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