| /* |
| * Copyright (c) 2014-2015 Advanced Micro Devices, Inc. |
| * All rights reserved. |
| * |
| * For use for simulation and test purposes only |
| * |
| * Redistribution and use in source and binary forms, with or without |
| * modification, are permitted provided that the following conditions are met: |
| * |
| * 1. Redistributions of source code must retain the above copyright notice, |
| * this list of conditions and the following disclaimer. |
| * |
| * 2. Redistributions in binary form must reproduce the above copyright notice, |
| * this list of conditions and the following disclaimer in the documentation |
| * and/or other materials provided with the distribution. |
| * |
| * 3. Neither the name of the copyright holder nor the names of its |
| * contributors may be used to endorse or promote products derived from this |
| * software without specific prior written permission. |
| * |
| * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" |
| * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
| * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
| * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE |
| * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR |
| * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF |
| * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS |
| * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN |
| * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) |
| * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE |
| * POSSIBILITY OF SUCH DAMAGE. |
| * |
| * Authors: Sooraj Puthoor |
| */ |
| |
| #include "gpu-compute/local_memory_pipeline.hh" |
| |
| #include "debug/GPUMem.hh" |
| #include "debug/GPUPort.hh" |
| #include "gpu-compute/compute_unit.hh" |
| #include "gpu-compute/gpu_dyn_inst.hh" |
| #include "gpu-compute/shader.hh" |
| #include "gpu-compute/vector_register_file.hh" |
| #include "gpu-compute/wavefront.hh" |
| |
| LocalMemPipeline::LocalMemPipeline(const ComputeUnitParams* p, ComputeUnit &cu) |
| : computeUnit(cu), _name(cu.name() + ".LocalMemPipeline"), |
| lmQueueSize(p->local_mem_queue_size) |
| { |
| } |
| |
| void |
| LocalMemPipeline::exec() |
| { |
| // apply any returned shared (LDS) memory operations |
| GPUDynInstPtr m = !lmReturnedRequests.empty() ? |
| lmReturnedRequests.front() : nullptr; |
| |
| bool accessVrf = true; |
| Wavefront *w = nullptr; |
| |
| if ((m) && m->latency.rdy() && (m->isLoad() || m->isAtomicRet())) { |
| w = m->wavefront(); |
| |
| accessVrf = w->computeUnit->vrf[w->simdId]-> |
| canScheduleWriteOperandsFromLoad(w, m); |
| |
| } |
| |
| if (!lmReturnedRequests.empty() && m->latency.rdy() && accessVrf && |
| computeUnit.locMemToVrfBus.rdy() |
| && (computeUnit.shader->coissue_return |
| || computeUnit.vectorSharedMemUnit.rdy())) { |
| |
| lmReturnedRequests.pop(); |
| w = m->wavefront(); |
| |
| DPRINTF(GPUMem, "CU%d: WF[%d][%d]: Completing local mem instr %s\n", |
| m->cu_id, m->simdId, m->wfSlotId, m->disassemble()); |
| m->completeAcc(m); |
| |
| if (m->isLoad() || m->isAtomicRet()) { |
| w->computeUnit->vrf[w->simdId]-> |
| scheduleWriteOperandsFromLoad(w, m); |
| } |
| |
| // Decrement outstanding request count |
| computeUnit.shader->ScheduleAdd(&w->outstandingReqs, m->time, -1); |
| |
| if (m->isStore() || m->isAtomic()) { |
| computeUnit.shader->ScheduleAdd(&w->outstandingReqsWrLm, |
| m->time, -1); |
| } |
| |
| if (m->isLoad() || m->isAtomic()) { |
| computeUnit.shader->ScheduleAdd(&w->outstandingReqsRdLm, |
| m->time, -1); |
| } |
| |
| // Mark write bus busy for appropriate amount of time |
| computeUnit.locMemToVrfBus.set(m->time); |
| if (computeUnit.shader->coissue_return == 0) |
| w->computeUnit->vectorSharedMemUnit.set(m->time); |
| } |
| |
| // If pipeline has executed a local memory instruction |
| // execute local memory packet and issue the packets |
| // to LDS |
| if (!lmIssuedRequests.empty() && lmReturnedRequests.size() < lmQueueSize) { |
| |
| GPUDynInstPtr m = lmIssuedRequests.front(); |
| |
| bool returnVal = computeUnit.sendToLds(m); |
| if (!returnVal) { |
| DPRINTF(GPUPort, "packet was nack'd and put in retry queue"); |
| } |
| lmIssuedRequests.pop(); |
| } |
| } |
| |
| void |
| LocalMemPipeline::issueRequest(GPUDynInstPtr gpuDynInst) |
| { |
| gpuDynInst->setAccessTime(curTick()); |
| lmIssuedRequests.push(gpuDynInst); |
| } |
| |
| void |
| LocalMemPipeline::regStats() |
| { |
| loadVrfBankConflictCycles |
| .name(name() + ".load_vrf_bank_conflict_cycles") |
| .desc("total number of cycles LDS data are delayed before updating " |
| "the VRF") |
| ; |
| } |