Date: 2015-10-02T22:21:37+00:00

Actual source code: ibcgs.c
petsc-3.6.2 2015-10-02
Report Typos and Errors

      2: #include <petsc/private/kspimpl.h>
      3: #include <petsc/private/vecimpl.h>

      7: static PetscErrorCode KSPSetUp_IBCGS(KSP ksp)
      8: {
     10:   PetscBool      diagonalscale;

     13:   PCGetDiagonalScale(ksp->pc,&diagonalscale);
     14:   if (diagonalscale) SETERRQ1(PetscObjectComm((PetscObject)ksp),PETSC_ERR_SUP,"Krylov method %s does not support diagonal scaling",((PetscObject)ksp)->type_name);
     15:   KSPSetWorkVecs(ksp,9);
     16:   return(0);
     17: }

     19: /*
     20:     The code below "cheats" from PETSc style
     21:        1) VecRestoreArray() is called immediately after VecGetArray() and the array values are still accessed; the reason for the immediate
     22:           restore is that Vec operations are done on some of the vectors during the solve and if we did not restore immediately it would
     23:           generate two VecGetArray() (the second one inside the Vec operation) calls without a restore between them.
     24:        2) The vector operations on done directly on the arrays instead of with VecXXXX() calls

     26:        For clarity in the code we name single VECTORS with two names, for example, Rn_1 and R, but they actually always
     27:      the exact same memory. We do this with macro defines so that compiler won't think they are
     28:      two different variables.

     30: */
     31: #define Xn_1 Xn
     32: #define xn_1 xn
     33: #define Rn_1 Rn
     34: #define rn_1 rn
     35: #define Un_1 Un
     36: #define un_1 un
     37: #define Vn_1 Vn
     38: #define vn_1 vn
     39: #define Qn_1 Qn
     40: #define qn_1 qn
     41: #define Zn_1 Zn
     42: #define zn_1 zn
     45: static PetscErrorCode  KSPSolve_IBCGS(KSP ksp)
     46: {
     48:   PetscInt       i,N;
     49:   PetscReal      rnorm,rnormin = 0.0;
     50: #if defined(PETSC_HAVE_MPI_LONG_DOUBLE) && !defined(PETSC_USE_COMPLEX) && (defined(PETSC_USE_REAL_SINGLE) || defined(PETSC_USE_REAL_DOUBLE))
     51:   /* Because of possible instabilities in the algorithm (as indicated by different residual histories for the same problem
     52:      on the same number of processes  with different runs) we support computing the inner products using Intel's 80 bit arithematic
     53:      rather than just 64 bit. Thus we copy our double precision values into long doubles (hoping this keeps the 16 extra bits)
     54:      and tell MPI to do its ALlreduces with MPI_LONG_DOUBLE.

     56:      Note for developers that does not effect the code. Intel's long double is implemented by storing the 80 bits of extended double
     57:      precision into a 16 byte space (the rest of the space is ignored)  */
     58:   long double insums[7],outsums[7];
     59: #else
     60:   PetscScalar insums[7],outsums[7];
     61: #endif
     62:   PetscScalar                       sigman_2, sigman_1, sigman, pin_1, pin, phin_1, phin,tmp1,tmp2;
     63:   PetscScalar                       taun_1, taun, rhon, alphan_1, alphan, omegan_1, omegan;
     64:   const PetscScalar *PETSC_RESTRICT r0, *PETSC_RESTRICT f0, *PETSC_RESTRICT qn, *PETSC_RESTRICT b, *PETSC_RESTRICT un;
     65:   PetscScalar *PETSC_RESTRICT       rn, *PETSC_RESTRICT xn, *PETSC_RESTRICT vn, *PETSC_RESTRICT zn;
     66:   /* the rest do not have to keep n_1 values */
     67:   PetscScalar                       kappan, thetan, etan, gamman, betan, deltan;
     68:   const PetscScalar *PETSC_RESTRICT tn;
     69:   PetscScalar *PETSC_RESTRICT       sn;
     70:   Vec                               R0,Rn,Xn,F0,Vn,Zn,Qn,Tn,Sn,B,Un;
     71:   Mat                               A;

     74:   if (!ksp->vec_rhs->petscnative) SETERRQ(PetscObjectComm((PetscObject)ksp),PETSC_ERR_SUP,"Only coded for PETSc vectors");

     76:   PCGetOperators(ksp->pc,&A,NULL);
     77:   VecGetLocalSize(ksp->vec_sol,&N);
     78:   Xn   = ksp->vec_sol; VecGetArray(Xn_1,(PetscScalar**)&xn_1); VecRestoreArray(Xn_1,NULL);
     79:   B    = ksp->vec_rhs; VecGetArrayRead(B,(const PetscScalar**)&b); VecRestoreArrayRead(B,NULL);
     80:   R0   = ksp->work[0]; VecGetArrayRead(R0,(const PetscScalar**)&r0); VecRestoreArrayRead(R0,NULL);
     81:   Rn   = ksp->work[1]; VecGetArray(Rn_1,(PetscScalar**)&rn_1); VecRestoreArray(Rn_1,NULL);
     82:   Un   = ksp->work[2]; VecGetArrayRead(Un_1,(const PetscScalar**)&un_1); VecRestoreArrayRead(Un_1,NULL);
     83:   F0   = ksp->work[3]; VecGetArrayRead(F0,(const PetscScalar**)&f0); VecRestoreArrayRead(F0,NULL);
     84:   Vn   = ksp->work[4]; VecGetArray(Vn_1,(PetscScalar**)&vn_1); VecRestoreArray(Vn_1,NULL);
     85:   Zn   = ksp->work[5]; VecGetArray(Zn_1,(PetscScalar**)&zn_1); VecRestoreArray(Zn_1,NULL);
     86:   Qn   = ksp->work[6]; VecGetArrayRead(Qn_1,(const PetscScalar**)&qn_1); VecRestoreArrayRead(Qn_1,NULL);
     87:   Tn   = ksp->work[7]; VecGetArrayRead(Tn,(const PetscScalar**)&tn); VecRestoreArrayRead(Tn,NULL);
     88:   Sn   = ksp->work[8]; VecGetArrayRead(Sn,(const PetscScalar**)&sn); VecRestoreArrayRead(Sn,NULL);

     90:   /* r0 = rn_1 = b - A*xn_1; */
     91:   /* KSP_PCApplyBAorAB(ksp,Xn_1,Rn_1,Tn);
     92:      VecAYPX(Rn_1,-1.0,B); */
     93:   KSPInitialResidual(ksp,Xn_1,Tn,Sn,Rn_1,B);

     95:   VecNorm(Rn_1,NORM_2,&rnorm);
     96:   KSPMonitor(ksp,0,rnorm);
     97:   (*ksp->converged)(ksp,0,rnorm,&ksp->reason,ksp->cnvP);
     98:   if (ksp->reason) return(0);

    100:   VecCopy(Rn_1,R0);

    102:   /* un_1 = A*rn_1; */
    103:   KSP_PCApplyBAorAB(ksp,Rn_1,Un_1,Tn);

    105:   /* f0   = A'*rn_1; */
    106:   if (ksp->pc_side == PC_RIGHT) { /* B' A' */
    107:     KSP_MatMultTranspose(ksp,A,R0,Tn);
    108:     KSP_PCApplyTranspose(ksp,Tn,F0);
    109:   } else if (ksp->pc_side == PC_LEFT) { /* A' B' */
    110:     KSP_PCApplyTranspose(ksp,R0,Tn);
    111:     KSP_MatMultTranspose(ksp,A,Tn,F0);
    112:   }

    114:   /*qn_1 = vn_1 = zn_1 = 0.0; */
    115:   VecSet(Qn_1,0.0);
    116:   VecSet(Vn_1,0.0);
    117:   VecSet(Zn_1,0.0);

    119:   sigman_2 = pin_1 = taun_1 = 0.0;

    121:   /* the paper says phin_1 should be initialized to zero, it is actually R0'R0 */
    122:   VecDot(R0,R0,&phin_1);

    124:   /* sigman_1 = rn_1'un_1  */
    125:   VecDot(R0,Un_1,&sigman_1);

    127:   alphan_1 = omegan_1 = 1.0;

    129:   for (ksp->its = 1; ksp->its<ksp->max_it+1; ksp->its++) {
    130:     rhon = phin_1 - omegan_1*sigman_2 + omegan_1*alphan_1*pin_1;
    131:     if (ksp->its == 1) deltan = rhon;
    132:     else deltan = rhon/taun_1;
    133:     betan = deltan/omegan_1;
    134:     taun  = sigman_1 + betan*taun_1  - deltan*pin_1;
    135:     if (taun == 0.0) {
    136:       if (ksp->errorifnotconverged) SETERRQ1(PetscObjectComm((PetscObject)ksp),PETSC_ERR_NOT_CONVERGED,"KSPSolve has not converged due to taun is zero, iteration %D",ksp->its);
    137:       else {
    138:         ksp->reason = KSP_DIVERGED_NANORINF;
    139:         return(0);
    140:       }
    141:     }
    142:     alphan = rhon/taun;
    143:     PetscLogFlops(15.0);

    145:     /*
    146:         zn = alphan*rn_1 + (alphan/alphan_1)betan*zn_1 - alphan*deltan*vn_1
    147:         vn = un_1 + betan*vn_1 - deltan*qn_1
    148:         sn = rn_1 - alphan*vn

    150:        The algorithm in the paper is missing the alphan/alphan_1 term in the zn update
    151:     */
    152:     PetscLogEventBegin(VEC_Ops,0,0,0,0);
    153:     tmp1 = (alphan/alphan_1)*betan;
    154:     tmp2 = alphan*deltan;
    155:     for (i=0; i<N; i++) {
    156:       zn[i] = alphan*rn_1[i] + tmp1*zn_1[i] - tmp2*vn_1[i];
    157:       vn[i] = un_1[i] + betan*vn_1[i] - deltan*qn_1[i];
    158:       sn[i] = rn_1[i] - alphan*vn[i];
    159:     }
    160:     PetscLogFlops(3.0+11.0*N);
    161:     PetscLogEventEnd(VEC_Ops,0,0,0,0);

    163:     /*
    164:         qn = A*vn
    165:     */
    166:     KSP_PCApplyBAorAB(ksp,Vn,Qn,Tn);

    168:     /*
    169:         tn = un_1 - alphan*qn
    170:     */
    171:     VecWAXPY(Tn,-alphan,Qn,Un_1);

    174:     /*
    175:         phin = r0'sn
    176:         pin  = r0'qn
    177:         gamman = f0'sn
    178:         etan   = f0'tn
    179:         thetan = sn'tn
    180:         kappan = tn'tn
    181:     */
    182:     PetscLogEventBegin(VEC_ReduceArithmetic,0,0,0,0);
    183:     phin = pin = gamman = etan = thetan = kappan = 0.0;
    184:     for (i=0; i<N; i++) {
    185:       phin   += r0[i]*sn[i];
    186:       pin    += r0[i]*qn[i];
    187:       gamman += f0[i]*sn[i];
    188:       etan   += f0[i]*tn[i];
    189:       thetan += sn[i]*tn[i];
    190:       kappan += tn[i]*tn[i];
    191:     }
    192:     PetscLogFlops(12.0*N);
    193:     PetscLogEventEnd(VEC_ReduceArithmetic,0,0,0,0);

    195:     insums[0] = phin;
    196:     insums[1] = pin;
    197:     insums[2] = gamman;
    198:     insums[3] = etan;
    199:     insums[4] = thetan;
    200:     insums[5] = kappan;
    201:     insums[6] = rnormin;

    203:     PetscLogEventBarrierBegin(VEC_ReduceBarrier,0,0,0,0,PetscObjectComm((PetscObject)ksp));
    204: #if defined(PETSC_HAVE_MPI_LONG_DOUBLE) && !defined(PETSC_USE_COMPLEX) && (defined(PETSC_USE_REAL_SINGLE) || defined(PETSC_USE_REAL_DOUBLE))
    205:     if (ksp->lagnorm && ksp->its > 1) {
    206:       MPI_Allreduce(insums,outsums,7,MPI_LONG_DOUBLE,MPI_SUM,PetscObjectComm((PetscObject)ksp));
    207:     } else {
    208:       MPI_Allreduce(insums,outsums,6,MPI_LONG_DOUBLE,MPI_SUM,PetscObjectComm((PetscObject)ksp));
    209:     }
    210: #else
    211:     if (ksp->lagnorm && ksp->its > 1) {
    212:       MPI_Allreduce(insums,outsums,7,MPIU_SCALAR,MPIU_SUM,PetscObjectComm((PetscObject)ksp));
    213:     } else {
    214:       MPI_Allreduce(insums,outsums,6,MPIU_SCALAR,MPIU_SUM,PetscObjectComm((PetscObject)ksp));
    215:     }
    216: #endif
    217:     PetscLogEventBarrierEnd(VEC_ReduceBarrier,0,0,0,0,PetscObjectComm((PetscObject)ksp));
    218:     phin   = outsums[0];
    219:     pin    = outsums[1];
    220:     gamman = outsums[2];
    221:     etan   = outsums[3];
    222:     thetan = outsums[4];
    223:     kappan = outsums[5];
    224:     if (ksp->lagnorm && ksp->its > 1) rnorm = PetscSqrtReal(PetscRealPart(outsums[6]));

    226:     if (kappan == 0.0) {
    227:       if (ksp->errorifnotconverged) SETERRQ1(PetscObjectComm((PetscObject)ksp),PETSC_ERR_NOT_CONVERGED,"KSPSolve has not converged due to kappan is zero, iteration %D",ksp->its);
    228:       else {
    229:         ksp->reason = KSP_DIVERGED_NANORINF;
    230:         return(0);
    231:       }
    232:     }
    233:     if (thetan == 0.0) {
    234:       if (ksp->errorifnotconverged) SETERRQ1(PetscObjectComm((PetscObject)ksp),PETSC_ERR_NOT_CONVERGED,"KSPSolve has not converged due to thetan is zero, iteration %D",ksp->its);
    235:       else {
    236:         ksp->reason = KSP_DIVERGED_NANORINF;
    237:         return(0);
    238:       }
    239:     }
    240:     omegan = thetan/kappan;
    241:     sigman = gamman - omegan*etan;

    243:     /*
    244:         rn = sn - omegan*tn
    245:         xn = xn_1 + zn + omegan*sn
    246:     */
    247:     PetscLogEventBegin(VEC_Ops,0,0,0,0);
    248:     rnormin = 0.0;
    249:     for (i=0; i<N; i++) {
    250:       rn[i]    = sn[i] - omegan*tn[i];
    251:       rnormin += PetscRealPart(PetscConj(rn[i])*rn[i]);
    252:       xn[i]   += zn[i] + omegan*sn[i];
    253:     }
    254:     PetscObjectStateIncrease((PetscObject)Xn);
    255:     PetscLogFlops(7.0*N);
    256:     PetscLogEventEnd(VEC_Ops,0,0,0,0);

    258:     if (!ksp->lagnorm && ksp->chknorm < ksp->its) {
    259:       PetscLogEventBarrierBegin(VEC_ReduceBarrier,0,0,0,0,PetscObjectComm((PetscObject)ksp));
    260:       MPI_Allreduce(&rnormin,&rnorm,1,MPIU_REAL,MPIU_SUM,PetscObjectComm((PetscObject)ksp));
    261:       PetscLogEventBarrierEnd(VEC_ReduceBarrier,0,0,0,0,PetscObjectComm((PetscObject)ksp));
    262:       rnorm = PetscSqrtReal(rnorm);
    263:     }

    265:     /* Test for convergence */
    266:     KSPMonitor(ksp,ksp->its,rnorm);
    267:     (*ksp->converged)(ksp,ksp->its,rnorm,&ksp->reason,ksp->cnvP);
    268:     if (ksp->reason) break;

    270:     /* un = A*rn */
    271:     KSP_PCApplyBAorAB(ksp,Rn,Un,Tn);

    273:     /* Update n-1 locations with n locations */
    274:     sigman_2 = sigman_1;
    275:     sigman_1 = sigman;
    276:     pin_1    = pin;
    277:     phin_1   = phin;
    278:     alphan_1 = alphan;
    279:     taun_1   = taun;
    280:     omegan_1 = omegan;
    281:   }
    282:   if (ksp->its >= ksp->max_it) ksp->reason = KSP_DIVERGED_ITS;
    283:   KSPUnwindPreconditioner(ksp,Xn,Tn);
    284:   return(0);
    285: }

    288: /*MC
    289:      KSPIBCGS - Implements the IBiCGStab (Improved Stabilized version of BiConjugate Gradient Squared) method
    290:             in an alternative form to have only a single global reduction operation instead of the usual 3 (or 4)

    292:    Options Database Keys:
    293: .   see KSPSolve()

    295:    Level: beginner

    297:    Notes: Supports left and right preconditioning

    299:           See KSPBCGSL for additional stabilization

    301:           Unlike the Bi-CG-stab algorithm, this requires one multiplication be the transpose of the operator
    302:            before the iteration starts.

    304:           The paper has two errors in the algorithm presented, they are fixed in the code in KSPSolve_IBCGS()

    306:           For maximum reduction in the number of global reduction operations, this solver should be used with
    307:           KSPSetLagNorm().

    309:           This is not supported for complex numbers.

    311:    Reference: The Improved BiCGStab Method for Large and Sparse Unsymmetric Linear Systems on Parallel Distributed Memory
    312:                      Architectures. L. T. Yang and R. Brent, Proceedings of the Fifth International Conference on Algorithms and
    313:                      Architectures for Parallel Processing, 2002, IEEE.

    315: .seealso:  KSPCreate(), KSPSetType(), KSPType (for list of available types), KSP, KSPBICG, KSPBCGSL, KSPIBCGS, KSPSetLagNorm()
    316: M*/

    320: PETSC_EXTERN PetscErrorCode KSPCreate_IBCGS(KSP ksp)
    321: {

    325:   ksp->data = (void*)0;

    327:   KSPSetSupportedNorm(ksp,KSP_NORM_PRECONDITIONED,PC_LEFT,3);
    328:   KSPSetSupportedNorm(ksp,KSP_NORM_UNPRECONDITIONED,PC_RIGHT,2);

    330:   ksp->ops->setup          = KSPSetUp_IBCGS;
    331:   ksp->ops->solve          = KSPSolve_IBCGS;
    332:   ksp->ops->destroy        = KSPDestroyDefault;
    333:   ksp->ops->buildsolution  = KSPBuildSolutionDefault;
    334:   ksp->ops->buildresidual  = KSPBuildResidualDefault;
    335:   ksp->ops->setfromoptions = 0;
    336:   ksp->ops->view           = 0;
    337: #if defined(PETSC_USE_COMPLEX)
    338:   SETERRQ(PetscObjectComm((PetscObject)ksp),PETSC_ERR_SUP,"This is not supported for complex numbers");
    339: #endif
    340:   return(0);
    341: }