1 #include <petscvec_kokkos.hpp> 2 #include <petsc/private/pcimpl.h> 3 #include <petsc/private/kspimpl.h> 4 #include <petscksp.h> /*I "petscksp.h" I*/ 5 #include "petscsection.h" 6 #include <petscdmcomposite.h> 7 #include <Kokkos_Core.hpp> 8 9 typedef Kokkos::TeamPolicy<>::member_type team_member; 10 11 #include <../src/mat/impls/aij/seq/aij.h> 12 #include <../src/mat/impls/aij/seq/kokkos/aijkok.hpp> 13 14 #define PCBJKOKKOS_SHARED_LEVEL 1 15 #define PCBJKOKKOS_VEC_SIZE 16 16 #define PCBJKOKKOS_TEAM_SIZE 16 17 #define PCBJKOKKOS_VERBOSE_LEVEL 0 18 //#define PCBJKOKKOS_MONITOR 19 20 typedef enum {BATCH_KSP_BICG_IDX=0,BATCH_KSP_TFQMR_IDX=1,NUM_BATCH_TYPES} KSPIndex; 21 typedef struct { 22 Vec vec_diag; 23 PetscInt nBlocks; /* total number of blocks */ 24 PetscInt n; // cache host version of d_bid_eqOffset_k[nBlocks] 25 KSP ksp; // Used just for options. Should have one for each block 26 Kokkos::View<PetscInt*, Kokkos::LayoutRight> *d_bid_eqOffset_k; 27 Kokkos::View<PetscScalar*, Kokkos::LayoutRight> *d_idiag_k; 28 Kokkos::View<PetscInt*> *d_isrow_k; 29 Kokkos::View<PetscInt*> *d_isicol_k; 30 KSPIndex ksp_type_idx; 31 PetscInt nwork; 32 PetscInt const_block_size; // used to decide to use shared memory for work vectors 33 PetscInt *dm_Nf; // Number of fields in each DM 34 PetscInt num_dms; 35 // diagnostics 36 PetscBool reason; 37 PetscBool monitor; 38 PetscInt batch_target; 39 } PC_PCBJKOKKOS; 40 41 static PetscErrorCode PCBJKOKKOSCreateKSP_BJKOKKOS(PC pc) 42 { 43 PetscErrorCode ierr; 44 const char *prefix; 45 PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data; 46 DM dm; 47 48 PetscFunctionBegin; 49 ierr = KSPCreate(PetscObjectComm((PetscObject)pc),&jac->ksp);CHKERRQ(ierr); 50 ierr = KSPSetErrorIfNotConverged(jac->ksp,pc->erroriffailure);CHKERRQ(ierr); 51 ierr = PetscObjectIncrementTabLevel((PetscObject)jac->ksp,(PetscObject)pc,1);CHKERRQ(ierr); 52 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 53 ierr = KSPSetOptionsPrefix(jac->ksp,prefix);CHKERRQ(ierr); 54 ierr = KSPAppendOptionsPrefix(jac->ksp,"pc_bjkokkos_");CHKERRQ(ierr); 55 ierr = PCGetDM(pc, &dm);CHKERRQ(ierr); 56 if (dm) { 57 ierr = KSPSetDM(jac->ksp, dm);CHKERRQ(ierr); 58 ierr = KSPSetDMActive(jac->ksp, PETSC_FALSE);CHKERRQ(ierr); 59 } 60 jac->reason = PETSC_FALSE; 61 jac->monitor = PETSC_FALSE; 62 jac->batch_target = 0; 63 64 PetscFunctionReturn(0); 65 } 66 67 // y <-- Ax 68 KOKKOS_INLINE_FUNCTION PetscErrorCode MatMult(const team_member team, const PetscInt *glb_Aai, const PetscInt *glb_Aaj, const PetscScalar *glb_Aaa, const PetscInt *r, const PetscInt *ic, const PetscInt start, const PetscInt end, const PetscScalar *x_loc, PetscScalar *y_loc) 69 { 70 Kokkos::parallel_for(Kokkos::TeamThreadRange(team,start,end), [=] (const int rowb) { 71 int rowa = ic[rowb]; 72 int n = glb_Aai[rowa+1] - glb_Aai[rowa]; 73 const PetscInt *aj = glb_Aaj + glb_Aai[rowa]; 74 const PetscScalar *aa = glb_Aaa + glb_Aai[rowa]; 75 PetscScalar sum; 76 Kokkos::parallel_reduce(Kokkos::ThreadVectorRange (team, n), [=] (const int i, PetscScalar& lsum) { 77 lsum += aa[i] * x_loc[r[aj[i]]-start]; 78 }, sum); 79 Kokkos::single(Kokkos::PerThread (team),[=]() {y_loc[rowb-start] = sum;}); 80 }); 81 team.team_barrier(); 82 return 0; 83 } 84 85 // temp buffer per thread with reduction at end? 86 KOKKOS_INLINE_FUNCTION PetscErrorCode MatMultTranspose(const team_member team, const PetscInt *glb_Aai, const PetscInt *glb_Aaj, const PetscScalar *glb_Aaa, const PetscInt *r, const PetscInt *ic, const PetscInt start, const PetscInt end, const PetscScalar *x_loc, PetscScalar *y_loc) 87 { 88 Kokkos::parallel_for(Kokkos::TeamVectorRange(team,end-start), [=] (int i) { y_loc[i] = 0;}); 89 team.team_barrier(); 90 Kokkos::parallel_for(Kokkos::TeamThreadRange(team,start,end), [=] (const int rowb) { 91 int rowa = ic[rowb]; 92 int n = glb_Aai[rowa+1] - glb_Aai[rowa]; 93 const PetscInt *aj = glb_Aaj + glb_Aai[rowa]; 94 const PetscScalar *aa = glb_Aaa + glb_Aai[rowa]; 95 const PetscScalar xx = x_loc[rowb-start]; // rowb = ic[rowa] = ic[r[rowb]] 96 Kokkos::parallel_for(Kokkos::ThreadVectorRange(team,n), [=] (const int &i) { 97 PetscScalar val = aa[i] * xx; 98 Kokkos::atomic_fetch_add(&y_loc[r[aj[i]]-start], val); 99 }); 100 }); 101 team.team_barrier(); 102 return 0; 103 } 104 105 typedef struct Batch_MetaData_TAG 106 { 107 PetscInt flops; 108 PetscInt its; 109 KSPConvergedReason reason; 110 }Batch_MetaData; 111 112 // Solve A(BB^-1)x = y with TFQMR. Right preconditioned to get un-preconditioned residual 113 KOKKOS_INLINE_FUNCTION PetscErrorCode BJSolve_TFQMR(const team_member team, const PetscInt *glb_Aai, const PetscInt *glb_Aaj, const PetscScalar *glb_Aaa, const PetscInt *r, const PetscInt *ic, PetscScalar *work_space, const PetscInt stride, PetscReal rtol, PetscReal atol, PetscReal dtol,PetscInt maxit, Batch_MetaData *metad, const PetscInt start, const PetscInt end, const PetscScalar glb_idiag[], const PetscScalar *glb_b, PetscScalar *glb_x, bool monitor) 114 { 115 using Kokkos::parallel_reduce; 116 using Kokkos::parallel_for; 117 int Nblk = end-start, i,m; 118 PetscReal dp,dpold,w,dpest,tau,psi,cm,r0; 119 PetscScalar *ptr = work_space, rho,rhoold,a,s,b,eta,etaold,psiold,cf,dpi; 120 const PetscScalar *Diag = &glb_idiag[start]; 121 PetscScalar *XX = ptr; ptr += stride; 122 PetscScalar *R = ptr; ptr += stride; 123 PetscScalar *RP = ptr; ptr += stride; 124 PetscScalar *V = ptr; ptr += stride; 125 PetscScalar *T = ptr; ptr += stride; 126 PetscScalar *Q = ptr; ptr += stride; 127 PetscScalar *P = ptr; ptr += stride; 128 PetscScalar *U = ptr; ptr += stride; 129 PetscScalar *D = ptr; ptr += stride; 130 PetscScalar *AUQ = V; 131 132 // init: get b, zero x 133 parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) { 134 int rowa = ic[rowb]; 135 R[rowb-start] = glb_b[rowa]; 136 XX[rowb-start] = 0; 137 }); 138 team.team_barrier(); 139 parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum += R[idx]*PetscConj(R[idx]);}, dpi); 140 team.team_barrier(); 141 r0 = dp = PetscSqrtReal(PetscRealPart(dpi)); 142 // diagnostics 143 if (monitor) Kokkos::single (Kokkos::PerTeam (team), [=] () { printf("%3d KSP Residual norm %14.12e \n", 0, (double)dp);}); 144 145 if (dp < atol) {metad->reason = KSP_CONVERGED_ATOL_NORMAL; return 0;} 146 if (0 == maxit) {metad->reason = KSP_DIVERGED_ITS; return 0;} 147 148 /* Make the initial Rp = R */ 149 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {RP[idx] = R[idx];}); 150 team.team_barrier(); 151 /* Set the initial conditions */ 152 etaold = 0.0; 153 psiold = 0.0; 154 tau = dp; 155 dpold = dp; 156 157 /* rhoold = (r,rp) */ 158 parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& dot) {dot += R[idx]*PetscConj(RP[idx]);}, rhoold); 159 team.team_barrier(); 160 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {U[idx] = R[idx]; P[idx] = R[idx]; T[idx] = Diag[idx]*P[idx]; D[idx] = 0;}); 161 team.team_barrier(); 162 MatMult (team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,T,V); 163 164 i=0; 165 do { 166 /* s <- (v,rp) */ 167 parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& dot) {dot += V[idx]*PetscConj(RP[idx]);}, s); 168 team.team_barrier(); 169 a = rhoold / s; /* a <- rho / s */ 170 /* q <- u - a v VecWAXPY(w,alpha,x,y): w = alpha x + y. */ 171 /* t <- u + q */ 172 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Q[idx] = U[idx] - a*V[idx]; T[idx] = U[idx] + Q[idx];}); 173 team.team_barrier(); 174 // KSP_PCApplyBAorAB 175 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {T[idx] = Diag[idx]*T[idx]; }); 176 team.team_barrier(); 177 MatMult (team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,T,AUQ); 178 /* r <- r - a K (u + q) */ 179 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {R[idx] = R[idx] - a*AUQ[idx]; }); 180 team.team_barrier(); 181 parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum += R[idx]*PetscConj(R[idx]);}, dpi); 182 team.team_barrier(); 183 dp = PetscSqrtReal(PetscRealPart(dpi)); 184 for (m=0; m<2; m++) { 185 if (!m) w = PetscSqrtReal(dp*dpold); 186 else w = dp; 187 psi = w / tau; 188 cm = 1.0 / PetscSqrtReal(1.0 + psi * psi); 189 tau = tau * psi * cm; 190 eta = cm * cm * a; 191 cf = psiold * psiold * etaold / a; 192 if (!m) { 193 /* D = U + cf D */ 194 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {D[idx] = U[idx] + cf*D[idx]; }); 195 } else { 196 /* D = Q + cf D */ 197 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {D[idx] = Q[idx] + cf*D[idx]; }); 198 } 199 team.team_barrier(); 200 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {XX[idx] = XX[idx] + eta*D[idx]; }); 201 team.team_barrier(); 202 dpest = PetscSqrtReal(2*i + m + 2.0) * tau; 203 if (monitor) Kokkos::single (Kokkos::PerTeam (team), [=] () { printf("%3d KSP Residual norm %14.12e \n", i+1, (double)dpest);}); 204 205 if (dpest < atol) {metad->reason = KSP_CONVERGED_ATOL_NORMAL; goto done;} 206 if (dpest/r0 < rtol) {metad->reason = KSP_CONVERGED_RTOL_NORMAL; goto done;} 207 #if defined(PETSC_USE_DEBUG) || 1 208 if (dpest/r0 > dtol) {metad->reason = KSP_DIVERGED_DTOL; Kokkos::single (Kokkos::PerTeam (team), [=] () {printf("ERROR block %d diverged: %d it, res=%e, r_0=%e\n",team.league_rank(),i,dpest,r0);}); goto done;} 209 #else 210 if (dpest/r0 > dtol) {metad->reason = KSP_DIVERGED_DTOL; goto done;} 211 #endif 212 if (i+1 == maxit) {metad->reason = KSP_DIVERGED_ITS; goto done;} 213 214 etaold = eta; 215 psiold = psi; 216 } 217 218 /* rho <- (r,rp) */ 219 parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& dot) {dot += R[idx]*PetscConj(RP[idx]);}, rho); 220 team.team_barrier(); 221 b = rho / rhoold; /* b <- rho / rhoold */ 222 /* u <- r + b q */ 223 /* p <- u + b(q + b p) */ 224 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {U[idx] = R[idx] + b*Q[idx]; Q[idx] = Q[idx] + b*P[idx]; P[idx] = U[idx] + b*Q[idx];}); 225 /* v <- K p */ 226 team.team_barrier(); 227 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {T[idx] = Diag[idx]*P[idx]; }); 228 team.team_barrier(); 229 MatMult (team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,T,V); 230 231 rhoold = rho; 232 dpold = dp; 233 234 i++; 235 } while (i<maxit); 236 done: 237 // KSPUnwindPreconditioner 238 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {XX[idx] = Diag[idx]*XX[idx]; }); 239 team.team_barrier(); 240 parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) { 241 int rowa = ic[rowb]; 242 glb_x[rowa] = XX[rowb-start]; 243 }); 244 metad->its = i+1; 245 if (1) { 246 int nnz; 247 parallel_reduce(Kokkos::TeamVectorRange (team, start, end), [=] (const int idx, int& lsum) {lsum += (glb_Aai[idx+1] - glb_Aai[idx]);}, nnz); 248 metad->flops = 2*(metad->its*(10*Nblk + 2*nnz) + 5*Nblk); 249 } else { 250 metad->flops = 2*(metad->its*(10*Nblk + 2*50*Nblk) + 5*Nblk); // guess 251 } 252 return 0; 253 } 254 255 // Solve Ax = y with biCG 256 KOKKOS_INLINE_FUNCTION PetscErrorCode BJSolve_BICG(const team_member team, const PetscInt *glb_Aai, const PetscInt *glb_Aaj, const PetscScalar *glb_Aaa, const PetscInt *r, const PetscInt *ic, PetscScalar *work_space, const PetscInt stride, PetscReal rtol, PetscReal atol, PetscReal dtol,PetscInt maxit, Batch_MetaData *metad, const PetscInt start, const PetscInt end, const PetscScalar glb_idiag[], const PetscScalar *glb_b, PetscScalar *glb_x, bool monitor) 257 { 258 using Kokkos::parallel_reduce; 259 using Kokkos::parallel_for; 260 int Nblk = end-start, i; 261 PetscReal dp, r0; 262 PetscScalar *ptr = work_space, dpi, a=1.0, beta, betaold=1.0, b, b2, ma, mac; 263 const PetscScalar *Di = &glb_idiag[start]; 264 PetscScalar *XX = ptr; ptr += stride; 265 PetscScalar *Rl = ptr; ptr += stride; 266 PetscScalar *Zl = ptr; ptr += stride; 267 PetscScalar *Pl = ptr; ptr += stride; 268 PetscScalar *Rr = ptr; ptr += stride; 269 PetscScalar *Zr = ptr; ptr += stride; 270 PetscScalar *Pr = ptr; ptr += stride; 271 272 /* r <- b (x is 0) */ 273 parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) { 274 int rowa = ic[rowb]; 275 //ierr = VecCopy(Rr,Rl);CHKERRQ(ierr); 276 Rl[rowb-start] = Rr[rowb-start] = glb_b[rowa]; 277 XX[rowb-start] = 0; 278 }); 279 team.team_barrier(); 280 /* z <- Br */ 281 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Zr[idx] = Di[idx]*Rr[idx]; Zl[idx] = Di[idx]*Rl[idx]; }); 282 team.team_barrier(); 283 /* dp <- r'*r */ 284 parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum += Rr[idx]*PetscConj(Rr[idx]);}, dpi); 285 team.team_barrier(); 286 r0 = dp = PetscSqrtReal(PetscRealPart(dpi)); 287 if (monitor) Kokkos::single (Kokkos::PerTeam (team), [=] () { printf("%3d KSP Residual norm %14.12e \n", 0, (double)dp);}); 288 289 if (dp < atol) {metad->reason = KSP_CONVERGED_ATOL_NORMAL; return 0;} 290 if (0 == maxit) {metad->reason = KSP_DIVERGED_ITS; return 0;} 291 i = 0; 292 do { 293 /* beta <- r'z */ 294 parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& dot) {dot += Zr[idx]*PetscConj(Rl[idx]);}, beta); 295 team.team_barrier(); 296 #if PCBJKOKKOS_VERBOSE_LEVEL >= 6 297 Kokkos::single (Kokkos::PerTeam (team), [=] () {printf("%7d beta = Z.R = %22.14e \n",i,(double)beta);}); 298 #endif 299 if (!i) { 300 if (beta == 0.0) { 301 metad->reason = KSP_DIVERGED_BREAKDOWN_BICG; 302 goto done; 303 } 304 /* p <- z */ 305 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Pr[idx] = Zr[idx]; Pl[idx] = Zl[idx];}); 306 } else { 307 b = beta/betaold; 308 /* p <- z + b* p */ 309 b2 = PetscConj(b); 310 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Pr[idx] = b*Pr[idx] + Zr[idx]; Pl[idx] = b2*Pl[idx] + Zl[idx];}); 311 } 312 team.team_barrier(); 313 betaold = beta; 314 /* z <- Kp */ 315 MatMult (team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,Pr,Zr); 316 MatMultTranspose(team,glb_Aai,glb_Aaj,glb_Aaa,r,ic,start,end,Pl,Zl); 317 /* dpi <- z'p */ 318 parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum += Zr[idx]*PetscConj(Pl[idx]);}, dpi); 319 team.team_barrier(); 320 // 321 a = beta/dpi; /* a = beta/p'z */ 322 ma = -a; 323 mac = PetscConj(ma); 324 /* x <- x + ap */ 325 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {XX[idx] = XX[idx] + a*Pr[idx]; Rr[idx] = Rr[idx] + ma*Zr[idx]; Rl[idx] = Rl[idx] + mac*Zl[idx];});team.team_barrier(); 326 team.team_barrier(); 327 /* dp <- r'*r */ 328 parallel_reduce(Kokkos::TeamVectorRange (team, Nblk), [=] (const int idx, PetscScalar& lsum) {lsum += Rr[idx]*PetscConj(Rr[idx]);}, dpi); 329 team.team_barrier(); 330 dp = PetscSqrtReal(PetscRealPart(dpi)); 331 if (monitor) Kokkos::single (Kokkos::PerTeam (team), [=] () { printf("%3d KSP Residual norm %14.12e \n", i+1, (double)dp);}); 332 333 if (dp < atol) {metad->reason = KSP_CONVERGED_ATOL_NORMAL; goto done;} 334 if (dp/r0 < rtol) {metad->reason = KSP_CONVERGED_RTOL_NORMAL; goto done;} 335 #if defined(PETSC_USE_DEBUG) || 1 336 if (dp/r0 > dtol) {metad->reason = KSP_DIVERGED_DTOL; Kokkos::single (Kokkos::PerTeam (team), [=] () {printf("ERROR block %d diverged: %d it, res=%e, r_0=%e\n",team.league_rank(),i,dp,r0);}); goto done;} 337 #else 338 if (dp/r0 > dtol) {metad->reason = KSP_DIVERGED_DTOL; goto done;} 339 #endif 340 if (i+1 == maxit) {metad->reason = KSP_DIVERGED_ITS; goto done;} 341 /* z <- Br */ 342 parallel_for(Kokkos::TeamVectorRange(team,Nblk), [=] (int idx) {Zr[idx] = Di[idx]*Rr[idx]; Zl[idx] = Di[idx]*Rl[idx];}); 343 i++; 344 team.team_barrier(); 345 } while (i<maxit); 346 done: 347 parallel_for(Kokkos::TeamVectorRange(team, start, end), [=] (int rowb) { 348 int rowa = ic[rowb]; 349 glb_x[rowa] = XX[rowb-start]; 350 }); 351 metad->its = i+1; 352 if (1) { 353 int nnz; 354 parallel_reduce(Kokkos::TeamVectorRange (team, start, end), [=] (const int idx, int& lsum) {lsum += (glb_Aai[idx+1] - glb_Aai[idx]);}, nnz); 355 metad->flops = 2*(metad->its*(10*Nblk + 2*nnz) + 5*Nblk); 356 } else { 357 metad->flops = 2*(metad->its*(10*Nblk + 2*50*Nblk) + 5*Nblk); // guess 358 } 359 return 0; 360 } 361 362 // KSP solver solve Ax = b; x is output, bin is input 363 static PetscErrorCode PCApply_BJKOKKOS(PC pc,Vec bin,Vec xout) 364 { 365 PetscErrorCode ierr; 366 PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data; 367 Mat A = pc->pmat; 368 Mat_SeqAIJKokkos *aijkok; 369 370 PetscFunctionBegin; 371 PetscCheck(jac->vec_diag && A,PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"Not setup???? %p %p",jac->vec_diag,A); 372 aijkok = static_cast<Mat_SeqAIJKokkos*>(A->spptr); 373 if (!aijkok) { 374 SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"No aijkok"); 375 } else { 376 using scr_mem_t = Kokkos::DefaultExecutionSpace::scratch_memory_space; 377 using vect2D_scr_t = Kokkos::View<PetscScalar**, Kokkos::LayoutLeft, scr_mem_t>; 378 PetscInt *d_bid_eqOffset, maxit = jac->ksp->max_it, scr_bytes_team, stride, global_buff_size; 379 const PetscInt conc = Kokkos::DefaultExecutionSpace().concurrency(), openmp = !!(conc < 1000), team_size = (openmp==0 && PCBJKOKKOS_VEC_SIZE != 1) ? PCBJKOKKOS_TEAM_SIZE : 1; 380 const PetscInt nwork = jac->nwork, nBlk = jac->nBlocks; 381 PetscScalar *glb_xdata=NULL; 382 PetscReal rtol = jac->ksp->rtol, atol = jac->ksp->abstol, dtol = jac->ksp->divtol; 383 const PetscScalar *glb_idiag =jac->d_idiag_k->data(), *glb_bdata=NULL; 384 const PetscInt *glb_Aai = aijkok->i_device_data(), *glb_Aaj = aijkok->j_device_data(); 385 const PetscScalar *glb_Aaa = aijkok->a_device_data(); 386 Kokkos::View<Batch_MetaData*, Kokkos::DefaultExecutionSpace> d_metadata("solver meta data", nBlk); 387 PCFailedReason pcreason; 388 KSPIndex ksp_type_idx = jac->ksp_type_idx; 389 PetscMemType mtype; 390 PetscContainer container; 391 PetscInt batch_sz; 392 VecScatter plex_batch=NULL; 393 Vec bvec; 394 PetscBool monitor = jac->monitor; // captured 395 PetscInt view_bid = jac->batch_target; 396 // get field major is to map plex IO to/from block/field major 397 ierr = PetscObjectQuery((PetscObject) A, "plex_batch_is", (PetscObject *) &container);CHKERRQ(ierr); 398 ierr = VecDuplicate(bin,&bvec);CHKERRQ(ierr); 399 if (container) { 400 ierr = PetscContainerGetPointer(container, (void **) &plex_batch);CHKERRQ(ierr); 401 ierr = VecScatterBegin(plex_batch,bin,bvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 402 ierr = VecScatterEnd(plex_batch,bin,bvec,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 403 } else { 404 ierr = VecCopy(bin, bvec);CHKERRQ(ierr); 405 } 406 // get x 407 ierr = VecGetArrayAndMemType(xout,&glb_xdata,&mtype);CHKERRQ(ierr); 408 #if defined(PETSC_HAVE_CUDA) 409 PetscCheck(PetscMemTypeDevice(mtype),PetscObjectComm((PetscObject) pc),PETSC_ERR_ARG_WRONG,"No GPU data for x %D != %D",mtype,PETSC_MEMTYPE_DEVICE); 410 #endif 411 ierr = VecGetArrayReadAndMemType(bvec,&glb_bdata,&mtype);CHKERRQ(ierr); 412 #if defined(PETSC_HAVE_CUDA) 413 PetscCheck(PetscMemTypeDevice(mtype),PetscObjectComm((PetscObject) pc),PETSC_ERR_ARG_WRONG,"No GPU data for b"); 414 #endif 415 // get batch size 416 ierr = PetscObjectQuery((PetscObject) A, "batch size", (PetscObject *) &container);CHKERRQ(ierr); 417 if (container) { 418 PetscInt *pNf=NULL; 419 ierr = PetscContainerGetPointer(container, (void **) &pNf);CHKERRQ(ierr); 420 batch_sz = *pNf; 421 } else batch_sz = 1; 422 PetscCheck(nBlk%batch_sz == 0,PetscObjectComm((PetscObject) pc),PETSC_ERR_ARG_WRONG,"batch_sz = %D, nBlk = %D",batch_sz,nBlk); 423 d_bid_eqOffset = jac->d_bid_eqOffset_k->data(); 424 // solve each block independently 425 if (jac->const_block_size) { // use shared memory for work vectors only if constant block size - todo: test efficiency loss 426 scr_bytes_team = jac->const_block_size*nwork*sizeof(PetscScalar); 427 stride = jac->const_block_size; // captured 428 global_buff_size = 0; 429 } else { 430 scr_bytes_team = 0; 431 stride = jac->n; // captured 432 global_buff_size = jac->n*nwork; 433 } 434 Kokkos::View<PetscScalar*, Kokkos::DefaultExecutionSpace> d_work_vecs_k("workvectors", global_buff_size); // global work vectors 435 PetscInfo(pc,"\tn = %D. %d shared mem words/team. %D global mem words, rtol=%e, num blocks %D, team_size=%D, %D vector threads\n",jac->n,scr_bytes_team/sizeof(PetscScalar),global_buff_size,rtol,nBlk, 436 team_size, PCBJKOKKOS_VEC_SIZE); 437 PetscScalar *d_work_vecs = scr_bytes_team ? NULL : d_work_vecs_k.data(); 438 const PetscInt *d_isicol = jac->d_isicol_k->data(), *d_isrow = jac->d_isrow_k->data(); 439 Kokkos::parallel_for("Solve", Kokkos::TeamPolicy<>(nBlk, team_size, PCBJKOKKOS_VEC_SIZE).set_scratch_size(PCBJKOKKOS_SHARED_LEVEL, Kokkos::PerTeam(scr_bytes_team)), 440 KOKKOS_LAMBDA (const team_member team) { 441 const int blkID = team.league_rank(), start = d_bid_eqOffset[blkID], end = d_bid_eqOffset[blkID+1]; 442 vect2D_scr_t work_vecs(team.team_scratch(PCBJKOKKOS_SHARED_LEVEL), scr_bytes_team ? (end-start) : 0, nwork); 443 PetscScalar *work_buff = (scr_bytes_team) ? work_vecs.data() : &d_work_vecs[start]; 444 bool print = monitor && (blkID==view_bid); 445 switch (ksp_type_idx) { 446 case BATCH_KSP_BICG_IDX: 447 BJSolve_BICG(team, glb_Aai, glb_Aaj, glb_Aaa, d_isrow, d_isicol, work_buff, stride, rtol, atol, dtol, maxit, &d_metadata[blkID], start, end, glb_idiag, glb_bdata, glb_xdata, print); 448 break; 449 case BATCH_KSP_TFQMR_IDX: 450 BJSolve_TFQMR(team, glb_Aai, glb_Aaj, glb_Aaa, d_isrow, d_isicol, work_buff, stride, rtol, atol, dtol, maxit, &d_metadata[blkID], start, end, glb_idiag, glb_bdata, glb_xdata, print); 451 break; 452 default: 453 #if defined(PETSC_USE_DEBUG) 454 printf("Unknown KSP type %d\n",ksp_type_idx); 455 #else 456 /* void */; 457 #endif 458 } 459 #if defined(PETSC_USE_DEBUG) 460 if (d_metadata[blkID].reason<0) printf("Solver diverged %d\n",d_metadata[blkID].reason); 461 #endif 462 }); 463 auto h_metadata = Kokkos::create_mirror(Kokkos::HostSpace::memory_space(), d_metadata); 464 Kokkos::fence(); 465 Kokkos::deep_copy (h_metadata, d_metadata); 466 #if PCBJKOKKOS_VERBOSE_LEVEL >= 3 467 #if PCBJKOKKOS_VERBOSE_LEVEL >= 4 468 ierr = PetscPrintf(PETSC_COMM_WORLD,"Iterations\n");CHKERRQ(ierr); 469 #endif 470 // assume species major 471 #if PCBJKOKKOS_VERBOSE_LEVEL < 4 472 ierr = PetscPrintf(PETSC_COMM_WORLD,"max iterations per species (%s) :",ksp_type_idx==BATCH_KSP_BICG_IDX ? "bicg" : "tfqmr");CHKERRQ(ierr); 473 #endif 474 for (PetscInt dmIdx=0, s=0, head=0 ; dmIdx < jac->num_dms; dmIdx += batch_sz) { 475 for (PetscInt f=0, idx=head ; f < jac->dm_Nf[dmIdx] ; f++,s++,idx++) { 476 #if PCBJKOKKOS_VERBOSE_LEVEL >= 4 477 ierr = PetscPrintf(PETSC_COMM_WORLD,"%2D:", s);CHKERRQ(ierr); 478 for (int bid=0 ; bid<batch_sz ; bid++) { 479 ierr = PetscPrintf(PETSC_COMM_WORLD,"%3D ", h_metadata[idx + bid*jac->dm_Nf[dmIdx]].its);CHKERRQ(ierr); 480 } 481 ierr = PetscPrintf(PETSC_COMM_WORLD,"\n");CHKERRQ(ierr); 482 #else 483 PetscInt count=0; 484 for (int bid=0 ; bid<batch_sz ; bid++) { 485 if (h_metadata[idx + bid*jac->dm_Nf[dmIdx]].its > count) count = h_metadata[idx + bid*jac->dm_Nf[dmIdx]].its; 486 } 487 ierr = PetscPrintf(PETSC_COMM_WORLD,"%3D ", count);CHKERRQ(ierr); 488 #endif 489 } 490 head += batch_sz*jac->dm_Nf[dmIdx]; 491 } 492 #if PCBJKOKKOS_VERBOSE_LEVEL < 4 493 ierr = PetscPrintf(PETSC_COMM_WORLD,"\n");CHKERRQ(ierr); 494 #endif 495 #elif PCBJKOKKOS_VERBOSE_LEVEL >= 2 496 PetscInt count=0; 497 for (PetscInt dmIdx=0, s=0, head=0 ; dmIdx < jac->num_dms; dmIdx += batch_sz) { 498 for (PetscInt f=0, idx=head ; f < jac->dm_Nf[dmIdx] ; f++,s++,idx++) { 499 if (h_metadata[idx + bid*jac->dm_Nf[dmIdx]].its > count) count = h_metadata[idx + bid*jac->dm_Nf[dmIdx]].its; 500 } 501 } 502 ierr = PetscPrintf(PETSC_COMM_WORLD,"%D max iterations", count);CHKERRQ(ierr); 503 #endif 504 for (int blkID=0;blkID<nBlk;blkID++) { 505 ierr = PetscLogGpuFlops((PetscLogDouble)h_metadata[blkID].flops);CHKERRQ(ierr); 506 if (jac->reason) { 507 if (jac->batch_target==blkID || (jac->batch_target==-1 && h_metadata[blkID].its > 100)) { 508 ierr = PetscPrintf(PETSC_COMM_SELF, " Linear solve converged due to %s iterations %d\n", KSPConvergedReasons[h_metadata[blkID].reason], h_metadata[blkID].its);CHKERRQ(ierr); 509 } 510 if (jac->batch_target==-1 && h_metadata[blkID].reason < 0) { 511 ierr = PetscPrintf(PETSC_COMM_SELF, "ERROR reason=%s, its=%D. species %D, batch %D, %D species\n", 512 KSPConvergedReasons[h_metadata[blkID].reason],h_metadata[blkID].its,blkID/batch_sz,blkID%batch_sz,nBlk/batch_sz);CHKERRQ(ierr); 513 } 514 } 515 } 516 ierr = VecRestoreArrayAndMemType(xout,&glb_xdata);CHKERRQ(ierr); 517 ierr = VecRestoreArrayReadAndMemType(bvec,&glb_bdata);CHKERRQ(ierr); 518 { 519 int errsum; 520 Kokkos::parallel_reduce(nBlk, KOKKOS_LAMBDA (const int idx, int& lsum) { 521 if (d_metadata[idx].reason < 0 && d_metadata[idx].reason != KSP_DIVERGED_ITS && d_metadata[idx].reason != KSP_CONVERGED_ITS) lsum += 1; 522 }, errsum); 523 if (!errsum) pcreason = PC_NOERROR; 524 else pcreason = PC_SUBPC_ERROR; 525 } 526 ierr = PCSetFailedReason(pc,pcreason);CHKERRQ(ierr); 527 // map back to Plex space 528 if (plex_batch) { 529 ierr = VecCopy(xout, bvec);CHKERRQ(ierr); 530 ierr = VecScatterBegin(plex_batch,bvec,xout,INSERT_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 531 ierr = VecScatterEnd(plex_batch,bvec,xout,INSERT_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 532 } 533 ierr = VecDestroy(&bvec);CHKERRQ(ierr); 534 } 535 536 PetscFunctionReturn(0); 537 } 538 539 static PetscErrorCode PCSetUp_BJKOKKOS(PC pc) 540 { 541 PetscErrorCode ierr; 542 PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data; 543 Mat A = pc->pmat; 544 Mat_SeqAIJKokkos *aijkok; 545 PetscBool flg; 546 547 PetscFunctionBegin; 548 PetscCheck(!pc->useAmat,PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"No support for using 'use_amat'"); 549 PetscCheck(A,PetscObjectComm((PetscObject)A),PETSC_ERR_USER,"No matrix - A is used above"); 550 ierr = PetscObjectTypeCompareAny((PetscObject)A,&flg,MATSEQAIJKOKKOS,MATMPIAIJKOKKOS,MATAIJKOKKOS,"");CHKERRQ(ierr); 551 PetscCheck(flg,PetscObjectComm((PetscObject)A),PETSC_ERR_ARG_WRONG,"must use '-dm_mat_type aijkokkos -dm_vec_type kokkos' for -pc_type bjkokkos"); 552 if (!(aijkok = static_cast<Mat_SeqAIJKokkos*>(A->spptr))) { 553 SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_USER,"No aijkok"); 554 } else { 555 if (!jac->vec_diag) { 556 Vec *subX; 557 DM pack,*subDM; 558 PetscInt nDMs, n; 559 PetscContainer container; 560 ierr = PetscObjectQuery((PetscObject) A, "plex_batch_is", (PetscObject *) &container);CHKERRQ(ierr); 561 { // Permute the matrix to get a block diagonal system: d_isrow_k, d_isicol_k 562 MatOrderingType rtype; 563 IS isrow,isicol; 564 const PetscInt *rowindices,*icolindices; 565 566 if (container) rtype = MATORDERINGNATURAL; // if we have a vecscatter then don't reorder here (all the reorder stuff goes away in future) 567 else rtype = MATORDERINGRCM; 568 // get permutation. Not what I expect so inverted here 569 ierr = MatGetOrdering(A,rtype,&isrow,&isicol);CHKERRQ(ierr); 570 ierr = ISDestroy(&isrow);CHKERRQ(ierr); 571 ierr = ISInvertPermutation(isicol,PETSC_DECIDE,&isrow);CHKERRQ(ierr); 572 ierr = ISGetIndices(isrow,&rowindices);CHKERRQ(ierr); 573 ierr = ISGetIndices(isicol,&icolindices);CHKERRQ(ierr); 574 const Kokkos::View<PetscInt*, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_isrow_k((PetscInt*)rowindices,A->rmap->n); 575 const Kokkos::View<PetscInt*, Kokkos::HostSpace, Kokkos::MemoryTraits<Kokkos::Unmanaged> > h_isicol_k ((PetscInt*)icolindices,A->rmap->n); 576 jac->d_isrow_k = new Kokkos::View<PetscInt*>(Kokkos::create_mirror(DefaultMemorySpace(),h_isrow_k)); 577 jac->d_isicol_k = new Kokkos::View<PetscInt*>(Kokkos::create_mirror(DefaultMemorySpace(),h_isicol_k)); 578 Kokkos::deep_copy (*jac->d_isrow_k, h_isrow_k); 579 Kokkos::deep_copy (*jac->d_isicol_k, h_isicol_k); 580 ierr = ISRestoreIndices(isrow,&rowindices);CHKERRQ(ierr); 581 ierr = ISRestoreIndices(isicol,&icolindices);CHKERRQ(ierr); 582 ierr = ISDestroy(&isrow);CHKERRQ(ierr); 583 ierr = ISDestroy(&isicol);CHKERRQ(ierr); 584 } 585 // get block sizes 586 ierr = PCGetDM(pc, &pack);CHKERRQ(ierr); 587 PetscCheck(pack,PetscObjectComm((PetscObject)A),PETSC_ERR_USER,"no DM. Requires a composite DM"); 588 ierr = PetscObjectTypeCompare((PetscObject)pack,DMCOMPOSITE,&flg);CHKERRQ(ierr); 589 PetscCheck(flg,PetscObjectComm((PetscObject)pack),PETSC_ERR_USER,"Not for type %s",((PetscObject)pack)->type_name); 590 ierr = DMCompositeGetNumberDM(pack,&nDMs);CHKERRQ(ierr); 591 jac->num_dms = nDMs; 592 ierr = DMCreateGlobalVector(pack, &jac->vec_diag);CHKERRQ(ierr); 593 ierr = VecGetLocalSize(jac->vec_diag,&n);CHKERRQ(ierr); 594 jac->n = n; 595 jac->d_idiag_k = new Kokkos::View<PetscScalar*, Kokkos::LayoutRight>("idiag", n); 596 // options 597 ierr = PCBJKOKKOSCreateKSP_BJKOKKOS(pc);CHKERRQ(ierr); 598 ierr = KSPSetFromOptions(jac->ksp);CHKERRQ(ierr); 599 ierr = PetscObjectTypeCompareAny((PetscObject)jac->ksp,&flg,KSPBICG,"");CHKERRQ(ierr); 600 if (flg) {jac->ksp_type_idx = BATCH_KSP_BICG_IDX; jac->nwork = 7;} 601 else { 602 ierr = PetscObjectTypeCompareAny((PetscObject)jac->ksp,&flg,KSPTFQMR,"");CHKERRQ(ierr); 603 if (flg) {jac->ksp_type_idx = BATCH_KSP_TFQMR_IDX; jac->nwork = 10;} 604 else SETERRQ(PetscObjectComm((PetscObject)jac->ksp),PETSC_ERR_ARG_WRONG,"unsupported type %s", ((PetscObject)jac->ksp)->type_name); 605 } 606 { 607 PetscViewer viewer; 608 PetscBool flg; 609 PetscViewerFormat format; 610 ierr = PetscOptionsGetViewer(PetscObjectComm((PetscObject)jac->ksp),((PetscObject)jac->ksp)->options,((PetscObject)jac->ksp)->prefix,"-ksp_converged_reason",&viewer,&format,&flg);CHKERRQ(ierr); 611 jac->reason = flg; 612 ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr); 613 ierr = PetscOptionsGetViewer(PetscObjectComm((PetscObject)jac->ksp),((PetscObject)jac->ksp)->options,((PetscObject)jac->ksp)->prefix,"-ksp_monitor",&viewer,&format,&flg);CHKERRQ(ierr); 614 jac->monitor = flg; 615 ierr = PetscViewerDestroy(&viewer);CHKERRQ(ierr); 616 ierr = PetscOptionsGetInt(((PetscObject)jac->ksp)->options,((PetscObject)jac->ksp)->prefix,"-ksp_batch_target",&jac->batch_target,NULL);CHKERRQ(ierr); 617 PetscCheckFalse(jac->batch_target >= jac->num_dms,PETSC_COMM_WORLD,PETSC_ERR_ARG_WRONG,"-ksp_batch_target (%D) >= number of DMs (%D)",jac->batch_target,jac->num_dms); 618 } 619 // get blocks - jac->d_bid_eqOffset_k 620 ierr = PetscMalloc(sizeof(*subX)*nDMs, &subX);CHKERRQ(ierr); 621 ierr = PetscMalloc(sizeof(*subDM)*nDMs, &subDM);CHKERRQ(ierr); 622 ierr = PetscMalloc(sizeof(*jac->dm_Nf)*nDMs, &jac->dm_Nf);CHKERRQ(ierr); 623 ierr = PetscInfo(pc, "Have %D DMs, n=%D rtol=%g type = %s\n", nDMs, n, jac->ksp->rtol, ((PetscObject)jac->ksp)->type_name);CHKERRQ(ierr); 624 ierr = DMCompositeGetEntriesArray(pack,subDM);CHKERRQ(ierr); 625 jac->nBlocks = 0; 626 for (PetscInt ii=0;ii<nDMs;ii++) { 627 PetscSection section; 628 PetscInt Nf; 629 DM dm = subDM[ii]; 630 ierr = DMGetLocalSection(dm, §ion);CHKERRQ(ierr); 631 ierr = PetscSectionGetNumFields(section, &Nf);CHKERRQ(ierr); 632 jac->nBlocks += Nf; 633 #if PCBJKOKKOS_VERBOSE_LEVEL <= 2 634 if (ii==0) { ierr = PetscInfo(pc,"%D) %D blocks (%D total)\n",ii,Nf,jac->nBlocks); } 635 #else 636 ierr = PetscInfo(pc,"%D) %D blocks (%D total)\n",ii,Nf,jac->nBlocks); 637 #endif 638 jac->dm_Nf[ii] = Nf; 639 } 640 { // d_bid_eqOffset_k 641 Kokkos::View<PetscInt*, Kokkos::LayoutRight, Kokkos::HostSpace> h_block_offsets("block_offsets", jac->nBlocks+1); 642 ierr = DMCompositeGetAccessArray(pack, jac->vec_diag, nDMs, NULL, subX);CHKERRQ(ierr); 643 h_block_offsets[0] = 0; 644 jac->const_block_size = -1; 645 for (PetscInt ii=0, idx = 0;ii<nDMs;ii++) { 646 PetscInt nloc,nblk; 647 ierr = VecGetSize(subX[ii],&nloc);CHKERRQ(ierr); 648 nblk = nloc/jac->dm_Nf[ii]; 649 PetscCheck(nloc%jac->dm_Nf[ii] == 0,PetscObjectComm((PetscObject)pc),PETSC_ERR_USER,"nloc%jac->dm_Nf[ii] DMs",nloc,jac->dm_Nf[ii]); 650 for (PetscInt jj=0;jj<jac->dm_Nf[ii];jj++, idx++) { 651 h_block_offsets[idx+1] = h_block_offsets[idx] + nblk; 652 #if PCBJKOKKOS_VERBOSE_LEVEL <= 2 653 if (idx==0) {ierr = PetscInfo(pc,"\t%D) Add block with %D equations of %D\n",idx+1,nblk,jac->nBlocks);CHKERRQ(ierr);} 654 #else 655 ierr = PetscInfo(pc,"\t%D) Add block with %D equations of %D\n",idx+1,nblk,jac->nBlocks);CHKERRQ(ierr); 656 #endif 657 if (jac->const_block_size == -1) jac->const_block_size = nblk; 658 else if (jac->const_block_size > 0 && jac->const_block_size != nblk) jac->const_block_size = 0; 659 } 660 } 661 ierr = DMCompositeRestoreAccessArray(pack, jac->vec_diag, jac->nBlocks, NULL, subX);CHKERRQ(ierr); 662 ierr = PetscFree(subX);CHKERRQ(ierr); 663 ierr = PetscFree(subDM);CHKERRQ(ierr); 664 jac->d_bid_eqOffset_k = new Kokkos::View<PetscInt*, Kokkos::LayoutRight>(Kokkos::create_mirror(Kokkos::DefaultExecutionSpace::memory_space(),h_block_offsets)); 665 Kokkos::deep_copy (*jac->d_bid_eqOffset_k, h_block_offsets); 666 } 667 } 668 { // get jac->d_idiag_k (PC setup), 669 const PetscInt *d_ai=aijkok->i_device_data(), *d_aj=aijkok->j_device_data(); 670 const PetscScalar *d_aa = aijkok->a_device_data(); 671 const PetscInt conc = Kokkos::DefaultExecutionSpace().concurrency(), openmp = !!(conc < 1000), team_size = (openmp==0 && PCBJKOKKOS_VEC_SIZE != 1) ? PCBJKOKKOS_TEAM_SIZE : 1; 672 PetscInt *d_bid_eqOffset = jac->d_bid_eqOffset_k->data(), *r = jac->d_isrow_k->data(), *ic = jac->d_isicol_k->data(); 673 PetscScalar *d_idiag = jac->d_idiag_k->data(); 674 Kokkos::parallel_for("Diag", Kokkos::TeamPolicy<>(jac->nBlocks, team_size, PCBJKOKKOS_VEC_SIZE), KOKKOS_LAMBDA (const team_member team) { 675 const PetscInt blkID = team.league_rank(); 676 Kokkos::parallel_for 677 (Kokkos::TeamThreadRange(team,d_bid_eqOffset[blkID],d_bid_eqOffset[blkID+1]), 678 [=] (const int rowb) { 679 const PetscInt rowa = ic[rowb], ai = d_ai[rowa], *aj = d_aj + ai; // grab original data 680 const PetscScalar *aa = d_aa + ai; 681 const PetscInt nrow = d_ai[rowa + 1] - ai; 682 int found; 683 Kokkos::parallel_reduce 684 (Kokkos::ThreadVectorRange (team, nrow), 685 [=] (const int& j, int &count) { 686 const PetscInt colb = r[aj[j]]; 687 if (colb==rowb) { 688 d_idiag[rowb] = 1./aa[j]; 689 count++; 690 }}, found); 691 if (found!=1) Kokkos::single (Kokkos::PerThread (team), [=] () {printf("ERRORrow %d) found = %d\n",rowb,found);}); 692 }); 693 }); 694 } 695 } 696 PetscFunctionReturn(0); 697 } 698 699 /* Default destroy, if it has never been setup */ 700 static PetscErrorCode PCReset_BJKOKKOS(PC pc) 701 { 702 PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data; 703 PetscErrorCode ierr; 704 705 PetscFunctionBegin; 706 ierr = KSPDestroy(&jac->ksp);CHKERRQ(ierr); 707 ierr = VecDestroy(&jac->vec_diag);CHKERRQ(ierr); 708 if (jac->d_bid_eqOffset_k) delete jac->d_bid_eqOffset_k; 709 if (jac->d_idiag_k) delete jac->d_idiag_k; 710 if (jac->d_isrow_k) delete jac->d_isrow_k; 711 if (jac->d_isicol_k) delete jac->d_isicol_k; 712 jac->d_bid_eqOffset_k = NULL; 713 jac->d_idiag_k = NULL; 714 jac->d_isrow_k = NULL; 715 jac->d_isicol_k = NULL; 716 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJKOKKOSGetKSP_C",NULL);CHKERRQ(ierr); // not published now (causes configure errors) 717 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJKOKKOSSetKSP_C",NULL);CHKERRQ(ierr); 718 ierr = PetscFree(jac->dm_Nf);CHKERRQ(ierr); 719 jac->dm_Nf = NULL; 720 PetscFunctionReturn(0); 721 } 722 723 static PetscErrorCode PCDestroy_BJKOKKOS(PC pc) 724 { 725 PetscErrorCode ierr; 726 727 PetscFunctionBegin; 728 ierr = PCReset_BJKOKKOS(pc);CHKERRQ(ierr); 729 ierr = PetscFree(pc->data);CHKERRQ(ierr); 730 PetscFunctionReturn(0); 731 } 732 733 static PetscErrorCode PCView_BJKOKKOS(PC pc,PetscViewer viewer) 734 { 735 PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data; 736 PetscErrorCode ierr; 737 PetscBool iascii; 738 739 PetscFunctionBegin; 740 if (!jac->ksp) {ierr = PCBJKOKKOSCreateKSP_BJKOKKOS(pc);CHKERRQ(ierr);} 741 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 742 if (iascii) { 743 ierr = PetscViewerASCIIPrintf(viewer," Batched device linear solver: Krylov (KSP) method with Jacobi preconditioning\n");CHKERRQ(ierr); 744 ierr = PetscViewerASCIIPrintf(viewer,"\t\tnwork = %D, rel tol = %e, abs tol = %e, div tol = %e, max it =%D, type = %s\n",jac->nwork,jac->ksp->rtol, 745 jac->ksp->abstol, jac->ksp->divtol, jac->ksp->max_it, 746 ((PetscObject)jac->ksp)->type_name);CHKERRQ(ierr); 747 } 748 PetscFunctionReturn(0); 749 } 750 751 static PetscErrorCode PCSetFromOptions_BJKOKKOS(PetscOptionItems *PetscOptionsObject,PC pc) 752 { 753 PetscErrorCode ierr; 754 755 PetscFunctionBegin; 756 ierr = PetscOptionsHead(PetscOptionsObject,"PC BJKOKKOS options");CHKERRQ(ierr); 757 ierr = PetscOptionsTail();CHKERRQ(ierr); 758 PetscFunctionReturn(0); 759 } 760 761 static PetscErrorCode PCBJKOKKOSSetKSP_BJKOKKOS(PC pc,KSP ksp) 762 { 763 PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data; 764 PetscErrorCode ierr; 765 766 PetscFunctionBegin; 767 ierr = PetscObjectReference((PetscObject)ksp);CHKERRQ(ierr); 768 ierr = KSPDestroy(&jac->ksp);CHKERRQ(ierr); 769 jac->ksp = ksp; 770 PetscFunctionReturn(0); 771 } 772 773 /*@C 774 PCBJKOKKOSSetKSP - Sets the KSP context for a KSP PC. 775 776 Collective on PC 777 778 Input Parameters: 779 + pc - the preconditioner context 780 - ksp - the KSP solver 781 782 Notes: 783 The PC and the KSP must have the same communicator 784 785 Level: advanced 786 787 @*/ 788 PetscErrorCode PCBJKOKKOSSetKSP(PC pc,KSP ksp) 789 { 790 PetscErrorCode ierr; 791 792 PetscFunctionBegin; 793 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 794 PetscValidHeaderSpecific(ksp,KSP_CLASSID,2); 795 PetscCheckSameComm(pc,1,ksp,2); 796 ierr = PetscTryMethod(pc,"PCBJKOKKOSSetKSP_C",(PC,KSP),(pc,ksp));CHKERRQ(ierr); 797 PetscFunctionReturn(0); 798 } 799 800 static PetscErrorCode PCBJKOKKOSGetKSP_BJKOKKOS(PC pc,KSP *ksp) 801 { 802 PC_PCBJKOKKOS *jac = (PC_PCBJKOKKOS*)pc->data; 803 PetscErrorCode ierr; 804 805 PetscFunctionBegin; 806 if (!jac->ksp) {ierr = PCBJKOKKOSCreateKSP_BJKOKKOS(pc);CHKERRQ(ierr);} 807 *ksp = jac->ksp; 808 PetscFunctionReturn(0); 809 } 810 811 /*@C 812 PCBJKOKKOSGetKSP - Gets the KSP context for a KSP PC. 813 814 Not Collective but KSP returned is parallel if PC was parallel 815 816 Input Parameter: 817 . pc - the preconditioner context 818 819 Output Parameters: 820 . ksp - the KSP solver 821 822 Notes: 823 You must call KSPSetUp() before calling PCBJKOKKOSGetKSP(). 824 825 If the PC is not a PCBJKOKKOS object it raises an error 826 827 Level: advanced 828 829 @*/ 830 PetscErrorCode PCBJKOKKOSGetKSP(PC pc,KSP *ksp) 831 { 832 PetscErrorCode ierr; 833 834 PetscFunctionBegin; 835 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 836 PetscValidPointer(ksp,2); 837 ierr = PetscUseMethod(pc,"PCBJKOKKOSGetKSP_C",(PC,KSP*),(pc,ksp));CHKERRQ(ierr); 838 PetscFunctionReturn(0); 839 } 840 841 /* ----------------------------------------------------------------------------------*/ 842 843 /*MC 844 PCBJKOKKOS - Defines a preconditioner that applies a Krylov solver and preconditioner to the blocks in a AIJASeq matrix on the GPU. 845 846 Options Database Key: 847 . -pc_bjkokkos_ 848 849 Level: intermediate 850 851 Notes: 852 For use with -ksp_type preonly to bypass any CPU work 853 854 Developer Notes: 855 856 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, 857 PCSHELL, PCCOMPOSITE, PCSetUseAmat(), PCBJKOKKOSGetKSP() 858 859 M*/ 860 861 PETSC_EXTERN PetscErrorCode PCCreate_BJKOKKOS(PC pc) 862 { 863 PetscErrorCode ierr; 864 PC_PCBJKOKKOS *jac; 865 866 PetscFunctionBegin; 867 ierr = PetscNewLog(pc,&jac);CHKERRQ(ierr); 868 pc->data = (void*)jac; 869 870 jac->ksp = NULL; 871 jac->vec_diag = NULL; 872 jac->d_bid_eqOffset_k = NULL; 873 jac->d_idiag_k = NULL; 874 jac->d_isrow_k = NULL; 875 jac->d_isicol_k = NULL; 876 jac->nBlocks = 1; 877 878 ierr = PetscMemzero(pc->ops,sizeof(struct _PCOps));CHKERRQ(ierr); 879 pc->ops->apply = PCApply_BJKOKKOS; 880 pc->ops->applytranspose = NULL; 881 pc->ops->setup = PCSetUp_BJKOKKOS; 882 pc->ops->reset = PCReset_BJKOKKOS; 883 pc->ops->destroy = PCDestroy_BJKOKKOS; 884 pc->ops->setfromoptions = PCSetFromOptions_BJKOKKOS; 885 pc->ops->view = PCView_BJKOKKOS; 886 887 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJKOKKOSGetKSP_C",PCBJKOKKOSGetKSP_BJKOKKOS);CHKERRQ(ierr); 888 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJKOKKOSSetKSP_C",PCBJKOKKOSSetKSP_BJKOKKOS);CHKERRQ(ierr); 889 PetscFunctionReturn(0); 890 } 891