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/*
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- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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SLEPc - Scalable Library for Eigenvalue Problem Computations
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Copyright (c) 2002-2010, Universidad Politecnica de Valencia, Spain
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This file is part of SLEPc.
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SLEPc is free software: you can redistribute it and/or modify it under the
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terms of version 3 of the GNU Lesser General Public License as published by
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the Free Software Foundation.
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SLEPc is distributed in the hope that it will be useful, but WITHOUT ANY
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WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for
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more details.
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You should have received a copy of the GNU Lesser General Public License
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along with SLEPc. If not, see <http://www.gnu.org/licenses/>.
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*/
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static char help[] = "Tests matdense interface.\n\n";
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#include <slepcmatdense.h>
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#undef __FUNCT__
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#define __FUNCT__ "main"
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int main( int argc, char **argv )
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{
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MatDense A,B,C; /* matrices */
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PetscScalar *v;
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PetscInt n=45,m,i,j,its,M,reps=1;
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PetscBool flag;
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Vec *vecs0,*vecs1,t,*vecso;
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PetscLogStage saxpy,smult,supdate,supdateo;
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PetscErrorCode ierr;
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SlepcInitialize(&argc,&argv,(char*)0,help);
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ierr = PetscOptionsGetInt(PETSC_NULL,"-n",&n,PETSC_NULL);CHKERRQ(ierr);
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ierr = PetscOptionsGetInt(PETSC_NULL,"-m",&m,&flag);CHKERRQ(ierr);
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if(!flag) m=n;
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M = PetscMax(m,n);
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ierr = PetscOptionsGetInt(PETSC_NULL,"-r",&reps,&flag);CHKERRQ(ierr);
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ierr = PetscPrintf(PETSC_COMM_WORLD,"\nDense matrices of size %Dx%D\n\n",m,n);CHKERRQ(ierr);
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/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Initialize vectors
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ierr = VecCreate(PETSC_COMM_WORLD,&t);CHKERRQ(ierr);
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ierr = VecSetSizes(t,PETSC_DECIDE,m);CHKERRQ(ierr);
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ierr = VecSetFromOptions(t);CHKERRQ(ierr);
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ierr = VecDuplicateVecs(t,n,&vecso);CHKERRQ(ierr);
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ierr = SlepcVecSetTemplate(t);CHKERRQ(ierr);
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ierr = VecDuplicateVecs(t,n,&vecs0);CHKERRQ(ierr);
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ierr = VecDuplicateVecs(t,n,&vecs1);CHKERRQ(ierr);
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ierr = VecGetLocalSize(t,&m);CHKERRQ(ierr);
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ierr = VecDestroy(&t);CHKERRQ(ierr);
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for (i=0;i<n;i++) { ierr = VecSetRandom(vecs0[i],PETSC_NULL);CHKERRQ(ierr); }
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for (i=0;i<n;i++) { ierr = VecSetRandom(vecs1[i],PETSC_NULL);CHKERRQ(ierr); }
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for (i=0;i<n;i++) { ierr = VecSetRandom(vecso[i],PETSC_NULL);CHKERRQ(ierr); }
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/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Create matrices
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ierr = MatDenseCreate(PETSC_COMM_WORLD,&A);CHKERRQ(ierr);
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ierr = MatDenseSetMaxSizes(A,m,n);CHKERRQ(ierr);
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ierr = MatDenseSetSizes(A,0,0,m,n);CHKERRQ(ierr);
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ierr = MatDenseSetFromOptions(A);CHKERRQ(ierr);
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ierr = MatDenseSetUpPreallocation(A);CHKERRQ(ierr);
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ierr = MatDenseDuplicate(A,MATDENSE_DO_NOT_COPY_VALUES,&B);CHKERRQ(ierr);
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ierr = MatDenseSetFromOptions(B);CHKERRQ(ierr);
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ierr = MatDenseSetUpPreallocation(B);CHKERRQ(ierr);
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ierr = MatDenseCreate(PETSC_COMM_WORLD,&C);CHKERRQ(ierr);
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ierr = MatDenseSetMaxSizes(C,M,M);CHKERRQ(ierr);
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ierr = MatDenseSetFromOptions(C);CHKERRQ(ierr);
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ierr = MatDenseSetUpPreallocation(C);CHKERRQ(ierr);
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/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Initialize matrices
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ierr = MatDenseGetArray(A,&v);CHKERRQ(ierr);
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for (j=0; j<n; j++) {
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for (i=0; i<m; i++) {
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v[m*j+i] = 1.0;
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}
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}
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ierr = MatDenseRestoreArray(A,&v);CHKERRQ(ierr);
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ierr = MatDenseGetArray(B,&v);CHKERRQ(ierr);
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for (j=0; j<n; j++) {
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for (i=0; i<m; i++) {
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v[m*j+i] = i & 1 ? 1.0 : -1.0;
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}
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}
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ierr = MatDenseRestoreArray(B,&v);CHKERRQ(ierr);
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/* - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
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Test operations
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ierr = PetscLogStageRegister("AXPY",&saxpy);CHKERRQ(ierr);
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ierr = PetscLogStagePush(saxpy);CHKERRQ(ierr);
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for (i=0; i<reps; i++) { ierr = MatDenseAXPY(B,1.0,A);CHKERRQ(ierr); }
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for (i=0; i<reps; i++) {
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for (j=0; j<n; j++) { ierr = VecAXPY(vecs0[j],1.0,vecs1[j]);CHKERRQ(ierr); }
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}
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PetscLogStagePop();
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ierr = PetscLogStageRegister("MatMult",&smult);CHKERRQ(ierr);
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ierr = PetscLogStagePush(smult);CHKERRQ(ierr);
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ierr = MatDenseSetSizes(C,0,0,n,n);CHKERRQ(ierr);
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for (i=0; i<reps; i++) { ierr = MatDenseMatMult(C,1.0,0.0,A,PETSC_TRUE,B,PETSC_FALSE);CHKERRQ(ierr); }
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ierr = MatDenseGetArray(C,&v);CHKERRQ(ierr);
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for (i=0; i<reps; i++) {
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for (j=0; j<n; j++) { ierr = VecMDot(vecs0[j],n,vecs1,&v[n*j]);CHKERRQ(ierr); }
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}
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ierr = MatDenseRestoreArray(C,&v);CHKERRQ(ierr);
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PetscLogStagePop();
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ierr = PetscLogStageRegister("Update",&supdate);CHKERRQ(ierr);
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ierr = PetscLogStagePush(supdate);CHKERRQ(ierr);
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ierr = MatDenseSetSizes(C,0,0,n,n);CHKERRQ(ierr);
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ierr = MatDenseGetArray(C,&v);CHKERRQ(ierr);
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for (i=0; i<reps; i++) {
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ierr = SlepcUpdateVectors(n,vecs0,0,n,v,m,PETSC_FALSE);CHKERRQ(ierr);
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for (j=0; j<n; j++) { ierr = VecAXPY(vecs0[j],1.0,vecs1[j]);CHKERRQ(ierr); }
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}
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ierr = MatDenseRestoreArray(C,&v);CHKERRQ(ierr);
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PetscLogStagePop();
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ierr = PetscLogStageRegister("Update Orig.",&supdateo);CHKERRQ(ierr);
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ierr = PetscLogStagePush(supdateo);CHKERRQ(ierr);
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ierr = MatDenseSetSizes(C,0,0,n,n);CHKERRQ(ierr);
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ierr = MatDenseGetArray(C,&v);CHKERRQ(ierr);
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for (i=0; i<reps; i++) {
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ierr = SlepcUpdateVectors(n,vecso,0,n,v,m,PETSC_FALSE);CHKERRQ(ierr);
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for (j=0; j<n; j++) { ierr = VecAXPY(vecso[j],1.0,vecs1[j]);CHKERRQ(ierr); }
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}
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ierr = MatDenseRestoreArray(C,&v);CHKERRQ(ierr);
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PetscLogStagePop();
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ierr = MatDenseDestroy(&A);CHKERRQ(ierr);
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ierr = MatDenseDestroy(&B);CHKERRQ(ierr);
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ierr = MatDenseDestroy(&C);CHKERRQ(ierr);
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ierr = VecDestroyVecs(n,&vecs0);CHKERRQ(ierr);
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ierr = VecDestroyVecs(n,&vecs1);CHKERRQ(ierr);
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ierr = VecDestroyVecs(n,&vecso);CHKERRQ(ierr);
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ierr = SlepcFinalize();CHKERRQ(ierr);
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return 0;
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}
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