xref: /petsc/src/ksp/ksp/impls/bcgs/fbcgsr/fbcgsr.c (revision bbd56ea5790821d2a217d362e8e9710702952333)
1 
2 /*
3     This file implements FBiCGStab-R.
4     Only allow right preconditioning.
5     FBiCGStab-R is a mathematically equivalent variant of FBiCGStab. Differences are:
6       (1) There are fewer MPI_Allreduce calls.
7       (2) The convergence occasionally is much faster than that of FBiCGStab.
8 */
9 #include <../src/ksp/ksp/impls/bcgs/bcgsimpl.h>       /*I  "petscksp.h"  I*/
10 
11 #undef __FUNCT__
12 #define __FUNCT__ "KSPSetUp_FBCGSR"
13 PetscErrorCode KSPSetUp_FBCGSR(KSP ksp)
14 {
15   PetscErrorCode ierr;
16 
17   PetscFunctionBegin;
18   ierr = KSPDefaultGetWork(ksp,8);CHKERRQ(ierr);
19   PetscFunctionReturn(0);
20 }
21 
22 #include <petsc-private/pcimpl.h>            /*I "petscksp.h" I*/
23 #undef __FUNCT__
24 #define __FUNCT__ "KSPSolve_FBCGSR"
25 PetscErrorCode  KSPSolve_FBCGSR(KSP ksp)
26 {
27   PetscErrorCode    ierr;
28   PetscInt          i,j,N;
29   PetscScalar       tau,sigma,alpha,omega,beta;
30   PetscReal         rho;
31   PetscScalar       xi1,xi2,xi3,xi4;
32   Vec               X,B,P,P2,RP,R,V,S,T,S2;
33   PetscScalar       *PETSC_RESTRICT rp, *PETSC_RESTRICT r, *PETSC_RESTRICT p;
34   PetscScalar       *PETSC_RESTRICT v, *PETSC_RESTRICT s, *PETSC_RESTRICT t, *PETSC_RESTRICT s2;
35   PetscScalar       insums[4],outsums[4];
36   KSP_BCGS          *bcgs = (KSP_BCGS*)ksp->data;
37   PC                pc;
38 
39   PetscFunctionBegin;
40   if (!ksp->vec_rhs->petscnative) SETERRQ(((PetscObject)ksp)->comm,PETSC_ERR_SUP,"Only coded for PETSc vectors");
41   ierr = VecGetLocalSize(ksp->vec_sol,&N);CHKERRQ(ierr);
42 
43   X   = ksp->vec_sol;
44   B   = ksp->vec_rhs;
45   P2  = ksp->work[0];
46 
47   /* The followings are involved in modified inner product calculations and vector updates */
48   RP  = ksp->work[1]; ierr = VecGetArray(RP,(PetscScalar**)&rp);CHKERRQ(ierr); ierr = VecRestoreArray(RP,PETSC_NULL);CHKERRQ(ierr);
49   R   = ksp->work[2]; ierr = VecGetArray(R,(PetscScalar**)&r);CHKERRQ(ierr);   ierr = VecRestoreArray(R,PETSC_NULL);CHKERRQ(ierr);
50   P   = ksp->work[3]; ierr = VecGetArray(P,(PetscScalar**)&p);CHKERRQ(ierr);   ierr = VecRestoreArray(P,PETSC_NULL);CHKERRQ(ierr);
51   V   = ksp->work[4]; ierr = VecGetArray(V,(PetscScalar**)&v);CHKERRQ(ierr);   ierr = VecRestoreArray(V,PETSC_NULL);CHKERRQ(ierr);
52   S   = ksp->work[5]; ierr = VecGetArray(S,(PetscScalar**)&s);CHKERRQ(ierr);   ierr = VecRestoreArray(S,PETSC_NULL);CHKERRQ(ierr);
53   T   = ksp->work[6]; ierr = VecGetArray(T,(PetscScalar**)&t);CHKERRQ(ierr);   ierr = VecRestoreArray(T,PETSC_NULL);CHKERRQ(ierr);
54   S2  = ksp->work[7]; ierr = VecGetArray(S2,(PetscScalar**)&s2);CHKERRQ(ierr); ierr = VecRestoreArray(S2,PETSC_NULL);CHKERRQ(ierr);
55 
56   /* Only supports right preconditioning */
57   if (ksp->pc_side != PC_RIGHT) SETERRQ1(((PetscObject)ksp)->comm,PETSC_ERR_SUP,"KSP fbcgsr does not support %s",PCSides[ksp->pc_side]);
58   if (!ksp->guess_zero) {
59     if (!bcgs->guess) {
60       ierr = VecDuplicate(X,&bcgs->guess);CHKERRQ(ierr);
61     }
62     ierr = VecCopy(X,bcgs->guess);CHKERRQ(ierr);
63   } else {
64     ierr = VecSet(X,0.0);CHKERRQ(ierr);
65   }
66 
67   /* Compute initial residual */
68   ierr = KSPGetPC(ksp,&pc);CHKERRQ(ierr);
69   ierr = PCSetUp(pc);CHKERRQ(ierr);
70   if (!ksp->guess_zero) {
71     ierr = MatMult(pc->mat,X,P2);CHKERRQ(ierr); /* P2 is used as temporary storage */
72     ierr = VecCopy(B,R);CHKERRQ(ierr);
73     ierr = VecAXPY(R,-1.0,P2);CHKERRQ(ierr);
74   } else {
75     ierr = VecCopy(B,R);CHKERRQ(ierr);
76   }
77 
78   /* Test for nothing to do */
79   if (ksp->normtype != KSP_NORM_NONE) {
80     ierr = VecNorm(R,NORM_2,&rho);CHKERRQ(ierr);
81   }
82   ierr = PetscObjectTakeAccess(ksp);CHKERRQ(ierr);
83   ksp->its   = 0;
84   ksp->rnorm = rho;
85   ierr = PetscObjectGrantAccess(ksp);CHKERRQ(ierr);
86   KSPLogResidualHistory(ksp,rho);
87   ierr = KSPMonitor(ksp,0,rho);CHKERRQ(ierr);
88   ierr = (*ksp->converged)(ksp,0,rho,&ksp->reason,ksp->cnvP);CHKERRQ(ierr);
89   if (ksp->reason) PetscFunctionReturn(0);
90 
91   /* Initialize iterates */
92   ierr = VecCopy(R,RP);CHKERRQ(ierr); /* rp <- r */
93   ierr = VecCopy(R,P);CHKERRQ(ierr); /* p <- r */
94 
95   /* Big loop */
96   for (i=0; i<ksp->max_it; i++) {
97 
98     /* matmult and pc */
99     ierr = PCApply(pc,P,P2);CHKERRQ(ierr); /* p2 <- K p */
100     ierr = MatMult(pc->mat,P2,V);CHKERRQ(ierr); /* v <- A p2 */
101 
102     /* inner prodcuts */
103     if (i==0) {
104       tau = rho*rho;
105       ierr = VecDot(V,RP,&sigma);CHKERRQ(ierr); /* sigma <- (v,rp) */
106     } else {
107       ierr = PetscLogEventBegin(VEC_ReduceArithmetic,0,0,0,0);CHKERRQ(ierr);
108       tau = sigma = 0.0;
109       for (j=0; j<N; j++) {
110         tau += r[j]*rp[j]; /* tau <- (r,rp) */
111         sigma += v[j]*rp[j]; /* sigma <- (v,rp) */
112       }
113       PetscLogFlops(4.0*N);
114       ierr = PetscLogEventEnd(VEC_ReduceArithmetic,0,0,0,0);CHKERRQ(ierr);
115       insums[0] = tau;
116       insums[1] = sigma;
117       ierr = PetscLogEventBarrierBegin(VEC_ReduceBarrier,0,0,0,0,((PetscObject)ksp)->comm);CHKERRQ(ierr);
118       ierr = MPI_Allreduce(insums,outsums,2,MPIU_SCALAR,MPIU_SUM,((PetscObject)ksp)->comm);CHKERRQ(ierr);
119       ierr = PetscLogEventBarrierEnd(VEC_ReduceBarrier,0,0,0,0,((PetscObject)ksp)->comm);CHKERRQ(ierr);
120       tau = outsums[0];
121       sigma = outsums[1];
122     }
123 
124     /* scalar update */
125     alpha = tau / sigma;
126 
127     /* vector update */
128     ierr = VecWAXPY(S,-alpha,V,R);CHKERRQ(ierr);  /* s <- r - alpha v */
129 
130     /* matmult and pc */
131     ierr = PCApply(pc,S,S2);CHKERRQ(ierr); /* s2 <- K s */
132     ierr = MatMult(pc->mat,S2,T);CHKERRQ(ierr); /* t <- A s2 */
133 
134     /* inner prodcuts */
135     ierr = PetscLogEventBegin(VEC_ReduceArithmetic,0,0,0,0);CHKERRQ(ierr);
136     xi1 = xi2 = xi3 = xi4 = 0.0;
137     for (j=0; j<N; j++) {
138       xi1 += s[j]*s[j]; /* xi1 <- (s,s) */
139       xi2 += t[j]*s[j]; /* xi2 <- (t,s) */
140       xi3 += t[j]*t[j]; /* xi3 <- (t,t) */
141       xi4 += t[j]*rp[j]; /* xi4 <- (t,rp) */
142     }
143     PetscLogFlops(8.0*N);
144     ierr = PetscLogEventEnd(VEC_ReduceArithmetic,0,0,0,0);CHKERRQ(ierr);
145     insums[0] = xi1;
146     insums[1] = xi2;
147     insums[2] = xi3;
148     insums[3] = xi4;
149     ierr = PetscLogEventBarrierBegin(VEC_ReduceBarrier,0,0,0,0,((PetscObject)ksp)->comm);CHKERRQ(ierr);
150     ierr = MPI_Allreduce(insums,outsums,4,MPIU_SCALAR,MPIU_SUM,((PetscObject)ksp)->comm);CHKERRQ(ierr);
151     ierr = PetscLogEventBarrierEnd(VEC_ReduceBarrier,0,0,0,0,((PetscObject)ksp)->comm);CHKERRQ(ierr);
152     xi1 = outsums[0];
153     xi2 = outsums[1];
154     xi3 = outsums[2];
155     xi4 = outsums[3];
156 
157     /* test denominator */
158     if (xi3 == 0.0) SETERRQ(((PetscObject)ksp)->comm,PETSC_ERR_PLIB,"Divide by zero");
159     if (sigma == 0.0) SETERRQ(((PetscObject)ksp)->comm,PETSC_ERR_PLIB,"Divide by zero");
160 
161     /* scalar updates */
162     omega = xi2 / xi3;
163     beta = - xi4 / sigma;
164     rho = PetscSqrtReal(PetscAbsScalar(xi1 - omega * xi2)); /* residual norm */
165 
166     /* vector updates */
167     ierr = VecAXPBYPCZ(X,alpha,omega,1.0,P2,S2);CHKERRQ(ierr); /* x <- alpha * p2 + omega * s2 + x */
168 
169     /* convergence test */
170     ierr = PetscObjectTakeAccess(ksp);CHKERRQ(ierr);
171     ksp->its++;
172     ksp->rnorm = rho;
173     ierr = PetscObjectGrantAccess(ksp);CHKERRQ(ierr);
174     KSPLogResidualHistory(ksp,rho);
175     ierr = KSPMonitor(ksp,i+1,rho);CHKERRQ(ierr);
176     ierr = (*ksp->converged)(ksp,i+1,rho,&ksp->reason,ksp->cnvP);CHKERRQ(ierr);
177     if (ksp->reason) break;
178 
179     /* vector updates */
180     ierr = PetscLogEventBegin(VEC_Ops,0,0,0,0);CHKERRQ(ierr);
181     for (j=0; j<N; j++) {
182       r[j] = s[j] - omega * t[j]; /* r <- s - omega t */
183       p[j] = r[j] + beta * (p[j] - omega * v[j]); /* p <- r + beta * (p - omega v) */
184     }
185     PetscLogFlops(6.0*N);
186     ierr = PetscLogEventEnd(VEC_Ops,0,0,0,0);CHKERRQ(ierr);
187 
188   }
189 
190   if (i >= ksp->max_it) {
191     ksp->reason = KSP_DIVERGED_ITS;
192   }
193   PetscFunctionReturn(0);
194 }
195 
196 /*MC
197      KSPFBCGSR - Implements a mathematically equivalent variant of FBiCGSTab.
198 
199    Options Database Keys:
200 .   see KSPSolve()
201 
202    Level: beginner
203 
204    Notes: Only allow right preconditioning
205 
206 .seealso:  KSPCreate(), KSPSetType(), KSPType (for list of available types), KSP, KSPBICG, KSPFBCGSL, KSPSetPCSide()
207 M*/
208 EXTERN_C_BEGIN
209 #undef __FUNCT__
210 #define __FUNCT__ "KSPCreate_FBCGSR"
211 PetscErrorCode  KSPCreate_FBCGSR(KSP ksp)
212 {
213   PetscErrorCode ierr;
214   KSP_BCGS       *bcgs;
215 
216   PetscFunctionBegin;
217   ierr = PetscNewLog(ksp,KSP_BCGS,&bcgs);CHKERRQ(ierr);
218   ksp->data                 = bcgs;
219   ksp->ops->setup           = KSPSetUp_FBCGSR;
220   ksp->ops->solve           = KSPSolve_FBCGSR;
221   ksp->ops->destroy         = KSPDestroy_BCGS;
222   ksp->ops->reset           = KSPReset_BCGS;
223   ksp->ops->buildsolution   = KSPBuildSolution_BCGS;
224   ksp->ops->buildresidual   = KSPDefaultBuildResidual;
225   ksp->ops->setfromoptions  = KSPSetFromOptions_BCGS;
226   ksp->pc_side              = PC_RIGHT; /* set default PC side */
227 
228   ierr = KSPSetSupportedNorm(ksp,KSP_NORM_PRECONDITIONED,PC_LEFT,2);CHKERRQ(ierr);
229   ierr = KSPSetSupportedNorm(ksp,KSP_NORM_UNPRECONDITIONED,PC_RIGHT,1);CHKERRQ(ierr);
230   PetscFunctionReturn(0);
231 }
232 EXTERN_C_END
233