->nc+bv->m,&bv->h,bv->nc+bv->m,&bv->c);
176: PetscLogObjectMemory((PetscObject)bv,2*bv->m*sizeof(PetscScalar));
177: }
178: PetscFunctionReturn(0);
179: }
181: /*
182: BV_AllocateSignature - Allocate signature coefficients if not done already.
183: */
184: static inline PetscErrorCode BV_AllocateSignature(BV bv)
185: {
186: if (bv->indef && !bv->omega) {
187: if (bv->cuda) {
188: #if defined(PETSC_HAVE_CUDA)
189: VecCreateSeqCUDA(PETSC_COMM_SELF,bv->nc+bv->m,&bv->omega);
190: #else
191: SETERRQ(PetscObjectComm((PetscObject)bv),PETSC_ERR_PLIB,"Something wrong happened");
192: #endif
193: } else VecCreateSeq(PETSC_COMM_SELF,bv->nc+bv->m,&bv->omega);
194: PetscLogObjectParent((PetscObject)bv,(PetscObject)bv->omega);
195: VecSet(bv->omega,1.0);
196: }
197: PetscFunctionReturn(0);
198: }
200: /*
201: BVAvailableVec: First (0) or second (1) vector available for
202: getcolumn operation (or -1 if both vectors already fetched).
203: */
204: #define BVAvailableVec (((bv->ci[0]==-bv->nc-1)? 0: (bv->ci[1]==-bv->nc-1)? 1: -1))
206: /*
207: Macros to test valid BV arguments
208: */
209: #if !defined(PETSC_USE_DEBUG)
211: #define BVCheckSizes(h,arg) do {(void)(h);} while (0)
212: #define BVCheckOp(h,arg,op) do {(void)(h);} while (0)
214: #else
216: #define BVCheckSizes(h,arg) \
217: do { \
219: } while (0)
221: #define BVCheckOp(h,arg,op) \
222: do { \
224: } while (0)
226: #endif
228: SLEPC_INTERN PetscErrorCode BVView_Vecs(BV,PetscViewer);
230: SLEPC_INTERN PetscErrorCode BVAllocateWork_Private(BV,PetscInt);
232: SLEPC_INTERN PetscErrorCode BVMult_BLAS_Private(BV,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar,const PetscScalar*,const PetscScalar*,PetscScalar,PetscScalar*);
233: SLEPC_INTERN PetscErrorCode BVMultVec_BLAS_Private(BV,PetscInt,PetscInt,PetscScalar,const PetscScalar*,const PetscScalar*,PetscScalar,PetscScalar*);
234: SLEPC_INTERN PetscErrorCode BVMultInPlace_BLAS_Private(BV,PetscInt,PetscInt,PetscInt,PetscInt,PetscInt,PetscScalar*,const PetscScalar*,PetscBool);
235: SLEPC_INTERN PetscErrorCode BVMultInPlace_Vecs_Private(BV,PetscInt,PetscInt,PetscInt,Vec*,const PetscScalar*,PetscBool);
236: SLEPC_INTERN PetscErrorCode BVAXPY_BLAS_Private(BV,PetscInt,PetscInt,PetscScalar,const PetscScalar*,PetscScalar,PetscScalar*);
237: SLEPC_INTERN PetscErrorCode BVDot_BLAS_Private(BV,PetscInt,PetscInt,PetscInt,PetscInt,const PetscScalar*,const PetscScalar*,PetscScalar*,PetscBool);
238: SLEPC_INTERN PetscErrorCode BVDotVec_BLAS_Private(BV,PetscInt,PetscInt,const PetscScalar*,const PetscScalar*,PetscScalar*,PetscBool);
239: SLEPC_INTERN PetscErrorCode BVScale_BLAS_Private(BV,PetscInt,PetscScalar*,PetscScalar);
240: SLEPC_INTERN PetscErrorCode BVNorm_LAPACK_Private(BV,PetscInt,PetscInt,const PetscScalar*,NormType,PetscReal*,PetscBool);
241: SLEPC_INTERN PetscErrorCode BVNormalize_LAPACK_Private(BV,PetscInt,PetscInt,const PetscScalar*,PetscScalar*,PetscBool);
242: SLEPC_INTERN PetscErrorCode BVMatCholInv_LAPACK_Private(BV,Mat,Mat);
243: SLEPC_INTERN PetscErrorCode BVMatTriInv_LAPACK_Private(BV,Mat,Mat);
244: SLEPC_INTERN PetscErrorCode BVMatSVQB_LAPACK_Private(BV,Mat,Mat);
245: SLEPC_INTERN PetscErrorCode BVOrthogonalize_LAPACK_TSQR(BV,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscInt);
246: SLEPC_INTERN PetscErrorCode BVOrthogonalize_LAPACK_TSQR_OnlyR(BV,PetscInt,PetscInt,PetscScalar*,PetscScalar*,PetscInt);
248: /* reduction operations used in BVOrthogonalize and BVNormalize */
249: SLEPC_EXTERN MPI_Op MPIU_TSQR, MPIU_LAPY2;
250: SLEPC_EXTERN void MPIAPI SlepcGivensPacked(void*,void*,PetscMPIInt*,MPI_Datatype*);
251: SLEPC_EXTERN void MPIAPI SlepcPythag(void*,void*,PetscMPIInt*,MPI_Datatype*);
253: /*
254: BV_CleanCoefficients_Default - Sets to zero all entries of column j of the bv buffer
255: */
256: static inline PetscErrorCode BV_CleanCoefficients_Default(BV bv,PetscInt j,PetscScalar *h)
257: {
258: PetscScalar *hh=h,*a;
259: PetscInt i;
261: if (!h) {
262: VecGetArray(bv->buffer,&a);
263: hh = a + j*(bv->nc+bv->m);
264: }
265: for (i=0;i<bv->nc+j;i++) hh[i] = 0.0;
266: if (!h) VecRestoreArray(bv->buffer,&a);
267: PetscFunctionReturn(0);
268: }
270: /*
271: BV_AddCoefficients_Default - Add the contents of the scratch (0-th column) of the bv buffer
272: into column j of the bv buffer
273: */
274: static inline PetscErrorCode BV_AddCoefficients_Default(BV bv,PetscInt j,PetscScalar *h,PetscScalar *c)
275: {
276: PetscScalar *hh=h,*cc=c;
277: PetscInt i;
279: if (!h) {
280: VecGetArray(bv->buffer,&cc);
281: hh = cc + j*(bv->nc+bv->m);
282: }
283: for (i=0;i<bv->nc+j;i++) hh[i] += cc[i];
284: if (!h) VecRestoreArray(bv->buffer,&cc);
285: PetscLogFlops(1.0*(bv->nc+j));
286: PetscFunctionReturn(0);
287: }
289: /*
290: BV_SetValue_Default - Sets value in row j (counted after the constraints) of column k
291: of the coefficients array
292: */
293: static inline PetscErrorCode BV_SetValue_Default(BV bv,PetscInt j,PetscInt k,PetscScalar *h,PetscScalar value)
294: {
295: PetscScalar *hh=h,*a;
297: if (!h) {
298: VecGetArray(bv->buffer,&a);
299: hh = a + k*(bv->nc+bv->m);
300: }
301: hh[bv->nc+j] = value;
302: if (!h) VecRestoreArray(bv->buffer,&a);
303: PetscFunctionReturn(0);
304: }
306: /*
307: BV_SquareSum_Default - Returns the value h'*h, where h represents the contents of the
308: coefficients array (up to position j)
309: */
310: static inline PetscErrorCode BV_SquareSum_Default(BV bv,PetscInt j,PetscScalar *h,PetscReal *sum)
311: {
312: PetscScalar *hh=h;
313: PetscInt i;
315: *sum = 0.0;
316: if (!h) VecGetArray(bv->buffer,&hh);
317: for (i=0;i<bv->nc+j;i++) *sum += PetscRealPart(hh[i]*PetscConj(hh[i]));
318: if (!h) VecRestoreArray(bv->buffer,&hh);
319: PetscLogFlops(2.0*(bv->nc+j));
320: PetscFunctionReturn(0);
321: }
323: /*
324: BV_ApplySignature_Default - Computes the pointwise product h*omega, where h represents
325: the contents of the coefficients array (up to position j) and omega is the signature;
326: if inverse=TRUE then the operation is h/omega
327: */
328: static inline PetscErrorCode BV_ApplySignature_Default(BV bv,PetscInt j,PetscScalar *h,PetscBool inverse)
329: {
330: PetscScalar *hh=h;
331: PetscInt i;
332: const PetscScalar *omega;
334: if (PetscUnlikely(!(bv->nc+j))) PetscFunctionReturn(0);
335: if (!h) VecGetArray(bv->buffer,&hh);
336: VecGetArrayRead(bv->omega,&omega);
337: if (inverse) for (i=0;i<bv->nc+j;i++) hh[i] /= PetscRealPart(omega[i]);
338: else for (i=0;i<bv->nc+j;i++) hh[i] *= PetscRealPart(omega[i]);
339: VecRestoreArrayRead(bv->omega,&omega);
340: if (!h) VecRestoreArray(bv->buffer,&hh);
341: PetscLogFlops(1.0*(bv->nc+j));
342: PetscFunctionReturn(0);
343: }
345: /*
346: BV_SquareRoot_Default - Returns the square root of position j (counted after the constraints)
347: of the coefficients array
348: */
349: static inline PetscErrorCode BV_SquareRoot_Default(BV bv,PetscInt j,PetscScalar *h,PetscReal *beta)
350: {
351: PetscScalar *hh=h;
353: if (!h) VecGetArray(bv->buffer,&hh);
354: BV_SafeSqrt(bv,hh[bv->nc+j],beta);
355: if (!h) VecRestoreArray(bv->buffer,&hh);
356: PetscFunctionReturn(0);
357: }
359: /*
360: BV_StoreCoefficients_Default - Copy the contents of the coefficients array to an array dest
361: provided by the caller (only values from l to j are copied)
362: */
363: static inline PetscErrorCode BV_StoreCoefficients_Default(BV bv,PetscInt j,PetscScalar *h,PetscScalar *dest)
364: {
365: PetscScalar *hh=h,*a;
366: PetscInt i;
368: if (!h) {
369: VecGetArray(bv->buffer,&a);
370: hh = a + j*(bv->nc+bv->m);
371: }
372: for (i=bv->l;i<j;i++) dest[i-bv->l] = hh[bv->nc+i];
373: if (!h) VecRestoreArray(bv->buffer,&a);
374: PetscFunctionReturn(0);
375: }
377: /*
378: BV_GetEigenvector - retrieves k-th eigenvector from basis vectors V.
379: The argument eigi is the imaginary part of the corresponding eigenvalue.
380: */
381: static inline PetscErrorCode BV_GetEigenvector(BV V,PetscInt k,PetscScalar eigi,Vec Vr,Vec Vi)
382: {
383: #if defined(PETSC_USE_COMPLEX)
384: if (Vr) BVCopyVec(V,k,Vr);
385: if (Vi) VecSet(Vi,0.0);
386: #else
387: if (eigi > 0.0) { /* first value of conjugate pair */
388: if (Vr) BVCopyVec(V,k,Vr);
389: if (Vi) BVCopyVec(V,k+1,Vi);
390: } else if (eigi < 0.0) { /* second value of conjugate pair */
391: if (Vr) BVCopyVec(V,k-1,Vr);
392: if (Vi) {
393: BVCopyVec(V,k,Vi);
394: VecScale(Vi,-1.0);
395: }
396: } else { /* real eigenvalue */
397: if (Vr) BVCopyVec(V,k,Vr);
398: if (Vi) VecSet(Vi,0.0);
399: }
400: #endif
401: PetscFunctionReturn(0);
402: }
404: /*
405: BV_OrthogonalizeColumn_Safe - this is intended for cases where we know that
406: the resulting vector is going to be numerically zero, so normalization or
407: iterative refinement may cause problems in parallel (collective operation
408: not being called by all processes)
409: */
410: static inline PetscErrorCode BV_OrthogonalizeColumn_Safe(BV bv,PetscInt j,PetscScalar *H,PetscReal *norm,PetscBool *lindep)
411: {
412: BVOrthogRefineType orthog_ref;
414: PetscInfo(bv,"Orthogonalizing column %" PetscInt_FMT " without refinement\n",j);
415: orthog_ref = bv->orthog_ref;
416: bv->orthog_ref = BV_ORTHOG_REFINE_NEVER; /* avoid refinement */
417: BVOrthogonalizeColumn(bv,j,H,NULL,NULL);
418: bv->orthog_ref = orthog_ref; /* restore refinement setting */
419: if (norm) *norm = 0.0;
420: if (lindep) *lindep = PETSC_TRUE;
421: PetscFunctionReturn(0);
422: }
424: #if defined(PETSC_HAVE_CUDA)
425: SLEPC_INTERN PetscErrorCode BV_CleanCoefficients_CUDA(BV,PetscInt,PetscScalar*);
426: SLEPC_INTERN PetscErrorCode BV_AddCoefficients_CUDA(BV,PetscInt,PetscScalar*,PetscScalar*);
427: SLEPC_INTERN PetscErrorCode BV_SetValue_CUDA(BV,PetscInt,PetscInt,PetscScalar*,PetscScalar);
428: SLEPC_INTERN PetscErrorCode BV_SquareSum_CUDA(BV,PetscInt,PetscScalar*,PetscReal*);
429: SLEPC_INTERN PetscErrorCode BV_ApplySignature_CUDA(BV,PetscInt,PetscScalar*,PetscBool);
430: SLEPC_INTERN PetscErrorCode BV_SquareRoot_CUDA(BV,PetscInt,PetscScalar*,PetscReal*);
431: SLEPC_INTERN PetscErrorCode BV_StoreCoefficients_CUDA(BV,PetscInt,PetscScalar*,PetscScalar*);
432: #define BV_CleanCoefficients(a,b,c) ((a)->cuda?BV_CleanCoefficients_CUDA:BV_CleanCoefficients_Default)((a),(b),(c))
433: #define BV_AddCoefficients(a,b,c,d) ((a)->cuda?BV_AddCoefficients_CUDA:BV_AddCoefficients_Default)((a),(b),(c),(d))
434: #define BV_SetValue(a,b,c,d,e) ((a)->cuda?BV_SetValue_CUDA:BV_SetValue_Default)((a),(b),(c),(d),(e))
435: #define BV_SquareSum(a,b,c,d) ((a)->cuda?BV_SquareSum_CUDA:BV_SquareSum_Default)((a),(b),(c),(d))
436: #define BV_ApplySignature(a,b,c,d) ((a)->cuda?BV_ApplySignature_CUDA:BV_ApplySignature_Default)((a),(b),(c),(d))
437: #define BV_SquareRoot(a,b,c,d) ((a)->cuda?BV_SquareRoot_CUDA:BV_SquareRoot_Default)((a),(b),(c),(d))
438: #define BV_StoreCoefficients(a,b,c,d) ((a)->cuda?BV_StoreCoefficients_CUDA:BV_StoreCoefficients_Default)((a),(b),(c),(d))
439: #else
440: #define BV_CleanCoefficients(a,b,c) BV_CleanCoefficients_Default((a),(b),(c))
441: #define BV_AddCoefficients(a,b,c,d) BV_AddCoefficients_Default((a),(b),(c),(d))
442: #define BV_SetValue(a,b,c,d,e) BV_SetValue_Default((a),(b),(c),(d),(e))
443: #define BV_SquareSum(a,b,c,d) BV_SquareSum_Default((a),(b),(c),(d))
444: #define BV_ApplySignature(a,b,c,d) BV_ApplySignature_Default((a),(b),(c),(d))
445: #define BV_SquareRoot(a,b,c,d) BV_SquareRoot_Default((a),(b),(c),(d))
446: #define BV_StoreCoefficients(a,b,c,d) BV_StoreCoefficients_Default((a),(b),(c),(d))
447: #endif /* PETSC_HAVE_CUDA */
449: #endif