compute_unit.cc revision 11364:1bd9f1b27438
1/* 2 * Copyright (c) 2011-2015 Advanced Micro Devices, Inc. 3 * All rights reserved. 4 * 5 * For use for simulation and test purposes only 6 * 7 * Redistribution and use in source and binary forms, with or without 8 * modification, are permitted provided that the following conditions are met: 9 * 10 * 1. Redistributions of source code must retain the above copyright notice, 11 * this list of conditions and the following disclaimer. 12 * 13 * 2. Redistributions in binary form must reproduce the above copyright notice, 14 * this list of conditions and the following disclaimer in the documentation 15 * and/or other materials provided with the distribution. 16 * 17 * 3. Neither the name of the copyright holder nor the names of its contributors 18 * may be used to endorse or promote products derived from this software 19 * without specific prior written permission. 20 * 21 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" 22 * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE 23 * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE 24 * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE 25 * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR 26 * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF 27 * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS 28 * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN 29 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) 30 * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE 31 * POSSIBILITY OF SUCH DAMAGE. 32 * 33 * Author: John Kalamatianos, Anthony Gutierrez 34 */ 35 36#include "gpu-compute/compute_unit.hh" 37 38#include "base/output.hh" 39#include "debug/GPUDisp.hh" 40#include "debug/GPUExec.hh" 41#include "debug/GPUFetch.hh" 42#include "debug/GPUMem.hh" 43#include "debug/GPUPort.hh" 44#include "debug/GPUPrefetch.hh" 45#include "debug/GPUSync.hh" 46#include "debug/GPUTLB.hh" 47#include "gpu-compute/dispatcher.hh" 48#include "gpu-compute/gpu_dyn_inst.hh" 49#include "gpu-compute/gpu_static_inst.hh" 50#include "gpu-compute/ndrange.hh" 51#include "gpu-compute/shader.hh" 52#include "gpu-compute/simple_pool_manager.hh" 53#include "gpu-compute/vector_register_file.hh" 54#include "gpu-compute/wavefront.hh" 55#include "mem/page_table.hh" 56#include "sim/process.hh" 57 58ComputeUnit::ComputeUnit(const Params *p) : MemObject(p), fetchStage(p), 59 scoreboardCheckStage(p), scheduleStage(p), execStage(p), 60 globalMemoryPipe(p), localMemoryPipe(p), rrNextMemID(0), rrNextALUWp(0), 61 cu_id(p->cu_id), vrf(p->vector_register_file), numSIMDs(p->num_SIMDs), 62 spBypassPipeLength(p->spbypass_pipe_length), 63 dpBypassPipeLength(p->dpbypass_pipe_length), 64 issuePeriod(p->issue_period), 65 numGlbMemUnits(p->num_global_mem_pipes), 66 numLocMemUnits(p->num_shared_mem_pipes), 67 perLaneTLB(p->perLaneTLB), prefetchDepth(p->prefetch_depth), 68 prefetchStride(p->prefetch_stride), prefetchType(p->prefetch_prev_type), 69 xact_cas_mode(p->xactCasMode), debugSegFault(p->debugSegFault), 70 functionalTLB(p->functionalTLB), localMemBarrier(p->localMemBarrier), 71 countPages(p->countPages), barrier_id(0), 72 vrfToCoalescerBusWidth(p->vrf_to_coalescer_bus_width), 73 coalescerToVrfBusWidth(p->coalescer_to_vrf_bus_width), 74 req_tick_latency(p->mem_req_latency * p->clk_domain->clockPeriod()), 75 resp_tick_latency(p->mem_resp_latency * p->clk_domain->clockPeriod()), 76 _masterId(p->system->getMasterId(name() + ".ComputeUnit")), 77 lds(*p->localDataStore), globalSeqNum(0), wavefrontSize(p->wfSize) 78{ 79 // this check will be eliminated once we have wavefront size support added 80 fatal_if(p->wfSize != VSZ, "Wavefront size parameter does not match VSZ"); 81 // calculate how many cycles a vector load or store will need to transfer 82 // its data over the corresponding buses 83 numCyclesPerStoreTransfer = (uint32_t)ceil((double)(VSZ * sizeof(uint32_t)) 84 / (double)vrfToCoalescerBusWidth); 85 86 numCyclesPerLoadTransfer = (VSZ * sizeof(uint32_t)) 87 / coalescerToVrfBusWidth; 88 89 lastVaddrWF.resize(numSIMDs); 90 wfList.resize(numSIMDs); 91 92 for (int j = 0; j < numSIMDs; ++j) { 93 lastVaddrWF[j].resize(p->n_wf); 94 95 for (int i = 0; i < p->n_wf; ++i) { 96 lastVaddrWF[j][i].resize(VSZ); 97 98 wfList[j].push_back(p->wavefronts[j * p->n_wf + i]); 99 wfList[j][i]->setParent(this); 100 101 for (int k = 0; k < VSZ; ++k) { 102 lastVaddrWF[j][i][k] = 0; 103 } 104 } 105 } 106 107 lastVaddrPhase.resize(numSIMDs); 108 109 for (int i = 0; i < numSIMDs; ++i) { 110 lastVaddrPhase[i] = LastVaddrWave(); 111 } 112 113 lastVaddrCU = LastVaddrWave(); 114 115 lds.setParent(this); 116 117 if (p->execPolicy == "OLDEST-FIRST") { 118 exec_policy = EXEC_POLICY::OLDEST; 119 } else if (p->execPolicy == "ROUND-ROBIN") { 120 exec_policy = EXEC_POLICY::RR; 121 } else { 122 fatal("Invalid WF execution policy (CU)\n"); 123 } 124 125 memPort.resize(VSZ); 126 127 // resize the tlbPort vectorArray 128 int tlbPort_width = perLaneTLB ? VSZ : 1; 129 tlbPort.resize(tlbPort_width); 130 131 cuExitCallback = new CUExitCallback(this); 132 registerExitCallback(cuExitCallback); 133 134 xactCasLoadMap.clear(); 135 lastExecCycle.resize(numSIMDs, 0); 136 137 for (int i = 0; i < vrf.size(); ++i) { 138 vrf[i]->setParent(this); 139 } 140 141 numVecRegsPerSimd = vrf[0]->numRegs(); 142} 143 144ComputeUnit::~ComputeUnit() 145{ 146 // Delete wavefront slots 147 148 for (int j = 0; j < numSIMDs; ++j) 149 for (int i = 0; i < shader->n_wf; ++i) { 150 delete wfList[j][i]; 151 } 152 153 readyList.clear(); 154 waveStatusList.clear(); 155 dispatchList.clear(); 156 vectorAluInstAvail.clear(); 157 delete cuExitCallback; 158 delete ldsPort; 159} 160 161void 162ComputeUnit::FillKernelState(Wavefront *w, NDRange *ndr) 163{ 164 w->resizeRegFiles(ndr->q.cRegCount, ndr->q.sRegCount, ndr->q.dRegCount); 165 166 w->workgroupsz[0] = ndr->q.wgSize[0]; 167 w->workgroupsz[1] = ndr->q.wgSize[1]; 168 w->workgroupsz[2] = ndr->q.wgSize[2]; 169 w->wg_sz = w->workgroupsz[0] * w->workgroupsz[1] * w->workgroupsz[2]; 170 w->gridsz[0] = ndr->q.gdSize[0]; 171 w->gridsz[1] = ndr->q.gdSize[1]; 172 w->gridsz[2] = ndr->q.gdSize[2]; 173 w->kernelArgs = ndr->q.args; 174 w->privSizePerItem = ndr->q.privMemPerItem; 175 w->spillSizePerItem = ndr->q.spillMemPerItem; 176 w->roBase = ndr->q.roMemStart; 177 w->roSize = ndr->q.roMemTotal; 178} 179 180void 181ComputeUnit::InitializeWFContext(WFContext *wfCtx, NDRange *ndr, int cnt, 182 int trueWgSize[], int trueWgSizeTotal, 183 LdsChunk *ldsChunk, uint64_t origSpillMemStart) 184{ 185 wfCtx->cnt = cnt; 186 187 VectorMask init_mask; 188 init_mask.reset(); 189 190 for (int k = 0; k < VSZ; ++k) { 191 if (k + cnt * VSZ < trueWgSizeTotal) 192 init_mask[k] = 1; 193 } 194 195 wfCtx->init_mask = init_mask.to_ullong(); 196 wfCtx->exec_mask = init_mask.to_ullong(); 197 198 for (int i = 0; i < VSZ; ++i) { 199 wfCtx->bar_cnt[i] = 0; 200 } 201 202 wfCtx->max_bar_cnt = 0; 203 wfCtx->old_barrier_cnt = 0; 204 wfCtx->barrier_cnt = 0; 205 206 wfCtx->privBase = ndr->q.privMemStart; 207 ndr->q.privMemStart += ndr->q.privMemPerItem * VSZ; 208 209 wfCtx->spillBase = ndr->q.spillMemStart; 210 ndr->q.spillMemStart += ndr->q.spillMemPerItem * VSZ; 211 212 wfCtx->pc = 0; 213 wfCtx->rpc = UINT32_MAX; 214 215 // set the wavefront context to have a pointer to this section of the LDS 216 wfCtx->ldsChunk = ldsChunk; 217 218 // WG state 219 wfCtx->wg_id = ndr->globalWgId; 220 wfCtx->barrier_id = barrier_id; 221 222 // Kernel wide state 223 wfCtx->ndr = ndr; 224} 225 226void 227ComputeUnit::updateEvents() { 228 229 if (!timestampVec.empty()) { 230 uint32_t vecSize = timestampVec.size(); 231 uint32_t i = 0; 232 while (i < vecSize) { 233 if (timestampVec[i] <= shader->tick_cnt) { 234 std::pair<uint32_t, uint32_t> regInfo = regIdxVec[i]; 235 vrf[regInfo.first]->markReg(regInfo.second, sizeof(uint32_t), 236 statusVec[i]); 237 timestampVec.erase(timestampVec.begin() + i); 238 regIdxVec.erase(regIdxVec.begin() + i); 239 statusVec.erase(statusVec.begin() + i); 240 --vecSize; 241 --i; 242 } 243 ++i; 244 } 245 } 246 247 for (int i = 0; i< numSIMDs; ++i) { 248 vrf[i]->updateEvents(); 249 } 250} 251 252 253void 254ComputeUnit::StartWF(Wavefront *w, WFContext *wfCtx, int trueWgSize[], 255 int trueWgSizeTotal) 256{ 257 static int _n_wave = 0; 258 int cnt = wfCtx->cnt; 259 NDRange *ndr = wfCtx->ndr; 260 261 // Fill in Kernel state 262 FillKernelState(w, ndr); 263 264 w->kern_id = ndr->dispatchId; 265 w->dynwaveid = cnt; 266 w->init_mask = wfCtx->init_mask; 267 268 for (int k = 0; k < VSZ; ++k) { 269 w->workitemid[0][k] = (k+cnt*VSZ) % trueWgSize[0]; 270 w->workitemid[1][k] = ((k + cnt * VSZ) / trueWgSize[0]) % trueWgSize[1]; 271 w->workitemid[2][k] = (k + cnt * VSZ) / (trueWgSize[0] * trueWgSize[1]); 272 273 w->workitemFlatId[k] = w->workitemid[2][k] * trueWgSize[0] * 274 trueWgSize[1] + w->workitemid[1][k] * trueWgSize[0] + 275 w->workitemid[0][k]; 276 } 277 278 w->old_barrier_cnt = wfCtx->old_barrier_cnt; 279 w->barrier_cnt = wfCtx->barrier_cnt; 280 w->barrier_slots = divCeil(trueWgSizeTotal, VSZ); 281 282 for (int i = 0; i < VSZ; ++i) { 283 w->bar_cnt[i] = wfCtx->bar_cnt[i]; 284 } 285 286 w->max_bar_cnt = wfCtx->max_bar_cnt; 287 w->privBase = wfCtx->privBase; 288 w->spillBase = wfCtx->spillBase; 289 290 w->pushToReconvergenceStack(wfCtx->pc, wfCtx->rpc, wfCtx->exec_mask); 291 292 // WG state 293 w->wg_id = wfCtx->wg_id; 294 w->dispatchid = wfCtx->ndr->dispatchId; 295 w->workgroupid[0] = w->wg_id % ndr->numWg[0]; 296 w->workgroupid[1] = (w->wg_id / ndr->numWg[0]) % ndr->numWg[1]; 297 w->workgroupid[2] = w->wg_id / (ndr->numWg[0] * ndr->numWg[1]); 298 299 w->barrier_id = wfCtx->barrier_id; 300 w->stalledAtBarrier = false; 301 302 // move this from the context into the actual wavefront 303 w->ldsChunk = wfCtx->ldsChunk; 304 305 int32_t refCount M5_VAR_USED = 306 lds.increaseRefCounter(w->dispatchid, w->wg_id); 307 DPRINTF(GPUDisp, "CU%d: increase ref ctr wg[%d] to [%d]\n", 308 cu_id, w->wg_id, refCount); 309 310 w->instructionBuffer.clear(); 311 312 if (w->pendingFetch) 313 w->dropFetch = true; 314 315 // is this the last wavefront in the workgroup 316 // if set the spillWidth to be the remaining work-items 317 // so that the vector access is correct 318 if ((cnt + 1) * VSZ >= trueWgSizeTotal) { 319 w->spillWidth = trueWgSizeTotal - (cnt * VSZ); 320 } else { 321 w->spillWidth = VSZ; 322 } 323 324 DPRINTF(GPUDisp, "Scheduling wfDynId/barrier_id %d/%d on CU%d: " 325 "WF[%d][%d]\n", _n_wave, barrier_id, cu_id, w->simdId, w->wfSlotId); 326 327 w->start(++_n_wave, ndr->q.code_ptr); 328} 329 330void 331ComputeUnit::StartWorkgroup(NDRange *ndr) 332{ 333 // reserve the LDS capacity allocated to the work group 334 // disambiguated by the dispatch ID and workgroup ID, which should be 335 // globally unique 336 LdsChunk *ldsChunk = lds.reserveSpace(ndr->dispatchId, ndr->globalWgId, 337 ndr->q.ldsSize); 338 339 // Send L1 cache acquire 340 // isKernel + isAcquire = Kernel Begin 341 if (shader->impl_kern_boundary_sync) { 342 GPUDynInstPtr gpuDynInst = std::make_shared<GPUDynInst>(nullptr, 343 nullptr, 344 nullptr, 0); 345 346 gpuDynInst->useContinuation = false; 347 gpuDynInst->memoryOrder = Enums::MEMORY_ORDER_SC_ACQUIRE; 348 gpuDynInst->scope = Enums::MEMORY_SCOPE_SYSTEM; 349 injectGlobalMemFence(gpuDynInst, true); 350 } 351 352 // Get true size of workgroup (after clamping to grid size) 353 int trueWgSize[3]; 354 int trueWgSizeTotal = 1; 355 356 for (int d = 0; d < 3; ++d) { 357 trueWgSize[d] = std::min(ndr->q.wgSize[d], ndr->q.gdSize[d] - 358 ndr->wgId[d] * ndr->q.wgSize[d]); 359 360 trueWgSizeTotal *= trueWgSize[d]; 361 } 362 363 uint64_t origSpillMemStart = ndr->q.spillMemStart; 364 // calculate the number of 32-bit vector registers required by wavefront 365 int vregDemand = ndr->q.sRegCount + (2 * ndr->q.dRegCount); 366 int cnt = 0; 367 368 // Assign WFs by spreading them across SIMDs, 1 WF per SIMD at a time 369 for (int m = 0; m < shader->n_wf * numSIMDs; ++m) { 370 Wavefront *w = wfList[m % numSIMDs][m / numSIMDs]; 371 // Check if this wavefront slot is available: 372 // It must be stopped and not waiting 373 // for a release to complete S_RETURNING 374 if (w->status == Wavefront::S_STOPPED) { 375 // if we have scheduled all work items then stop 376 // scheduling wavefronts 377 if (cnt * VSZ >= trueWgSizeTotal) 378 break; 379 380 // reserve vector registers for the scheduled wavefront 381 assert(vectorRegsReserved[m % numSIMDs] <= numVecRegsPerSimd); 382 uint32_t normSize = 0; 383 384 w->startVgprIndex = vrf[m % numSIMDs]->manager-> 385 allocateRegion(vregDemand, &normSize); 386 387 w->reservedVectorRegs = normSize; 388 vectorRegsReserved[m % numSIMDs] += w->reservedVectorRegs; 389 390 WFContext wfCtx; 391 392 InitializeWFContext(&wfCtx, ndr, cnt, trueWgSize, trueWgSizeTotal, 393 ldsChunk, origSpillMemStart); 394 395 StartWF(w, &wfCtx, trueWgSize, trueWgSizeTotal); 396 ++cnt; 397 } 398 } 399 ++barrier_id; 400} 401 402int 403ComputeUnit::ReadyWorkgroup(NDRange *ndr) 404{ 405 // Get true size of workgroup (after clamping to grid size) 406 int trueWgSize[3]; 407 int trueWgSizeTotal = 1; 408 409 for (int d = 0; d < 3; ++d) { 410 trueWgSize[d] = std::min(ndr->q.wgSize[d], ndr->q.gdSize[d] - 411 ndr->wgId[d] * ndr->q.wgSize[d]); 412 413 trueWgSizeTotal *= trueWgSize[d]; 414 DPRINTF(GPUDisp, "trueWgSize[%d] = %d\n", d, trueWgSize[d]); 415 } 416 417 DPRINTF(GPUDisp, "trueWgSizeTotal = %d\n", trueWgSizeTotal); 418 419 // calculate the number of 32-bit vector registers required by each 420 // work item of the work group 421 int vregDemandPerWI = ndr->q.sRegCount + (2 * ndr->q.dRegCount); 422 bool vregAvail = true; 423 int numWfs = (trueWgSizeTotal + VSZ - 1) / VSZ; 424 int freeWfSlots = 0; 425 // check if the total number of VGPRs required by all WFs of the WG 426 // fit in the VRFs of all SIMD units 427 assert((numWfs * vregDemandPerWI) <= (numSIMDs * numVecRegsPerSimd)); 428 int numMappedWfs = 0; 429 std::vector<int> numWfsPerSimd; 430 numWfsPerSimd.resize(numSIMDs, 0); 431 // find how many free WF slots we have across all SIMDs 432 for (int j = 0; j < shader->n_wf; ++j) { 433 for (int i = 0; i < numSIMDs; ++i) { 434 if (wfList[i][j]->status == Wavefront::S_STOPPED) { 435 // count the number of free WF slots 436 ++freeWfSlots; 437 if (numMappedWfs < numWfs) { 438 // count the WFs to be assigned per SIMD 439 numWfsPerSimd[i]++; 440 } 441 numMappedWfs++; 442 } 443 } 444 } 445 446 // if there are enough free WF slots then find if there are enough 447 // free VGPRs per SIMD based on the WF->SIMD mapping 448 if (freeWfSlots >= numWfs) { 449 for (int j = 0; j < numSIMDs; ++j) { 450 // find if there are enough free VGPR regions in the SIMD's VRF 451 // to accommodate the WFs of the new WG that would be mapped to 452 // this SIMD unit 453 vregAvail = vrf[j]->manager->canAllocate(numWfsPerSimd[j], 454 vregDemandPerWI); 455 456 // stop searching if there is at least one SIMD 457 // whose VRF does not have enough free VGPR pools. 458 // This is because a WG is scheduled only if ALL 459 // of its WFs can be scheduled 460 if (!vregAvail) 461 break; 462 } 463 } 464 465 DPRINTF(GPUDisp, "Free WF slots = %d, VGPR Availability = %d\n", 466 freeWfSlots, vregAvail); 467 468 if (!vregAvail) { 469 ++numTimesWgBlockedDueVgprAlloc; 470 } 471 472 // Return true if enough WF slots to submit workgroup and if there are 473 // enough VGPRs to schedule all WFs to their SIMD units 474 if (!lds.canReserve(ndr->q.ldsSize)) { 475 wgBlockedDueLdsAllocation++; 476 } 477 478 // Return true if (a) there are enough free WF slots to submit 479 // workgrounp and (b) if there are enough VGPRs to schedule all WFs to their 480 // SIMD units and (c) if there is enough space in LDS 481 return freeWfSlots >= numWfs && vregAvail && lds.canReserve(ndr->q.ldsSize); 482} 483 484int 485ComputeUnit::AllAtBarrier(uint32_t _barrier_id, uint32_t bcnt, uint32_t bslots) 486{ 487 DPRINTF(GPUSync, "CU%d: Checking for All At Barrier\n", cu_id); 488 int ccnt = 0; 489 490 for (int i_simd = 0; i_simd < numSIMDs; ++i_simd) { 491 for (int i_wf = 0; i_wf < shader->n_wf; ++i_wf) { 492 Wavefront *w = wfList[i_simd][i_wf]; 493 494 if (w->status == Wavefront::S_RUNNING) { 495 DPRINTF(GPUSync, "Checking WF[%d][%d]\n", i_simd, i_wf); 496 497 DPRINTF(GPUSync, "wf->barrier_id = %d, _barrier_id = %d\n", 498 w->barrier_id, _barrier_id); 499 500 DPRINTF(GPUSync, "wf->barrier_cnt %d, bcnt = %d\n", 501 w->barrier_cnt, bcnt); 502 } 503 504 if (w->status == Wavefront::S_RUNNING && 505 w->barrier_id == _barrier_id && w->barrier_cnt == bcnt && 506 !w->outstanding_reqs) { 507 ++ccnt; 508 509 DPRINTF(GPUSync, "WF[%d][%d] at barrier, increment ccnt to " 510 "%d\n", i_simd, i_wf, ccnt); 511 } 512 } 513 } 514 515 DPRINTF(GPUSync, "CU%d: returning allAtBarrier ccnt = %d, bslots = %d\n", 516 cu_id, ccnt, bslots); 517 518 return ccnt == bslots; 519} 520 521// Check if the current wavefront is blocked on additional resources. 522bool 523ComputeUnit::cedeSIMD(int simdId, int wfSlotId) 524{ 525 bool cede = false; 526 527 // If --xact-cas-mode option is enabled in run.py, then xact_cas_ld 528 // magic instructions will impact the scheduling of wavefronts 529 if (xact_cas_mode) { 530 /* 531 * When a wavefront calls xact_cas_ld, it adds itself to a per address 532 * queue. All per address queues are managed by the xactCasLoadMap. 533 * 534 * A wavefront is not blocked if: it is not in ANY per address queue or 535 * if it is at the head of a per address queue. 536 */ 537 for (auto itMap : xactCasLoadMap) { 538 std::list<waveIdentifier> curWaveIDQueue = itMap.second.waveIDQueue; 539 540 if (!curWaveIDQueue.empty()) { 541 for (auto it : curWaveIDQueue) { 542 waveIdentifier cur_wave = it; 543 544 if (cur_wave.simdId == simdId && 545 cur_wave.wfSlotId == wfSlotId) { 546 // 2 possibilities 547 // 1: this WF has a green light 548 // 2: another WF has a green light 549 waveIdentifier owner_wave = curWaveIDQueue.front(); 550 551 if (owner_wave.simdId != cur_wave.simdId || 552 owner_wave.wfSlotId != cur_wave.wfSlotId) { 553 // possibility 2 554 cede = true; 555 break; 556 } else { 557 // possibility 1 558 break; 559 } 560 } 561 } 562 } 563 } 564 } 565 566 return cede; 567} 568 569// Execute one clock worth of work on the ComputeUnit. 570void 571ComputeUnit::exec() 572{ 573 updateEvents(); 574 // Execute pipeline stages in reverse order to simulate 575 // the pipeline latency 576 globalMemoryPipe.exec(); 577 localMemoryPipe.exec(); 578 execStage.exec(); 579 scheduleStage.exec(); 580 scoreboardCheckStage.exec(); 581 fetchStage.exec(); 582 583 totalCycles++; 584} 585 586void 587ComputeUnit::init() 588{ 589 // Initialize CU Bus models 590 glbMemToVrfBus.init(&shader->tick_cnt, shader->ticks(1)); 591 locMemToVrfBus.init(&shader->tick_cnt, shader->ticks(1)); 592 nextGlbMemBus = 0; 593 nextLocMemBus = 0; 594 fatal_if(numGlbMemUnits > 1, 595 "No support for multiple Global Memory Pipelines exists!!!"); 596 vrfToGlobalMemPipeBus.resize(numGlbMemUnits); 597 for (int j = 0; j < numGlbMemUnits; ++j) { 598 vrfToGlobalMemPipeBus[j] = WaitClass(); 599 vrfToGlobalMemPipeBus[j].init(&shader->tick_cnt, shader->ticks(1)); 600 } 601 602 fatal_if(numLocMemUnits > 1, 603 "No support for multiple Local Memory Pipelines exists!!!"); 604 vrfToLocalMemPipeBus.resize(numLocMemUnits); 605 for (int j = 0; j < numLocMemUnits; ++j) { 606 vrfToLocalMemPipeBus[j] = WaitClass(); 607 vrfToLocalMemPipeBus[j].init(&shader->tick_cnt, shader->ticks(1)); 608 } 609 vectorRegsReserved.resize(numSIMDs, 0); 610 aluPipe.resize(numSIMDs); 611 wfWait.resize(numSIMDs + numLocMemUnits + numGlbMemUnits); 612 613 for (int i = 0; i < numSIMDs + numLocMemUnits + numGlbMemUnits; ++i) { 614 wfWait[i] = WaitClass(); 615 wfWait[i].init(&shader->tick_cnt, shader->ticks(1)); 616 } 617 618 for (int i = 0; i < numSIMDs; ++i) { 619 aluPipe[i] = WaitClass(); 620 aluPipe[i].init(&shader->tick_cnt, shader->ticks(1)); 621 } 622 623 // Setup space for call args 624 for (int j = 0; j < numSIMDs; ++j) { 625 for (int i = 0; i < shader->n_wf; ++i) { 626 wfList[j][i]->initCallArgMem(shader->funcargs_size); 627 } 628 } 629 630 // Initializing pipeline resources 631 readyList.resize(numSIMDs + numGlbMemUnits + numLocMemUnits); 632 waveStatusList.resize(numSIMDs); 633 634 for (int j = 0; j < numSIMDs; ++j) { 635 for (int i = 0; i < shader->n_wf; ++i) { 636 waveStatusList[j].push_back( 637 std::make_pair(wfList[j][i], BLOCKED)); 638 } 639 } 640 641 for (int j = 0; j < (numSIMDs + numGlbMemUnits + numLocMemUnits); ++j) { 642 dispatchList.push_back(std::make_pair((Wavefront*)nullptr, EMPTY)); 643 } 644 645 fetchStage.init(this); 646 scoreboardCheckStage.init(this); 647 scheduleStage.init(this); 648 execStage.init(this); 649 globalMemoryPipe.init(this); 650 localMemoryPipe.init(this); 651 // initialize state for statistics calculation 652 vectorAluInstAvail.resize(numSIMDs, false); 653 shrMemInstAvail = 0; 654 glbMemInstAvail = 0; 655} 656 657bool 658ComputeUnit::DataPort::recvTimingResp(PacketPtr pkt) 659{ 660 // Ruby has completed the memory op. Schedule the mem_resp_event at the 661 // appropriate cycle to process the timing memory response 662 // This delay represents the pipeline delay 663 SenderState *sender_state = safe_cast<SenderState*>(pkt->senderState); 664 int index = sender_state->port_index; 665 GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst; 666 667 // Is the packet returned a Kernel End or Barrier 668 if (pkt->req->isKernel() && pkt->req->isRelease()) { 669 Wavefront *w = 670 computeUnit->wfList[gpuDynInst->simdId][gpuDynInst->wfSlotId]; 671 672 // Check if we are waiting on Kernel End Release 673 if (w->status == Wavefront::S_RETURNING) { 674 DPRINTF(GPUDisp, "CU%d: WF[%d][%d][wv=%d]: WG id completed %d\n", 675 computeUnit->cu_id, w->simdId, w->wfSlotId, 676 w->wfDynId, w->kern_id); 677 678 computeUnit->shader->dispatcher->notifyWgCompl(w); 679 w->status = Wavefront::S_STOPPED; 680 } else { 681 w->outstanding_reqs--; 682 } 683 684 DPRINTF(GPUSync, "CU%d: WF[%d][%d]: barrier_cnt = %d\n", 685 computeUnit->cu_id, gpuDynInst->simdId, 686 gpuDynInst->wfSlotId, w->barrier_cnt); 687 688 if (gpuDynInst->useContinuation) { 689 assert(gpuDynInst->scope != Enums::MEMORY_SCOPE_NONE); 690 gpuDynInst->execContinuation(gpuDynInst->staticInstruction(), 691 gpuDynInst); 692 } 693 694 delete pkt->senderState; 695 delete pkt->req; 696 delete pkt; 697 return true; 698 } else if (pkt->req->isKernel() && pkt->req->isAcquire()) { 699 if (gpuDynInst->useContinuation) { 700 assert(gpuDynInst->scope != Enums::MEMORY_SCOPE_NONE); 701 gpuDynInst->execContinuation(gpuDynInst->staticInstruction(), 702 gpuDynInst); 703 } 704 705 delete pkt->senderState; 706 delete pkt->req; 707 delete pkt; 708 return true; 709 } 710 711 ComputeUnit::DataPort::MemRespEvent *mem_resp_event = 712 new ComputeUnit::DataPort::MemRespEvent(computeUnit->memPort[index], 713 pkt); 714 715 DPRINTF(GPUPort, "CU%d: WF[%d][%d]: index %d, addr %#x received!\n", 716 computeUnit->cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, 717 index, pkt->req->getPaddr()); 718 719 computeUnit->schedule(mem_resp_event, 720 curTick() + computeUnit->resp_tick_latency); 721 return true; 722} 723 724void 725ComputeUnit::DataPort::recvReqRetry() 726{ 727 int len = retries.size(); 728 729 assert(len > 0); 730 731 for (int i = 0; i < len; ++i) { 732 PacketPtr pkt = retries.front().first; 733 GPUDynInstPtr gpuDynInst M5_VAR_USED = retries.front().second; 734 DPRINTF(GPUMem, "CU%d: WF[%d][%d]: retry mem inst addr %#x\n", 735 computeUnit->cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, 736 pkt->req->getPaddr()); 737 738 /** Currently Ruby can return false due to conflicts for the particular 739 * cache block or address. Thus other requests should be allowed to 740 * pass and the data port should expect multiple retries. */ 741 if (!sendTimingReq(pkt)) { 742 DPRINTF(GPUMem, "failed again!\n"); 743 break; 744 } else { 745 DPRINTF(GPUMem, "successful!\n"); 746 retries.pop_front(); 747 } 748 } 749} 750 751bool 752ComputeUnit::SQCPort::recvTimingResp(PacketPtr pkt) 753{ 754 computeUnit->fetchStage.processFetchReturn(pkt); 755 756 return true; 757} 758 759void 760ComputeUnit::SQCPort::recvReqRetry() 761{ 762 int len = retries.size(); 763 764 assert(len > 0); 765 766 for (int i = 0; i < len; ++i) { 767 PacketPtr pkt = retries.front().first; 768 Wavefront *wavefront M5_VAR_USED = retries.front().second; 769 DPRINTF(GPUFetch, "CU%d: WF[%d][%d]: retrying FETCH addr %#x\n", 770 computeUnit->cu_id, wavefront->simdId, wavefront->wfSlotId, 771 pkt->req->getPaddr()); 772 if (!sendTimingReq(pkt)) { 773 DPRINTF(GPUFetch, "failed again!\n"); 774 break; 775 } else { 776 DPRINTF(GPUFetch, "successful!\n"); 777 retries.pop_front(); 778 } 779 } 780} 781 782void 783ComputeUnit::sendRequest(GPUDynInstPtr gpuDynInst, int index, PacketPtr pkt) 784{ 785 // There must be a way around this check to do the globalMemStart... 786 Addr tmp_vaddr = pkt->req->getVaddr(); 787 788 updatePageDivergenceDist(tmp_vaddr); 789 790 pkt->req->setVirt(pkt->req->getAsid(), tmp_vaddr, pkt->req->getSize(), 791 pkt->req->getFlags(), pkt->req->masterId(), 792 pkt->req->getPC()); 793 794 // figure out the type of the request to set read/write 795 BaseTLB::Mode TLB_mode; 796 assert(pkt->isRead() || pkt->isWrite()); 797 798 // Check write before read for atomic operations 799 // since atomic operations should use BaseTLB::Write 800 if (pkt->isWrite()){ 801 TLB_mode = BaseTLB::Write; 802 } else if (pkt->isRead()) { 803 TLB_mode = BaseTLB::Read; 804 } else { 805 fatal("pkt is not a read nor a write\n"); 806 } 807 808 tlbCycles -= curTick(); 809 ++tlbRequests; 810 811 int tlbPort_index = perLaneTLB ? index : 0; 812 813 if (shader->timingSim) { 814 if (debugSegFault) { 815 Process *p = shader->gpuTc->getProcessPtr(); 816 Addr vaddr = pkt->req->getVaddr(); 817 unsigned size = pkt->getSize(); 818 819 if ((vaddr + size - 1) % 64 < vaddr % 64) { 820 panic("CU%d: WF[%d][%d]: Access to addr %#x is unaligned!\n", 821 cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, vaddr); 822 } 823 824 Addr paddr; 825 826 if (!p->pTable->translate(vaddr, paddr)) { 827 if (!p->fixupStackFault(vaddr)) { 828 panic("CU%d: WF[%d][%d]: Fault on addr %#x!\n", 829 cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, 830 vaddr); 831 } 832 } 833 } 834 835 // This is the SenderState needed upon return 836 pkt->senderState = new DTLBPort::SenderState(gpuDynInst, index); 837 838 // This is the senderState needed by the TLB hierarchy to function 839 TheISA::GpuTLB::TranslationState *translation_state = 840 new TheISA::GpuTLB::TranslationState(TLB_mode, shader->gpuTc, false, 841 pkt->senderState); 842 843 pkt->senderState = translation_state; 844 845 if (functionalTLB) { 846 tlbPort[tlbPort_index]->sendFunctional(pkt); 847 848 // update the hitLevel distribution 849 int hit_level = translation_state->hitLevel; 850 assert(hit_level != -1); 851 hitsPerTLBLevel[hit_level]++; 852 853 // New SenderState for the memory access 854 X86ISA::GpuTLB::TranslationState *sender_state = 855 safe_cast<X86ISA::GpuTLB::TranslationState*>(pkt->senderState); 856 857 delete sender_state->tlbEntry; 858 delete sender_state->saved; 859 delete sender_state; 860 861 assert(pkt->req->hasPaddr()); 862 assert(pkt->req->hasSize()); 863 864 uint8_t *tmpData = pkt->getPtr<uint8_t>(); 865 866 // this is necessary because the GPU TLB receives packets instead 867 // of requests. when the translation is complete, all relevent 868 // fields in the request will be populated, but not in the packet. 869 // here we create the new packet so we can set the size, addr, 870 // and proper flags. 871 PacketPtr oldPkt = pkt; 872 pkt = new Packet(oldPkt->req, oldPkt->cmd); 873 delete oldPkt; 874 pkt->dataStatic(tmpData); 875 876 877 // New SenderState for the memory access 878 pkt->senderState = new ComputeUnit::DataPort::SenderState(gpuDynInst, 879 index, nullptr); 880 881 gpuDynInst->memStatusVector[pkt->getAddr()].push_back(index); 882 gpuDynInst->tlbHitLevel[index] = hit_level; 883 884 885 // translation is done. Schedule the mem_req_event at the 886 // appropriate cycle to send the timing memory request to ruby 887 ComputeUnit::DataPort::MemReqEvent *mem_req_event = 888 new ComputeUnit::DataPort::MemReqEvent(memPort[index], pkt); 889 890 DPRINTF(GPUPort, "CU%d: WF[%d][%d]: index %d, addr %#x data " 891 "scheduled\n", cu_id, gpuDynInst->simdId, 892 gpuDynInst->wfSlotId, index, pkt->req->getPaddr()); 893 894 schedule(mem_req_event, curTick() + req_tick_latency); 895 } else if (tlbPort[tlbPort_index]->isStalled()) { 896 assert(tlbPort[tlbPort_index]->retries.size() > 0); 897 898 DPRINTF(GPUTLB, "CU%d: WF[%d][%d]: Translation for addr %#x " 899 "failed!\n", cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, 900 tmp_vaddr); 901 902 tlbPort[tlbPort_index]->retries.push_back(pkt); 903 } else if (!tlbPort[tlbPort_index]->sendTimingReq(pkt)) { 904 // Stall the data port; 905 // No more packet will be issued till 906 // ruby indicates resources are freed by 907 // a recvReqRetry() call back on this port. 908 tlbPort[tlbPort_index]->stallPort(); 909 910 DPRINTF(GPUTLB, "CU%d: WF[%d][%d]: Translation for addr %#x " 911 "failed!\n", cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, 912 tmp_vaddr); 913 914 tlbPort[tlbPort_index]->retries.push_back(pkt); 915 } else { 916 DPRINTF(GPUTLB, 917 "CU%d: WF[%d][%d]: Translation for addr %#x sent!\n", 918 cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, tmp_vaddr); 919 } 920 } else { 921 if (pkt->cmd == MemCmd::MemFenceReq) { 922 gpuDynInst->statusBitVector = VectorMask(0); 923 } else { 924 gpuDynInst->statusBitVector &= (~(1ll << index)); 925 } 926 927 // New SenderState for the memory access 928 delete pkt->senderState; 929 930 // Because it's atomic operation, only need TLB translation state 931 pkt->senderState = new TheISA::GpuTLB::TranslationState(TLB_mode, 932 shader->gpuTc); 933 934 tlbPort[tlbPort_index]->sendFunctional(pkt); 935 936 // the addr of the packet is not modified, so we need to create a new 937 // packet, or otherwise the memory access will have the old virtual 938 // address sent in the translation packet, instead of the physical 939 // address returned by the translation. 940 PacketPtr new_pkt = new Packet(pkt->req, pkt->cmd); 941 new_pkt->dataStatic(pkt->getPtr<uint8_t>()); 942 943 // Translation is done. It is safe to send the packet to memory. 944 memPort[0]->sendFunctional(new_pkt); 945 946 DPRINTF(GPUMem, "CU%d: WF[%d][%d]: index %d: addr %#x\n", cu_id, 947 gpuDynInst->simdId, gpuDynInst->wfSlotId, index, 948 new_pkt->req->getPaddr()); 949 950 // safe_cast the senderState 951 TheISA::GpuTLB::TranslationState *sender_state = 952 safe_cast<TheISA::GpuTLB::TranslationState*>(pkt->senderState); 953 954 delete sender_state->tlbEntry; 955 delete new_pkt; 956 delete pkt->senderState; 957 delete pkt->req; 958 delete pkt; 959 } 960} 961 962void 963ComputeUnit::sendSyncRequest(GPUDynInstPtr gpuDynInst, int index, PacketPtr pkt) 964{ 965 ComputeUnit::DataPort::MemReqEvent *mem_req_event = 966 new ComputeUnit::DataPort::MemReqEvent(memPort[index], pkt); 967 968 969 // New SenderState for the memory access 970 pkt->senderState = new ComputeUnit::DataPort::SenderState(gpuDynInst, index, 971 nullptr); 972 973 DPRINTF(GPUPort, "CU%d: WF[%d][%d]: index %d, addr %#x sync scheduled\n", 974 cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, index, 975 pkt->req->getPaddr()); 976 977 schedule(mem_req_event, curTick() + req_tick_latency); 978} 979 980void 981ComputeUnit::injectGlobalMemFence(GPUDynInstPtr gpuDynInst, bool kernelLaunch, 982 Request* req) 983{ 984 if (!req) { 985 req = new Request(0, 0, 0, 0, masterId(), 0, gpuDynInst->wfDynId, -1); 986 } 987 req->setPaddr(0); 988 if (kernelLaunch) { 989 req->setFlags(Request::KERNEL); 990 } 991 992 gpuDynInst->s_type = SEG_GLOBAL; 993 994 // for non-kernel MemFence operations, memorder flags are set depending 995 // on which type of request is currently being sent, so this 996 // should be set by the caller (e.g. if an inst has acq-rel 997 // semantics, it will send one acquire req an one release req) 998 gpuDynInst->setRequestFlags(req, kernelLaunch); 999 1000 // a mem fence must correspond to an acquire/release request 1001 assert(req->isAcquire() || req->isRelease()); 1002 1003 // create packet 1004 PacketPtr pkt = new Packet(req, MemCmd::MemFenceReq); 1005 1006 // set packet's sender state 1007 pkt->senderState = 1008 new ComputeUnit::DataPort::SenderState(gpuDynInst, 0, nullptr); 1009 1010 // send the packet 1011 sendSyncRequest(gpuDynInst, 0, pkt); 1012} 1013 1014const char* 1015ComputeUnit::DataPort::MemRespEvent::description() const 1016{ 1017 return "ComputeUnit memory response event"; 1018} 1019 1020void 1021ComputeUnit::DataPort::MemRespEvent::process() 1022{ 1023 DataPort::SenderState *sender_state = 1024 safe_cast<DataPort::SenderState*>(pkt->senderState); 1025 1026 GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst; 1027 ComputeUnit *compute_unit = dataPort->computeUnit; 1028 1029 assert(gpuDynInst); 1030 1031 DPRINTF(GPUPort, "CU%d: WF[%d][%d]: Response for addr %#x, index %d\n", 1032 compute_unit->cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, 1033 pkt->req->getPaddr(), dataPort->index); 1034 1035 Addr paddr = pkt->req->getPaddr(); 1036 1037 if (pkt->cmd != MemCmd::MemFenceResp) { 1038 int index = gpuDynInst->memStatusVector[paddr].back(); 1039 1040 DPRINTF(GPUMem, "Response for addr %#x, index %d\n", 1041 pkt->req->getPaddr(), index); 1042 1043 gpuDynInst->memStatusVector[paddr].pop_back(); 1044 gpuDynInst->pAddr = pkt->req->getPaddr(); 1045 1046 if (pkt->isRead() || pkt->isWrite()) { 1047 1048 if (gpuDynInst->n_reg <= MAX_REGS_FOR_NON_VEC_MEM_INST) { 1049 gpuDynInst->statusBitVector &= (~(1ULL << index)); 1050 } else { 1051 assert(gpuDynInst->statusVector[index] > 0); 1052 gpuDynInst->statusVector[index]--; 1053 1054 if (!gpuDynInst->statusVector[index]) 1055 gpuDynInst->statusBitVector &= (~(1ULL << index)); 1056 } 1057 1058 DPRINTF(GPUMem, "bitvector is now %#x\n", 1059 gpuDynInst->statusBitVector); 1060 1061 if (gpuDynInst->statusBitVector == VectorMask(0)) { 1062 auto iter = gpuDynInst->memStatusVector.begin(); 1063 auto end = gpuDynInst->memStatusVector.end(); 1064 1065 while (iter != end) { 1066 assert(iter->second.empty()); 1067 ++iter; 1068 } 1069 1070 gpuDynInst->memStatusVector.clear(); 1071 1072 if (gpuDynInst->n_reg > MAX_REGS_FOR_NON_VEC_MEM_INST) 1073 gpuDynInst->statusVector.clear(); 1074 1075 if (gpuDynInst->m_op == Enums::MO_LD || MO_A(gpuDynInst->m_op) 1076 || MO_ANR(gpuDynInst->m_op)) { 1077 assert(compute_unit->globalMemoryPipe.isGMLdRespFIFOWrRdy()); 1078 1079 compute_unit->globalMemoryPipe.getGMLdRespFIFO() 1080 .push(gpuDynInst); 1081 } else { 1082 assert(compute_unit->globalMemoryPipe.isGMStRespFIFOWrRdy()); 1083 1084 compute_unit->globalMemoryPipe.getGMStRespFIFO() 1085 .push(gpuDynInst); 1086 } 1087 1088 DPRINTF(GPUMem, "CU%d: WF[%d][%d]: packet totally complete\n", 1089 compute_unit->cu_id, gpuDynInst->simdId, 1090 gpuDynInst->wfSlotId); 1091 1092 // after clearing the status vectors, 1093 // see if there is a continuation to perform 1094 // the continuation may generate more work for 1095 // this memory request 1096 if (gpuDynInst->useContinuation) { 1097 assert(gpuDynInst->scope != Enums::MEMORY_SCOPE_NONE); 1098 gpuDynInst->execContinuation(gpuDynInst->staticInstruction(), 1099 gpuDynInst); 1100 } 1101 } 1102 } 1103 } else { 1104 gpuDynInst->statusBitVector = VectorMask(0); 1105 1106 if (gpuDynInst->useContinuation) { 1107 assert(gpuDynInst->scope != Enums::MEMORY_SCOPE_NONE); 1108 gpuDynInst->execContinuation(gpuDynInst->staticInstruction(), 1109 gpuDynInst); 1110 } 1111 } 1112 1113 delete pkt->senderState; 1114 delete pkt->req; 1115 delete pkt; 1116} 1117 1118ComputeUnit* 1119ComputeUnitParams::create() 1120{ 1121 return new ComputeUnit(this); 1122} 1123 1124bool 1125ComputeUnit::DTLBPort::recvTimingResp(PacketPtr pkt) 1126{ 1127 Addr line = pkt->req->getPaddr(); 1128 1129 DPRINTF(GPUTLB, "CU%d: DTLBPort received %#x->%#x\n", computeUnit->cu_id, 1130 pkt->req->getVaddr(), line); 1131 1132 assert(pkt->senderState); 1133 computeUnit->tlbCycles += curTick(); 1134 1135 // pop off the TLB translation state 1136 TheISA::GpuTLB::TranslationState *translation_state = 1137 safe_cast<TheISA::GpuTLB::TranslationState*>(pkt->senderState); 1138 1139 // no PageFaults are permitted for data accesses 1140 if (!translation_state->tlbEntry->valid) { 1141 DTLBPort::SenderState *sender_state = 1142 safe_cast<DTLBPort::SenderState*>(translation_state->saved); 1143 1144 Wavefront *w M5_VAR_USED = 1145 computeUnit->wfList[sender_state->_gpuDynInst->simdId] 1146 [sender_state->_gpuDynInst->wfSlotId]; 1147 1148 DPRINTFN("Wave %d couldn't tranlate vaddr %#x\n", w->wfDynId, 1149 pkt->req->getVaddr()); 1150 } 1151 1152 assert(translation_state->tlbEntry->valid); 1153 1154 // update the hitLevel distribution 1155 int hit_level = translation_state->hitLevel; 1156 computeUnit->hitsPerTLBLevel[hit_level]++; 1157 1158 delete translation_state->tlbEntry; 1159 assert(!translation_state->ports.size()); 1160 pkt->senderState = translation_state->saved; 1161 1162 // for prefetch pkt 1163 BaseTLB::Mode TLB_mode = translation_state->tlbMode; 1164 1165 delete translation_state; 1166 1167 // use the original sender state to know how to close this transaction 1168 DTLBPort::SenderState *sender_state = 1169 safe_cast<DTLBPort::SenderState*>(pkt->senderState); 1170 1171 GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst; 1172 int mp_index = sender_state->portIndex; 1173 Addr vaddr = pkt->req->getVaddr(); 1174 gpuDynInst->memStatusVector[line].push_back(mp_index); 1175 gpuDynInst->tlbHitLevel[mp_index] = hit_level; 1176 1177 MemCmd requestCmd; 1178 1179 if (pkt->cmd == MemCmd::ReadResp) { 1180 requestCmd = MemCmd::ReadReq; 1181 } else if (pkt->cmd == MemCmd::WriteResp) { 1182 requestCmd = MemCmd::WriteReq; 1183 } else if (pkt->cmd == MemCmd::SwapResp) { 1184 requestCmd = MemCmd::SwapReq; 1185 } else { 1186 panic("unsupported response to request conversion %s\n", 1187 pkt->cmd.toString()); 1188 } 1189 1190 if (computeUnit->prefetchDepth) { 1191 int simdId = gpuDynInst->simdId; 1192 int wfSlotId = gpuDynInst->wfSlotId; 1193 Addr last = 0; 1194 1195 switch(computeUnit->prefetchType) { 1196 case Enums::PF_CU: 1197 last = computeUnit->lastVaddrCU[mp_index]; 1198 break; 1199 case Enums::PF_PHASE: 1200 last = computeUnit->lastVaddrPhase[simdId][mp_index]; 1201 break; 1202 case Enums::PF_WF: 1203 last = computeUnit->lastVaddrWF[simdId][wfSlotId][mp_index]; 1204 default: 1205 break; 1206 } 1207 1208 DPRINTF(GPUPrefetch, "CU[%d][%d][%d][%d]: %#x was last\n", 1209 computeUnit->cu_id, simdId, wfSlotId, mp_index, last); 1210 1211 int stride = last ? (roundDown(vaddr, TheISA::PageBytes) - 1212 roundDown(last, TheISA::PageBytes)) >> TheISA::PageShift 1213 : 0; 1214 1215 DPRINTF(GPUPrefetch, "Stride is %d\n", stride); 1216 1217 computeUnit->lastVaddrCU[mp_index] = vaddr; 1218 computeUnit->lastVaddrPhase[simdId][mp_index] = vaddr; 1219 computeUnit->lastVaddrWF[simdId][wfSlotId][mp_index] = vaddr; 1220 1221 stride = (computeUnit->prefetchType == Enums::PF_STRIDE) ? 1222 computeUnit->prefetchStride: stride; 1223 1224 DPRINTF(GPUPrefetch, "%#x to: CU[%d][%d][%d][%d]\n", vaddr, 1225 computeUnit->cu_id, simdId, wfSlotId, mp_index); 1226 1227 DPRINTF(GPUPrefetch, "Prefetching from %#x:", vaddr); 1228 1229 // Prefetch Next few pages atomically 1230 for (int pf = 1; pf <= computeUnit->prefetchDepth; ++pf) { 1231 DPRINTF(GPUPrefetch, "%d * %d: %#x\n", pf, stride, 1232 vaddr+stride*pf*TheISA::PageBytes); 1233 1234 if (!stride) 1235 break; 1236 1237 Request *prefetch_req = new Request(0, vaddr + stride * pf * 1238 TheISA::PageBytes, 1239 sizeof(uint8_t), 0, 1240 computeUnit->masterId(), 1241 0, 0, 0); 1242 1243 PacketPtr prefetch_pkt = new Packet(prefetch_req, requestCmd); 1244 uint8_t foo = 0; 1245 prefetch_pkt->dataStatic(&foo); 1246 1247 // Because it's atomic operation, only need TLB translation state 1248 prefetch_pkt->senderState = 1249 new TheISA::GpuTLB::TranslationState(TLB_mode, 1250 computeUnit->shader->gpuTc, 1251 true); 1252 1253 // Currently prefetches are zero-latency, hence the sendFunctional 1254 sendFunctional(prefetch_pkt); 1255 1256 /* safe_cast the senderState */ 1257 TheISA::GpuTLB::TranslationState *tlb_state = 1258 safe_cast<TheISA::GpuTLB::TranslationState*>( 1259 prefetch_pkt->senderState); 1260 1261 1262 delete tlb_state->tlbEntry; 1263 delete tlb_state; 1264 delete prefetch_pkt->req; 1265 delete prefetch_pkt; 1266 } 1267 } 1268 1269 // First we must convert the response cmd back to a request cmd so that 1270 // the request can be sent through the cu's master port 1271 PacketPtr new_pkt = new Packet(pkt->req, requestCmd); 1272 new_pkt->dataStatic(pkt->getPtr<uint8_t>()); 1273 delete pkt->senderState; 1274 delete pkt; 1275 1276 // New SenderState for the memory access 1277 new_pkt->senderState = 1278 new ComputeUnit::DataPort::SenderState(gpuDynInst, mp_index, 1279 nullptr); 1280 1281 // translation is done. Schedule the mem_req_event at the appropriate 1282 // cycle to send the timing memory request to ruby 1283 ComputeUnit::DataPort::MemReqEvent *mem_req_event = 1284 new ComputeUnit::DataPort::MemReqEvent(computeUnit->memPort[mp_index], 1285 new_pkt); 1286 1287 DPRINTF(GPUPort, "CU%d: WF[%d][%d]: index %d, addr %#x data scheduled\n", 1288 computeUnit->cu_id, gpuDynInst->simdId, 1289 gpuDynInst->wfSlotId, mp_index, new_pkt->req->getPaddr()); 1290 1291 computeUnit->schedule(mem_req_event, curTick() + 1292 computeUnit->req_tick_latency); 1293 1294 return true; 1295} 1296 1297const char* 1298ComputeUnit::DataPort::MemReqEvent::description() const 1299{ 1300 return "ComputeUnit memory request event"; 1301} 1302 1303void 1304ComputeUnit::DataPort::MemReqEvent::process() 1305{ 1306 SenderState *sender_state = safe_cast<SenderState*>(pkt->senderState); 1307 GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst; 1308 ComputeUnit *compute_unit M5_VAR_USED = dataPort->computeUnit; 1309 1310 if (!(dataPort->sendTimingReq(pkt))) { 1311 dataPort->retries.push_back(std::make_pair(pkt, gpuDynInst)); 1312 1313 DPRINTF(GPUPort, 1314 "CU%d: WF[%d][%d]: index %d, addr %#x data req failed!\n", 1315 compute_unit->cu_id, gpuDynInst->simdId, 1316 gpuDynInst->wfSlotId, dataPort->index, 1317 pkt->req->getPaddr()); 1318 } else { 1319 DPRINTF(GPUPort, 1320 "CU%d: WF[%d][%d]: index %d, addr %#x data req sent!\n", 1321 compute_unit->cu_id, gpuDynInst->simdId, 1322 gpuDynInst->wfSlotId, dataPort->index, 1323 pkt->req->getPaddr()); 1324 } 1325} 1326 1327/* 1328 * The initial translation request could have been rejected, 1329 * if <retries> queue is not Retry sending the translation 1330 * request. sendRetry() is called from the peer port whenever 1331 * a translation completes. 1332 */ 1333void 1334ComputeUnit::DTLBPort::recvReqRetry() 1335{ 1336 int len = retries.size(); 1337 1338 DPRINTF(GPUTLB, "CU%d: DTLB recvReqRetry - %d pending requests\n", 1339 computeUnit->cu_id, len); 1340 1341 assert(len > 0); 1342 assert(isStalled()); 1343 // recvReqRetry is an indication that the resource on which this 1344 // port was stalling on is freed. So, remove the stall first 1345 unstallPort(); 1346 1347 for (int i = 0; i < len; ++i) { 1348 PacketPtr pkt = retries.front(); 1349 Addr vaddr M5_VAR_USED = pkt->req->getVaddr(); 1350 DPRINTF(GPUTLB, "CU%d: retrying D-translaton for address%#x", vaddr); 1351 1352 if (!sendTimingReq(pkt)) { 1353 // Stall port 1354 stallPort(); 1355 DPRINTF(GPUTLB, ": failed again\n"); 1356 break; 1357 } else { 1358 DPRINTF(GPUTLB, ": successful\n"); 1359 retries.pop_front(); 1360 } 1361 } 1362} 1363 1364bool 1365ComputeUnit::ITLBPort::recvTimingResp(PacketPtr pkt) 1366{ 1367 Addr line M5_VAR_USED = pkt->req->getPaddr(); 1368 DPRINTF(GPUTLB, "CU%d: ITLBPort received %#x->%#x\n", 1369 computeUnit->cu_id, pkt->req->getVaddr(), line); 1370 1371 assert(pkt->senderState); 1372 1373 // pop off the TLB translation state 1374 TheISA::GpuTLB::TranslationState *translation_state = 1375 safe_cast<TheISA::GpuTLB::TranslationState*>(pkt->senderState); 1376 1377 bool success = translation_state->tlbEntry->valid; 1378 delete translation_state->tlbEntry; 1379 assert(!translation_state->ports.size()); 1380 pkt->senderState = translation_state->saved; 1381 delete translation_state; 1382 1383 // use the original sender state to know how to close this transaction 1384 ITLBPort::SenderState *sender_state = 1385 safe_cast<ITLBPort::SenderState*>(pkt->senderState); 1386 1387 // get the wavefront associated with this translation request 1388 Wavefront *wavefront = sender_state->wavefront; 1389 delete pkt->senderState; 1390 1391 if (success) { 1392 // pkt is reused in fetch(), don't delete it here. However, we must 1393 // reset the command to be a request so that it can be sent through 1394 // the cu's master port 1395 assert(pkt->cmd == MemCmd::ReadResp); 1396 pkt->cmd = MemCmd::ReadReq; 1397 1398 computeUnit->fetchStage.fetch(pkt, wavefront); 1399 } else { 1400 if (wavefront->dropFetch) { 1401 assert(wavefront->instructionBuffer.empty()); 1402 wavefront->dropFetch = false; 1403 } 1404 1405 wavefront->pendingFetch = 0; 1406 } 1407 1408 return true; 1409} 1410 1411/* 1412 * The initial translation request could have been rejected, if 1413 * <retries> queue is not empty. Retry sending the translation 1414 * request. sendRetry() is called from the peer port whenever 1415 * a translation completes. 1416 */ 1417void 1418ComputeUnit::ITLBPort::recvReqRetry() 1419{ 1420 1421 int len = retries.size(); 1422 DPRINTF(GPUTLB, "CU%d: ITLB recvReqRetry - %d pending requests\n", len); 1423 1424 assert(len > 0); 1425 assert(isStalled()); 1426 1427 // recvReqRetry is an indication that the resource on which this 1428 // port was stalling on is freed. So, remove the stall first 1429 unstallPort(); 1430 1431 for (int i = 0; i < len; ++i) { 1432 PacketPtr pkt = retries.front(); 1433 Addr vaddr M5_VAR_USED = pkt->req->getVaddr(); 1434 DPRINTF(GPUTLB, "CU%d: retrying I-translaton for address%#x", vaddr); 1435 1436 if (!sendTimingReq(pkt)) { 1437 stallPort(); // Stall port 1438 DPRINTF(GPUTLB, ": failed again\n"); 1439 break; 1440 } else { 1441 DPRINTF(GPUTLB, ": successful\n"); 1442 retries.pop_front(); 1443 } 1444 } 1445} 1446 1447void 1448ComputeUnit::regStats() 1449{ 1450 tlbCycles 1451 .name(name() + ".tlb_cycles") 1452 .desc("total number of cycles for all uncoalesced requests") 1453 ; 1454 1455 tlbRequests 1456 .name(name() + ".tlb_requests") 1457 .desc("number of uncoalesced requests") 1458 ; 1459 1460 tlbLatency 1461 .name(name() + ".avg_translation_latency") 1462 .desc("Avg. translation latency for data translations") 1463 ; 1464 1465 tlbLatency = tlbCycles / tlbRequests; 1466 1467 hitsPerTLBLevel 1468 .init(4) 1469 .name(name() + ".TLB_hits_distribution") 1470 .desc("TLB hits distribution (0 for page table, x for Lx-TLB") 1471 ; 1472 1473 // fixed number of TLB levels 1474 for (int i = 0; i < 4; ++i) { 1475 if (!i) 1476 hitsPerTLBLevel.subname(i,"page_table"); 1477 else 1478 hitsPerTLBLevel.subname(i, csprintf("L%d_TLB",i)); 1479 } 1480 1481 execRateDist 1482 .init(0, 10, 2) 1483 .name(name() + ".inst_exec_rate") 1484 .desc("Instruction Execution Rate: Number of executed vector " 1485 "instructions per cycle") 1486 ; 1487 1488 ldsBankConflictDist 1489 .init(0, VSZ, 2) 1490 .name(name() + ".lds_bank_conflicts") 1491 .desc("Number of bank conflicts per LDS memory packet") 1492 ; 1493 1494 ldsBankAccesses 1495 .name(name() + ".lds_bank_access_cnt") 1496 .desc("Total number of LDS bank accesses") 1497 ; 1498 1499 pageDivergenceDist 1500 // A wavefront can touch 1 to VSZ pages per memory instruction. 1501 // The number of pages per bin can be configured (here it's 4). 1502 .init(1, VSZ, 4) 1503 .name(name() + ".page_divergence_dist") 1504 .desc("pages touched per wf (over all mem. instr.)") 1505 ; 1506 1507 controlFlowDivergenceDist 1508 .init(1, VSZ, 4) 1509 .name(name() + ".warp_execution_dist") 1510 .desc("number of lanes active per instruction (oval all instructions)") 1511 ; 1512 1513 activeLanesPerGMemInstrDist 1514 .init(1, VSZ, 4) 1515 .name(name() + ".gmem_lanes_execution_dist") 1516 .desc("number of active lanes per global memory instruction") 1517 ; 1518 1519 activeLanesPerLMemInstrDist 1520 .init(1, VSZ, 4) 1521 .name(name() + ".lmem_lanes_execution_dist") 1522 .desc("number of active lanes per local memory instruction") 1523 ; 1524 1525 numInstrExecuted 1526 .name(name() + ".num_instr_executed") 1527 .desc("number of instructions executed") 1528 ; 1529 1530 numVecOpsExecuted 1531 .name(name() + ".num_vec_ops_executed") 1532 .desc("number of vec ops executed (e.g. VSZ/inst)") 1533 ; 1534 1535 totalCycles 1536 .name(name() + ".num_total_cycles") 1537 .desc("number of cycles the CU ran for") 1538 ; 1539 1540 ipc 1541 .name(name() + ".ipc") 1542 .desc("Instructions per cycle (this CU only)") 1543 ; 1544 1545 vpc 1546 .name(name() + ".vpc") 1547 .desc("Vector Operations per cycle (this CU only)") 1548 ; 1549 1550 numALUInstsExecuted 1551 .name(name() + ".num_alu_insts_executed") 1552 .desc("Number of dynamic non-GM memory insts executed") 1553 ; 1554 1555 wgBlockedDueLdsAllocation 1556 .name(name() + ".wg_blocked_due_lds_alloc") 1557 .desc("Workgroup blocked due to LDS capacity") 1558 ; 1559 1560 ipc = numInstrExecuted / totalCycles; 1561 vpc = numVecOpsExecuted / totalCycles; 1562 1563 numTimesWgBlockedDueVgprAlloc 1564 .name(name() + ".times_wg_blocked_due_vgpr_alloc") 1565 .desc("Number of times WGs are blocked due to VGPR allocation per SIMD") 1566 ; 1567 1568 dynamicGMemInstrCnt 1569 .name(name() + ".global_mem_instr_cnt") 1570 .desc("dynamic global memory instructions count") 1571 ; 1572 1573 dynamicLMemInstrCnt 1574 .name(name() + ".local_mem_instr_cnt") 1575 .desc("dynamic local memory intruction count") 1576 ; 1577 1578 numALUInstsExecuted = numInstrExecuted - dynamicGMemInstrCnt - 1579 dynamicLMemInstrCnt; 1580 1581 completedWfs 1582 .name(name() + ".num_completed_wfs") 1583 .desc("number of completed wavefronts") 1584 ; 1585 1586 numCASOps 1587 .name(name() + ".num_CAS_ops") 1588 .desc("number of compare and swap operations") 1589 ; 1590 1591 numFailedCASOps 1592 .name(name() + ".num_failed_CAS_ops") 1593 .desc("number of compare and swap operations that failed") 1594 ; 1595 1596 // register stats of pipeline stages 1597 fetchStage.regStats(); 1598 scoreboardCheckStage.regStats(); 1599 scheduleStage.regStats(); 1600 execStage.regStats(); 1601 1602 // register stats of memory pipeline 1603 globalMemoryPipe.regStats(); 1604 localMemoryPipe.regStats(); 1605} 1606 1607void 1608ComputeUnit::updatePageDivergenceDist(Addr addr) 1609{ 1610 Addr virt_page_addr = roundDown(addr, TheISA::PageBytes); 1611 1612 if (!pagesTouched.count(virt_page_addr)) 1613 pagesTouched[virt_page_addr] = 1; 1614 else 1615 pagesTouched[virt_page_addr]++; 1616} 1617 1618void 1619ComputeUnit::CUExitCallback::process() 1620{ 1621 if (computeUnit->countPages) { 1622 std::ostream *page_stat_file = 1623 simout.create(computeUnit->name().c_str())->stream(); 1624 1625 *page_stat_file << "page, wavefront accesses, workitem accesses" << 1626 std::endl; 1627 1628 for (auto iter : computeUnit->pageAccesses) { 1629 *page_stat_file << std::hex << iter.first << ","; 1630 *page_stat_file << std::dec << iter.second.first << ","; 1631 *page_stat_file << std::dec << iter.second.second << std::endl; 1632 } 1633 } 1634 } 1635 1636bool 1637ComputeUnit::isDone() const 1638{ 1639 for (int i = 0; i < numSIMDs; ++i) { 1640 if (!isSimdDone(i)) { 1641 return false; 1642 } 1643 } 1644 1645 bool glbMemBusRdy = true; 1646 for (int j = 0; j < numGlbMemUnits; ++j) { 1647 glbMemBusRdy &= vrfToGlobalMemPipeBus[j].rdy(); 1648 } 1649 bool locMemBusRdy = true; 1650 for (int j = 0; j < numLocMemUnits; ++j) { 1651 locMemBusRdy &= vrfToLocalMemPipeBus[j].rdy(); 1652 } 1653 1654 if (!globalMemoryPipe.isGMLdRespFIFOWrRdy() || 1655 !globalMemoryPipe.isGMStRespFIFOWrRdy() || 1656 !globalMemoryPipe.isGMReqFIFOWrRdy() || !localMemoryPipe.isLMReqFIFOWrRdy() 1657 || !localMemoryPipe.isLMRespFIFOWrRdy() || !locMemToVrfBus.rdy() || 1658 !glbMemToVrfBus.rdy() || !locMemBusRdy || !glbMemBusRdy) { 1659 return false; 1660 } 1661 1662 return true; 1663} 1664 1665int32_t 1666ComputeUnit::getRefCounter(const uint32_t dispatchId, const uint32_t wgId) const 1667{ 1668 return lds.getRefCounter(dispatchId, wgId); 1669} 1670 1671bool 1672ComputeUnit::isSimdDone(uint32_t simdId) const 1673{ 1674 assert(simdId < numSIMDs); 1675 1676 for (int i=0; i < numGlbMemUnits; ++i) { 1677 if (!vrfToGlobalMemPipeBus[i].rdy()) 1678 return false; 1679 } 1680 for (int i=0; i < numLocMemUnits; ++i) { 1681 if (!vrfToLocalMemPipeBus[i].rdy()) 1682 return false; 1683 } 1684 if (!aluPipe[simdId].rdy()) { 1685 return false; 1686 } 1687 1688 for (int i_wf = 0; i_wf < shader->n_wf; ++i_wf){ 1689 if (wfList[simdId][i_wf]->status != Wavefront::S_STOPPED) { 1690 return false; 1691 } 1692 } 1693 1694 return true; 1695} 1696 1697/** 1698 * send a general request to the LDS 1699 * make sure to look at the return value here as your request might be 1700 * NACK'd and returning false means that you have to have some backup plan 1701 */ 1702bool 1703ComputeUnit::sendToLds(GPUDynInstPtr gpuDynInst) 1704{ 1705 // this is just a request to carry the GPUDynInstPtr 1706 // back and forth 1707 Request *newRequest = new Request(); 1708 newRequest->setPaddr(0x0); 1709 1710 // ReadReq is not evaluted by the LDS but the Packet ctor requires this 1711 PacketPtr newPacket = new Packet(newRequest, MemCmd::ReadReq); 1712 1713 // This is the SenderState needed upon return 1714 newPacket->senderState = new LDSPort::SenderState(gpuDynInst); 1715 1716 return ldsPort->sendTimingReq(newPacket); 1717} 1718 1719/** 1720 * get the result of packets sent to the LDS when they return 1721 */ 1722bool 1723ComputeUnit::LDSPort::recvTimingResp(PacketPtr packet) 1724{ 1725 const ComputeUnit::LDSPort::SenderState *senderState = 1726 dynamic_cast<ComputeUnit::LDSPort::SenderState *>(packet->senderState); 1727 1728 fatal_if(!senderState, "did not get the right sort of sender state"); 1729 1730 GPUDynInstPtr gpuDynInst = senderState->getMemInst(); 1731 1732 delete packet->senderState; 1733 delete packet->req; 1734 delete packet; 1735 1736 computeUnit->localMemoryPipe.getLMRespFIFO().push(gpuDynInst); 1737 return true; 1738} 1739 1740/** 1741 * attempt to send this packet, either the port is already stalled, the request 1742 * is nack'd and must stall or the request goes through 1743 * when a request cannot be sent, add it to the retries queue 1744 */ 1745bool 1746ComputeUnit::LDSPort::sendTimingReq(PacketPtr pkt) 1747{ 1748 ComputeUnit::LDSPort::SenderState *sender_state = 1749 dynamic_cast<ComputeUnit::LDSPort::SenderState*>(pkt->senderState); 1750 fatal_if(!sender_state, "packet without a valid sender state"); 1751 1752 GPUDynInstPtr gpuDynInst M5_VAR_USED = sender_state->getMemInst(); 1753 1754 if (isStalled()) { 1755 fatal_if(retries.empty(), "must have retries waiting to be stalled"); 1756 1757 retries.push(pkt); 1758 1759 DPRINTF(GPUPort, "CU%d: WF[%d][%d]: LDS send failed!\n", 1760 computeUnit->cu_id, gpuDynInst->simdId, 1761 gpuDynInst->wfSlotId); 1762 return false; 1763 } else if (!MasterPort::sendTimingReq(pkt)) { 1764 // need to stall the LDS port until a recvReqRetry() is received 1765 // this indicates that there is more space 1766 stallPort(); 1767 retries.push(pkt); 1768 1769 DPRINTF(GPUPort, "CU%d: WF[%d][%d]: addr %#x lds req failed!\n", 1770 computeUnit->cu_id, gpuDynInst->simdId, 1771 gpuDynInst->wfSlotId, pkt->req->getPaddr()); 1772 return false; 1773 } else { 1774 DPRINTF(GPUPort, "CU%d: WF[%d][%d]: addr %#x lds req sent!\n", 1775 computeUnit->cu_id, gpuDynInst->simdId, 1776 gpuDynInst->wfSlotId, pkt->req->getPaddr()); 1777 return true; 1778 } 1779} 1780 1781/** 1782 * the bus is telling the port that there is now space so retrying stalled 1783 * requests should work now 1784 * this allows the port to have a request be nack'd and then have the receiver 1785 * say when there is space, rather than simply retrying the send every cycle 1786 */ 1787void 1788ComputeUnit::LDSPort::recvReqRetry() 1789{ 1790 auto queueSize = retries.size(); 1791 1792 DPRINTF(GPUPort, "CU%d: LDSPort recvReqRetry - %d pending requests\n", 1793 computeUnit->cu_id, queueSize); 1794 1795 fatal_if(queueSize < 1, 1796 "why was there a recvReqRetry() with no pending reqs?"); 1797 fatal_if(!isStalled(), 1798 "recvReqRetry() happened when the port was not stalled"); 1799 1800 unstallPort(); 1801 1802 while (!retries.empty()) { 1803 PacketPtr packet = retries.front(); 1804 1805 DPRINTF(GPUPort, "CU%d: retrying LDS send\n", computeUnit->cu_id); 1806 1807 if (!MasterPort::sendTimingReq(packet)) { 1808 // Stall port 1809 stallPort(); 1810 DPRINTF(GPUPort, ": LDS send failed again\n"); 1811 break; 1812 } else { 1813 DPRINTF(GPUTLB, ": LDS send successful\n"); 1814 retries.pop(); 1815 } 1816 } 1817} 1818