GCC Code Coverage Report

Directory: ./
File: src/sys/slepccontour.c
Date: 2025-11-19 04:19:03
Exec Total Coverage
Lines: 119 122 97.5%
Functions: 7 7 100.0%
Branches: 328 526 62.4%
Line Branch Exec Source
1 /*
2 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
3 SLEPc - Scalable Library for Eigenvalue Problem Computations
4 Copyright (c) 2002-, Universitat Politecnica de Valencia, Spain
5
6 This file is part of SLEPc.
7 SLEPc is distributed under a 2-clause BSD license (see LICENSE).
8 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
9 */
10
11 #include <slepc/private/slepccontour.h>
12 #include <slepcblaslapack.h>
13
14 /*
15 SlepcContourDataCreate - Create a contour data structure.
16
17 Input Parameters:
18 n - the number of integration points
19 npart - number of partitions for the subcommunicator
20 parent - parent object
21 */
22 557 PetscErrorCode SlepcContourDataCreate(PetscInt n,PetscInt npart,PetscObject parent,SlepcContourData *contour)
23 {
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 557 PetscFunctionBegin;
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 557 PetscCall(PetscNew(contour));
26 557 (*contour)->parent = parent;
27
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 557 PetscCall(PetscSubcommCreate(PetscObjectComm(parent),&(*contour)->subcomm));
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 557 PetscCall(PetscSubcommSetNumber((*contour)->subcomm,npart));
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 557 PetscCall(PetscSubcommSetType((*contour)->subcomm,PETSC_SUBCOMM_INTERLACED));
30 557 (*contour)->npoints = n / npart;
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 557 if (n%npart > (*contour)->subcomm->color) (*contour)->npoints++;
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 116 PetscFunctionReturn(PETSC_SUCCESS);
33 }
34
35 /*
36 SlepcContourDataReset - Resets the KSP objects in a contour data structure,
37 and destroys any objects whose size depends on the problem size.
38 */
39 419 PetscErrorCode SlepcContourDataReset(SlepcContourData contour)
40 {
41 419 PetscInt i;
42
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 419 PetscFunctionBegin;
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 419 if (contour->ksp) {
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 9627 for (i=0;i<contour->npoints;i++) PetscCall(KSPReset(contour->ksp[i]));
46 }
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 419 if (contour->pA) {
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 174 PetscCall(MatDestroyMatrices(contour->nmat,&contour->pA));
49
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 174 PetscCall(MatDestroyMatrices(contour->nmat,&contour->pP));
50 174 contour->nmat = 0;
51 }
52
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 419 PetscCall(VecScatterDestroy(&contour->scatterin));
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 419 PetscCall(VecDestroy(&contour->xsub));
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 419 PetscCall(VecDestroy(&contour->xdup));
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 88 PetscFunctionReturn(PETSC_SUCCESS);
56 }
57
58 /*
59 SlepcContourDataDestroy - Destroys the contour data structure.
60 */
61 818 PetscErrorCode SlepcContourDataDestroy(SlepcContourData *contour)
62 {
63 818 PetscInt i;
64
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 818 PetscFunctionBegin;
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 818 if (!(*contour)) PetscFunctionReturn(PETSC_SUCCESS);
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 557 if ((*contour)->ksp) {
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 13461 for (i=0;i<(*contour)->npoints;i++) PetscCall(KSPDestroy(&(*contour)->ksp[i]));
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 557 PetscCall(PetscFree((*contour)->ksp));
70 }
71
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 557 PetscCall(PetscSubcommDestroy(&(*contour)->subcomm));
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 557 PetscCall(PetscFree((*contour)));
73 557 *contour = NULL;
74
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 557 PetscFunctionReturn(PETSC_SUCCESS);
75 }
76
77 /*
78 SlepcContourRedundantMat - Creates redundant copies of the passed matrices in the subcomm.
79
80 Input Parameters:
81 nmat - the number of matrices
82 A - array of matrices
83 P - array of matrices (preconditioner)
84 */
85 537 PetscErrorCode SlepcContourRedundantMat(SlepcContourData contour,PetscInt nmat,Mat *A,Mat *P)
86 {
87 537 PetscInt i;
88 537 MPI_Comm child;
89
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 537 PetscFunctionBegin;
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 537 if (contour->pA) {
92 ✗ PetscCall(MatDestroyMatrices(contour->nmat,&contour->pA));
93 ✗ PetscCall(MatDestroyMatrices(contour->nmat,&contour->pP));
94 ✗ contour->nmat = 0;
95 }
96
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 537 if (contour->subcomm && contour->subcomm->n != 1) {
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 174 PetscCall(PetscSubcommGetChild(contour->subcomm,&child));
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 174 PetscCall(PetscCalloc1(nmat,&contour->pA));
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 548 for (i=0;i<nmat;i++) PetscCall(MatCreateRedundantMatrix(A[i],contour->subcomm->n,child,MAT_INITIAL_MATRIX,&contour->pA[i]));
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 174 if (P) {
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 40 PetscCall(PetscCalloc1(nmat,&contour->pP));
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 140 for (i=0;i<nmat;i++) PetscCall(MatCreateRedundantMatrix(P[i],contour->subcomm->n,child,MAT_INITIAL_MATRIX,&contour->pP[i]));
103 }
104 174 contour->nmat = nmat;
105 }
106
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 112 PetscFunctionReturn(PETSC_SUCCESS);
107 }
108
109 /*
110 SlepcContourScatterCreate - Creates a scatter context to communicate between a
111 regular vector and a vector xdup that can hold one duplicate per each subcommunicator
112 on the contiguous parent communicator. Also creates auxiliary vectors xdup and xsub
113 (the latter with the same layout as the redundant matrices in the subcommunicator).
114
115 Input Parameters:
116 v - the regular vector from which dimensions are taken
117 */
118 174 PetscErrorCode SlepcContourScatterCreate(SlepcContourData contour,Vec v)
119 {
120 174 IS is1,is2;
121 174 PetscInt i,j,k,m,mstart,mend,mlocal;
122 174 PetscInt *idx1,*idx2,mloc_sub;
123 174 MPI_Comm contpar,parent;
124
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 174 PetscFunctionBegin;
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 174 PetscCall(VecDestroy(&contour->xsub));
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 174 PetscCall(MatCreateVecsEmpty(contour->pA[0],&contour->xsub,NULL));
128
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 174 PetscCall(VecDestroy(&contour->xdup));
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 174 PetscCall(MatGetLocalSize(contour->pA[0],&mloc_sub,NULL));
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 174 PetscCall(PetscSubcommGetContiguousParent(contour->subcomm,&contpar));
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 174 PetscCall(VecCreate(contpar,&contour->xdup));
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 174 PetscCall(VecSetSizes(contour->xdup,mloc_sub,PETSC_DECIDE));
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 174 PetscCall(VecSetType(contour->xdup,((PetscObject)v)->type_name));
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 174 PetscCall(VecScatterDestroy(&contour->scatterin));
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 174 PetscCall(VecGetSize(v,&m));
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 174 PetscCall(VecGetOwnershipRange(v,&mstart,&mend));
139 174 mlocal = mend - mstart;
140
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 174 PetscCall(PetscMalloc2(contour->subcomm->n*mlocal,&idx1,contour->subcomm->n*mlocal,&idx2));
141 j = 0;
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 562 for (k=0;k<contour->subcomm->n;k++) {
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 47708 for (i=mstart;i<mend;i++) {
144 47320 idx1[j] = i;
145 47320 idx2[j++] = i + m*k;
146 }
147 }
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 174 PetscCall(PetscSubcommGetParent(contour->subcomm,&parent));
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 174 PetscCall(ISCreateGeneral(parent,contour->subcomm->n*mlocal,idx1,PETSC_COPY_VALUES,&is1));
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 174 PetscCall(ISCreateGeneral(parent,contour->subcomm->n*mlocal,idx2,PETSC_COPY_VALUES,&is2));
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 174 PetscCall(VecScatterCreate(v,is1,contour->xdup,is2,&contour->scatterin));
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 174 PetscCall(ISDestroy(&is1));
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 174 PetscCall(ISDestroy(&is2));
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 174 PetscCall(PetscFree2(idx1,idx2));
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 38 PetscFunctionReturn(PETSC_SUCCESS);
156 }
157
158 /*
159 SlepcCISS_isGhost - Determine if any of the computed eigenpairs are spurious.
160
161 Input Parameters:
162 X - the matrix of eigenvectors (MATSEQDENSE)
163 n - the number of columns to consider
164 sigma - the singular values
165 thresh - threshold to decide whether a value is spurious
166
167 Output Parameter:
168 fl - array of n booleans
169 */
170 548 PetscErrorCode SlepcCISS_isGhost(Mat X,PetscInt n,PetscReal *sigma,PetscReal thresh,PetscBool *fl)
171 {
172 548 const PetscScalar *pX;
173 548 PetscInt i,j,m,ld;
174 548 PetscReal *tau,s1,s2,tau_max=0.0;
175
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 548 PetscFunctionBegin;
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 548 PetscCall(MatGetSize(X,&m,NULL));
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 548 PetscCall(MatDenseGetLDA(X,&ld));
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 548 PetscCall(PetscMalloc1(n,&tau));
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 548 PetscCall(MatDenseGetArrayRead(X,&pX));
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 15893 for (j=0;j<n;j++) {
182 s1 = 0.0;
183 s2 = 0.0;
184
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 859546 for (i=0;i<m;i++) {
185 844201 s1 += PetscAbsScalar(PetscPowScalarInt(pX[i+j*ld],2));
186 1688402 s2 += PetscPowRealInt(PetscAbsScalar(pX[i+j*ld]),2)/sigma[i];
187 }
188 15345 tau[j] = s1/s2;
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 17536 tau_max = PetscMax(tau_max,tau[j]);
190 }
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 548 PetscCall(MatDenseRestoreArrayRead(X,&pX));
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 15893 for (j=0;j<n;j++) fl[j] = (tau[j]>=thresh*tau_max)? PETSC_TRUE: PETSC_FALSE;
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 548 PetscCall(PetscFree(tau));
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 114 PetscFunctionReturn(PETSC_SUCCESS);
195 }
196
197 /*
198 SlepcCISS_BH_SVD - Compute SVD of block Hankel matrix and its rank.
199
200 Input Parameters:
201 H - block Hankel matrix obtained via CISS_BlockHankel()
202 ml - dimension of rows and columns, equal to M*L
203 delta - the tolerance used to determine the rank
204
205 Output Parameters:
206 sigma - computed singular values
207 rank - the rank of H
208 */
209 160 PetscErrorCode SlepcCISS_BH_SVD(PetscScalar *H,PetscInt ml,PetscReal delta,PetscReal *sigma,PetscInt *rank)
210 {
211 160 PetscInt i;
212 160 PetscBLASInt m,n,lda,ldu,ldvt,lwork,info;
213 160 PetscScalar *work;
214 #if defined(PETSC_USE_COMPLEX)
215 128 PetscReal *rwork;
216 #endif
217
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 160 PetscFunctionBegin;
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 160 PetscCall(PetscMalloc1(5*ml,&work));
220 #if defined(PETSC_USE_COMPLEX)
221
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 128 PetscCall(PetscMalloc1(5*ml,&rwork));
222 #endif
223
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 160 PetscCall(PetscBLASIntCast(ml,&m));
224 160 n = m; lda = m; ldu = m; ldvt = m; lwork = 5*m;
225
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 160 PetscCall(PetscFPTrapPush(PETSC_FP_TRAP_OFF));
226 #if defined(PETSC_USE_COMPLEX)
227
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 128 PetscCallBLAS("LAPACKgesvd",LAPACKgesvd_("N","N",&m,&n,H,&lda,sigma,NULL,&ldu,NULL,&ldvt,work,&lwork,rwork,&info));
228 #else
229
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 32 PetscCallBLAS("LAPACKgesvd",LAPACKgesvd_("N","N",&m,&n,H,&lda,sigma,NULL,&ldu,NULL,&ldvt,work,&lwork,&info));
230 #endif
231
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 160 SlepcCheckLapackInfo("gesvd",info);
232
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 160 PetscCall(PetscFPTrapPop());
233 160 (*rank) = 0;
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 9856 for (i=0;i<ml;i++) {
235
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 19000 if (sigma[i]/PetscMax(sigma[0],1.0)>delta) (*rank)++;
236 }
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 160 PetscCall(PetscFree(work));
238 #if defined(PETSC_USE_COMPLEX)
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 128 PetscCall(PetscFree(rwork));
240 #endif
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 32 PetscFunctionReturn(PETSC_SUCCESS);
242 }
243