parallel.cu 19.4 KB
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470
//===---- parallel.cu - GPU OpenMP parallel implementation ------- CUDA -*-===//
//
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
// See https://llvm.org/LICENSE.txt for license information.
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
//
//===----------------------------------------------------------------------===//
//
// Parallel implementation in the GPU. Here is the pattern:
//
//    while (not finished) {
//
//    if (master) {
//      sequential code, decide which par loop to do, or if finished
//     __kmpc_kernel_prepare_parallel() // exec by master only
//    }
//    syncthreads // A
//    __kmpc_kernel_parallel() // exec by all
//    if (this thread is included in the parallel) {
//      switch () for all parallel loops
//      __kmpc_kernel_end_parallel() // exec only by threads in parallel
//    }
//
//
//    The reason we don't exec end_parallel for the threads not included
//    in the parallel loop is that for each barrier in the parallel
//    region, these non-included threads will cycle through the
//    syncthread A. Thus they must preserve their current threadId that
//    is larger than thread in team.
//
//    To make a long story short...
//
//===----------------------------------------------------------------------===//

#include "common/omptarget.h"
#include "target_impl.h"

typedef struct ConvergentSimdJob {
  omptarget_nvptx_TaskDescr taskDescr;
  omptarget_nvptx_TaskDescr *convHeadTaskDescr;
  uint16_t slimForNextSimd;
} ConvergentSimdJob;

////////////////////////////////////////////////////////////////////////////////
// support for convergent simd (team of threads in a warp only)
////////////////////////////////////////////////////////////////////////////////
EXTERN bool __kmpc_kernel_convergent_simd(void *buffer,
                                          __kmpc_impl_lanemask_t Mask,
                                          bool *IsFinal, int32_t *LaneSource,
                                          int32_t *LaneId, int32_t *NumLanes) {
  PRINT0(LD_IO, "call to __kmpc_kernel_convergent_simd\n");
  __kmpc_impl_lanemask_t ConvergentMask = Mask;
  int32_t ConvergentSize = __kmpc_impl_popc(ConvergentMask);
  __kmpc_impl_lanemask_t WorkRemaining = ConvergentMask >> (*LaneSource + 1);
  *LaneSource += __kmpc_impl_ffs(WorkRemaining);
  *IsFinal = __kmpc_impl_popc(WorkRemaining) == 1;
  __kmpc_impl_lanemask_t lanemask_lt = __kmpc_impl_lanemask_lt();
  *LaneId = __kmpc_impl_popc(ConvergentMask & lanemask_lt);

  int threadId = GetLogicalThreadIdInBlock(isSPMDMode());
  int sourceThreadId = (threadId & ~(WARPSIZE - 1)) + *LaneSource;

  ConvergentSimdJob *job = (ConvergentSimdJob *)buffer;
  int32_t SimdLimit =
      omptarget_nvptx_threadPrivateContext->SimdLimitForNextSimd(threadId);
  job->slimForNextSimd = SimdLimit;

  int32_t SimdLimitSource = __kmpc_impl_shfl_sync(Mask, SimdLimit, *LaneSource);
  // reset simdlimit to avoid propagating to successive #simd
  if (SimdLimitSource > 0 && threadId == sourceThreadId)
    omptarget_nvptx_threadPrivateContext->SimdLimitForNextSimd(threadId) = 0;

  // We cannot have more than the # of convergent threads.
  if (SimdLimitSource > 0)
    *NumLanes = __kmpc_impl_min(ConvergentSize, SimdLimitSource);
  else
    *NumLanes = ConvergentSize;
  ASSERT(LT_FUSSY, *NumLanes > 0, "bad thread request of %d threads",
         (int)*NumLanes);

  // Set to true for lanes participating in the simd region.
  bool isActive = false;
  // Initialize state for active threads.
  if (*LaneId < *NumLanes) {
    omptarget_nvptx_TaskDescr *currTaskDescr =
        omptarget_nvptx_threadPrivateContext->GetTopLevelTaskDescr(threadId);
    omptarget_nvptx_TaskDescr *sourceTaskDescr =
        omptarget_nvptx_threadPrivateContext->GetTopLevelTaskDescr(
            sourceThreadId);
    job->convHeadTaskDescr = currTaskDescr;
    // install top descriptor from the thread for which the lanes are working.
    omptarget_nvptx_threadPrivateContext->SetTopLevelTaskDescr(threadId,
                                                               sourceTaskDescr);
    isActive = true;
  }

  // requires a memory fence between threads of a warp
  return isActive;
}

EXTERN void __kmpc_kernel_end_convergent_simd(void *buffer) {
  PRINT0(LD_IO | LD_PAR, "call to __kmpc_kernel_end_convergent_parallel\n");
  // pop stack
  int threadId = GetLogicalThreadIdInBlock(isSPMDMode());
  ConvergentSimdJob *job = (ConvergentSimdJob *)buffer;
  omptarget_nvptx_threadPrivateContext->SimdLimitForNextSimd(threadId) =
      job->slimForNextSimd;
  omptarget_nvptx_threadPrivateContext->SetTopLevelTaskDescr(
      threadId, job->convHeadTaskDescr);
}

typedef struct ConvergentParallelJob {
  omptarget_nvptx_TaskDescr taskDescr;
  omptarget_nvptx_TaskDescr *convHeadTaskDescr;
  uint16_t tnumForNextPar;
} ConvergentParallelJob;

////////////////////////////////////////////////////////////////////////////////
// support for convergent parallelism (team of threads in a warp only)
////////////////////////////////////////////////////////////////////////////////
EXTERN bool __kmpc_kernel_convergent_parallel(void *buffer,
                                              __kmpc_impl_lanemask_t Mask,
                                              bool *IsFinal,
                                              int32_t *LaneSource) {
  PRINT0(LD_IO, "call to __kmpc_kernel_convergent_parallel\n");
  __kmpc_impl_lanemask_t ConvergentMask = Mask;
  int32_t ConvergentSize = __kmpc_impl_popc(ConvergentMask);
  __kmpc_impl_lanemask_t WorkRemaining = ConvergentMask >> (*LaneSource + 1);
  *LaneSource += __kmpc_impl_ffs(WorkRemaining);
  *IsFinal = __kmpc_impl_popc(WorkRemaining) == 1;
  __kmpc_impl_lanemask_t lanemask_lt = __kmpc_impl_lanemask_lt();
  uint32_t OmpId = __kmpc_impl_popc(ConvergentMask & lanemask_lt);

  int threadId = GetLogicalThreadIdInBlock(isSPMDMode());
  int sourceThreadId = (threadId & ~(WARPSIZE - 1)) + *LaneSource;

  ConvergentParallelJob *job = (ConvergentParallelJob *)buffer;
  int32_t NumThreadsClause =
      omptarget_nvptx_threadPrivateContext->NumThreadsForNextParallel(threadId);
  job->tnumForNextPar = NumThreadsClause;

  int32_t NumThreadsSource =
      __kmpc_impl_shfl_sync(Mask, NumThreadsClause, *LaneSource);
  // reset numthreads to avoid propagating to successive #parallel
  if (NumThreadsSource > 0 && threadId == sourceThreadId)
    omptarget_nvptx_threadPrivateContext->NumThreadsForNextParallel(threadId) =
        0;

  // We cannot have more than the # of convergent threads.
  uint16_t NumThreads;
  if (NumThreadsSource > 0)
    NumThreads = __kmpc_impl_min(ConvergentSize, NumThreadsSource);
  else
    NumThreads = ConvergentSize;
  ASSERT(LT_FUSSY, NumThreads > 0, "bad thread request of %d threads",
         (int)NumThreads);

  // Set to true for workers participating in the parallel region.
  bool isActive = false;
  // Initialize state for active threads.
  if (OmpId < NumThreads) {
    // init L2 task descriptor and storage for the L1 parallel task descriptor.
    omptarget_nvptx_TaskDescr *newTaskDescr = &job->taskDescr;
    ASSERT0(LT_FUSSY, newTaskDescr, "expected a task descr");
    omptarget_nvptx_TaskDescr *currTaskDescr =
        omptarget_nvptx_threadPrivateContext->GetTopLevelTaskDescr(threadId);
    omptarget_nvptx_TaskDescr *sourceTaskDescr =
        omptarget_nvptx_threadPrivateContext->GetTopLevelTaskDescr(
            sourceThreadId);
    job->convHeadTaskDescr = currTaskDescr;
    newTaskDescr->CopyConvergentParent(sourceTaskDescr, OmpId, NumThreads);
    // install new top descriptor
    omptarget_nvptx_threadPrivateContext->SetTopLevelTaskDescr(threadId,
                                                               newTaskDescr);
    isActive = true;
  }

  // requires a memory fence between threads of a warp
  return isActive;
}

EXTERN void __kmpc_kernel_end_convergent_parallel(void *buffer) {
  PRINT0(LD_IO | LD_PAR, "call to __kmpc_kernel_end_convergent_parallel\n");
  // pop stack
  int threadId = GetLogicalThreadIdInBlock(isSPMDMode());
  ConvergentParallelJob *job = (ConvergentParallelJob *)buffer;
  omptarget_nvptx_threadPrivateContext->SetTopLevelTaskDescr(
      threadId, job->convHeadTaskDescr);
  omptarget_nvptx_threadPrivateContext->NumThreadsForNextParallel(threadId) =
      job->tnumForNextPar;
}

////////////////////////////////////////////////////////////////////////////////
// support for parallel that goes parallel (1 static level only)
////////////////////////////////////////////////////////////////////////////////

INLINE static uint16_t determineNumberOfThreads(uint16_t NumThreadsClause,
                                                uint16_t NThreadsICV,
                                                uint16_t ThreadLimit) {
  uint16_t ThreadsRequested = NThreadsICV;
  if (NumThreadsClause != 0) {
    ThreadsRequested = NumThreadsClause;
  }

  uint16_t ThreadsAvailable = GetNumberOfWorkersInTeam();
  if (ThreadLimit != 0 && ThreadLimit < ThreadsAvailable) {
    ThreadsAvailable = ThreadLimit;
  }

  uint16_t NumThreads = ThreadsAvailable;
  if (ThreadsRequested != 0 && ThreadsRequested < NumThreads) {
    NumThreads = ThreadsRequested;
  }

#if defined(__CUDA_ARCH__) && __CUDA_ARCH__ >= 700
  // On Volta and newer architectures we require that all lanes in
  // a warp participate in the parallel region.  Round down to a
  // multiple of WARPSIZE since it is legal to do so in OpenMP.
  if (NumThreads < WARPSIZE) {
    NumThreads = 1;
  } else {
    NumThreads = (NumThreads & ~((uint16_t)WARPSIZE - 1));
  }
#endif

  return NumThreads;
}

// This routine is always called by the team master..
EXTERN void __kmpc_kernel_prepare_parallel(void *WorkFn,
                                           int16_t IsOMPRuntimeInitialized) {
  PRINT0(LD_IO, "call to __kmpc_kernel_prepare_parallel\n");
  ASSERT0(LT_FUSSY, IsOMPRuntimeInitialized, "Expected initialized runtime.");

  omptarget_nvptx_workFn = WorkFn;

  // This routine is only called by the team master.  The team master is
  // the first thread of the last warp.  It always has the logical thread
  // id of 0 (since it is a shadow for the first worker thread).
  const int threadId = 0;
  omptarget_nvptx_TaskDescr *currTaskDescr =
      omptarget_nvptx_threadPrivateContext->GetTopLevelTaskDescr(threadId);
  ASSERT0(LT_FUSSY, currTaskDescr, "expected a top task descr");
  ASSERT0(LT_FUSSY, !currTaskDescr->InParallelRegion(),
          "cannot be called in a parallel region.");
  if (currTaskDescr->InParallelRegion()) {
    PRINT0(LD_PAR, "already in parallel: go seq\n");
    return;
  }

  uint16_t &NumThreadsClause =
      omptarget_nvptx_threadPrivateContext->NumThreadsForNextParallel(threadId);

  uint16_t NumThreads =
      determineNumberOfThreads(NumThreadsClause, nThreads, threadLimit);

  if (NumThreadsClause != 0) {
    // Reset request to avoid propagating to successive #parallel
    NumThreadsClause = 0;
  }

  ASSERT(LT_FUSSY, NumThreads > 0, "bad thread request of %d threads",
         (int)NumThreads);
  ASSERT0(LT_FUSSY, GetThreadIdInBlock() == GetMasterThreadID(),
          "only team master can create parallel");

  // Set number of threads on work descriptor.
  omptarget_nvptx_WorkDescr &workDescr = getMyWorkDescriptor();
  workDescr.WorkTaskDescr()->CopyToWorkDescr(currTaskDescr);
  threadsInTeam = NumThreads;
}

// All workers call this function.  Deactivate those not needed.
// Fn - the outlined work function to execute.
// returns True if this thread is active, else False.
//
// Only the worker threads call this routine.
EXTERN bool __kmpc_kernel_parallel(void **WorkFn,
                                   int16_t IsOMPRuntimeInitialized) {
  PRINT0(LD_IO | LD_PAR, "call to __kmpc_kernel_parallel\n");

  ASSERT0(LT_FUSSY, IsOMPRuntimeInitialized, "Expected initialized runtime.");

  // Work function and arguments for L1 parallel region.
  *WorkFn = omptarget_nvptx_workFn;

  // If this is the termination signal from the master, quit early.
  if (!*WorkFn) {
    PRINT0(LD_IO | LD_PAR, "call to __kmpc_kernel_parallel finished\n");
    return false;
  }

  // Only the worker threads call this routine and the master warp
  // never arrives here.  Therefore, use the nvptx thread id.
  int threadId = GetThreadIdInBlock();
  omptarget_nvptx_WorkDescr &workDescr = getMyWorkDescriptor();
  // Set to true for workers participating in the parallel region.
  bool isActive = false;
  // Initialize state for active threads.
  if (threadId < threadsInTeam) {
    // init work descriptor from workdesccr
    omptarget_nvptx_TaskDescr *newTaskDescr =
        omptarget_nvptx_threadPrivateContext->Level1TaskDescr(threadId);
    ASSERT0(LT_FUSSY, newTaskDescr, "expected a task descr");
    newTaskDescr->CopyFromWorkDescr(workDescr.WorkTaskDescr());
    // install new top descriptor
    omptarget_nvptx_threadPrivateContext->SetTopLevelTaskDescr(threadId,
                                                               newTaskDescr);
    // init private from int value
    PRINT(LD_PAR,
          "thread will execute parallel region with id %d in a team of "
          "%d threads\n",
          (int)newTaskDescr->ThreadId(), (int)nThreads);

    isActive = true;
    // Reconverge the threads at the end of the parallel region to correctly
    // handle parallel levels.
    // In Cuda9+ in non-SPMD mode we have either 1 worker thread or the whole
    // warp. If only 1 thread is active, not need to reconverge the threads.
    // If we have the whole warp, reconverge all the threads in the warp before
    // actually trying to change the parallel level. Otherwise, parallel level
    // can be changed incorrectly because of threads divergence.
    bool IsActiveParallelRegion = threadsInTeam != 1;
    IncParallelLevel(IsActiveParallelRegion,
                     IsActiveParallelRegion ? __kmpc_impl_all_lanes : 1u);
  }

  return isActive;
}

EXTERN void __kmpc_kernel_end_parallel() {
  // pop stack
  PRINT0(LD_IO | LD_PAR, "call to __kmpc_kernel_end_parallel\n");
  ASSERT0(LT_FUSSY, isRuntimeInitialized(), "Expected initialized runtime.");

  // Only the worker threads call this routine and the master warp
  // never arrives here.  Therefore, use the nvptx thread id.
  int threadId = GetThreadIdInBlock();
  omptarget_nvptx_TaskDescr *currTaskDescr = getMyTopTaskDescriptor(threadId);
  omptarget_nvptx_threadPrivateContext->SetTopLevelTaskDescr(
      threadId, currTaskDescr->GetPrevTaskDescr());

  // Reconverge the threads at the end of the parallel region to correctly
  // handle parallel levels.
  // In Cuda9+ in non-SPMD mode we have either 1 worker thread or the whole
  // warp. If only 1 thread is active, not need to reconverge the threads.
  // If we have the whole warp, reconverge all the threads in the warp before
  // actually trying to change the parallel level. Otherwise, parallel level can
  // be changed incorrectly because of threads divergence.
    bool IsActiveParallelRegion = threadsInTeam != 1;
    DecParallelLevel(IsActiveParallelRegion,
                     IsActiveParallelRegion ? __kmpc_impl_all_lanes : 1u);
}

////////////////////////////////////////////////////////////////////////////////
// support for parallel that goes sequential
////////////////////////////////////////////////////////////////////////////////

EXTERN void __kmpc_serialized_parallel(kmp_Ident *loc, uint32_t global_tid) {
  PRINT0(LD_IO, "call to __kmpc_serialized_parallel\n");

  IncParallelLevel(/*ActiveParallel=*/false, __kmpc_impl_activemask());

  if (checkRuntimeUninitialized(loc)) {
    ASSERT0(LT_FUSSY, checkSPMDMode(loc),
            "Expected SPMD mode with uninitialized runtime.");
    return;
  }

  // assume this is only called for nested parallel
  int threadId = GetLogicalThreadIdInBlock(checkSPMDMode(loc));

  // unlike actual parallel, threads in the same team do not share
  // the workTaskDescr in this case and num threads is fixed to 1

  // get current task
  omptarget_nvptx_TaskDescr *currTaskDescr = getMyTopTaskDescriptor(threadId);
  currTaskDescr->SaveLoopData();

  // allocate new task descriptor and copy value from current one, set prev to
  // it
  omptarget_nvptx_TaskDescr *newTaskDescr =
      (omptarget_nvptx_TaskDescr *)SafeMalloc(sizeof(omptarget_nvptx_TaskDescr),
                                              "new seq parallel task");
  newTaskDescr->CopyParent(currTaskDescr);

  // tweak values for serialized parallel case:
  // - each thread becomes ID 0 in its serialized parallel, and
  // - there is only one thread per team
  newTaskDescr->ThreadId() = 0;

  // set new task descriptor as top
  omptarget_nvptx_threadPrivateContext->SetTopLevelTaskDescr(threadId,
                                                             newTaskDescr);
}

EXTERN void __kmpc_end_serialized_parallel(kmp_Ident *loc,
                                           uint32_t global_tid) {
  PRINT0(LD_IO, "call to __kmpc_end_serialized_parallel\n");

  DecParallelLevel(/*ActiveParallel=*/false, __kmpc_impl_activemask());

  if (checkRuntimeUninitialized(loc)) {
    ASSERT0(LT_FUSSY, checkSPMDMode(loc),
            "Expected SPMD mode with uninitialized runtime.");
    return;
  }

  // pop stack
  int threadId = GetLogicalThreadIdInBlock(checkSPMDMode(loc));
  omptarget_nvptx_TaskDescr *currTaskDescr = getMyTopTaskDescriptor(threadId);
  // set new top
  omptarget_nvptx_threadPrivateContext->SetTopLevelTaskDescr(
      threadId, currTaskDescr->GetPrevTaskDescr());
  // free
  SafeFree(currTaskDescr, "new seq parallel task");
  currTaskDescr = getMyTopTaskDescriptor(threadId);
  currTaskDescr->RestoreLoopData();
}

EXTERN uint16_t __kmpc_parallel_level(kmp_Ident *loc, uint32_t global_tid) {
  PRINT0(LD_IO, "call to __kmpc_parallel_level\n");

  return parallelLevel[GetWarpId()] & (OMP_ACTIVE_PARALLEL_LEVEL - 1);
}

// This kmpc call returns the thread id across all teams. It's value is
// cached by the compiler and used when calling the runtime. On nvptx
// it's cheap to recalculate this value so we never use the result
// of this call.
EXTERN int32_t __kmpc_global_thread_num(kmp_Ident *loc) {
  int tid = GetLogicalThreadIdInBlock(checkSPMDMode(loc));
  return GetOmpThreadId(tid, checkSPMDMode(loc));
}

////////////////////////////////////////////////////////////////////////////////
// push params
////////////////////////////////////////////////////////////////////////////////

EXTERN void __kmpc_push_num_threads(kmp_Ident *loc, int32_t tid,
                                    int32_t num_threads) {
  PRINT(LD_IO, "call kmpc_push_num_threads %d\n", num_threads);
  ASSERT0(LT_FUSSY, checkRuntimeInitialized(loc), "Runtime must be initialized.");
  tid = GetLogicalThreadIdInBlock(checkSPMDMode(loc));
  omptarget_nvptx_threadPrivateContext->NumThreadsForNextParallel(tid) =
      num_threads;
}

EXTERN void __kmpc_push_simd_limit(kmp_Ident *loc, int32_t tid,
                                   int32_t simd_limit) {
  PRINT(LD_IO, "call kmpc_push_simd_limit %d\n", (int)simd_limit);
  ASSERT0(LT_FUSSY, checkRuntimeInitialized(loc), "Runtime must be initialized.");
  tid = GetLogicalThreadIdInBlock(checkSPMDMode(loc));
  omptarget_nvptx_threadPrivateContext->SimdLimitForNextSimd(tid) = simd_limit;
}

// Do nothing. The host guarantees we started the requested number of
// teams and we only need inspection of gridDim.

EXTERN void __kmpc_push_num_teams(kmp_Ident *loc, int32_t tid,
                                  int32_t num_teams, int32_t thread_limit) {
  PRINT(LD_IO, "call kmpc_push_num_teams %d\n", (int)num_teams);
  ASSERT0(LT_FUSSY, 0,
          "should never have anything with new teams on device");
}

EXTERN void __kmpc_push_proc_bind(kmp_Ident *loc, uint32_t tid,
                                  int proc_bind) {
  PRINT(LD_IO, "call kmpc_push_proc_bind %d\n", (int)proc_bind);
}