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/*
* Copyright (c) 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.
*
* Author: Anthony Gutierrez
*/
#include "gpu-compute/gpu_dyn_inst.hh"
#include "debug/GPUMem.hh"
#include "gpu-compute/gpu_static_inst.hh"
#include "gpu-compute/shader.hh"
#include "gpu-compute/wavefront.hh"
GPUDynInst::GPUDynInst(ComputeUnit *_cu, Wavefront *_wf,
GPUStaticInst *_staticInst, uint64_t instSeqNum)
: GPUExecContext(_cu, _wf), m_op(Enums::MO_UNDEF),
memoryOrder(Enums::MEMORY_ORDER_NONE), useContinuation(false),
statusBitVector(0), staticInst(_staticInst), _seqNum(instSeqNum)
{
tlbHitLevel.assign(VSZ, -1);
}
void
GPUDynInst::execute()
{
GPUDynInstPtr gpuDynInst = std::make_shared<GPUDynInst>(cu, wf, staticInst,
_seqNum);
staticInst->execute(gpuDynInst);
}
int
GPUDynInst::numSrcRegOperands()
{
return staticInst->numSrcRegOperands();
}
int
GPUDynInst::numDstRegOperands()
{
return staticInst->numDstRegOperands();
}
int
GPUDynInst::getNumOperands()
{
return staticInst->getNumOperands();
}
bool
GPUDynInst::isVectorRegister(int operandIdx)
{
return staticInst->isVectorRegister(operandIdx);
}
bool
GPUDynInst::isScalarRegister(int operandIdx)
{
return staticInst->isVectorRegister(operandIdx);
}
int
GPUDynInst::getRegisterIndex(int operandIdx)
{
return staticInst->getRegisterIndex(operandIdx);
}
int
GPUDynInst::getOperandSize(int operandIdx)
{
return staticInst->getOperandSize(operandIdx);
}
bool
GPUDynInst::isDstOperand(int operandIdx)
{
return staticInst->isDstOperand(operandIdx);
}
bool
GPUDynInst::isSrcOperand(int operandIdx)
{
return staticInst->isSrcOperand(operandIdx);
}
bool
GPUDynInst::isArgLoad()
{
return staticInst->isArgLoad();
}
const std::string&
GPUDynInst::disassemble() const
{
return staticInst->disassemble();
}
uint64_t
GPUDynInst::seqNum() const
{
return _seqNum;
}
Enums::OpType
GPUDynInst::opType()
{
return staticInst->o_type;
}
Enums::StorageClassType
GPUDynInst::executedAs()
{
return staticInst->executed_as;
}
// Process a memory instruction and (if necessary) submit timing request
void
GPUDynInst::initiateAcc(GPUDynInstPtr gpuDynInst)
{
DPRINTF(GPUMem, "CU%d: WF[%d][%d]: mempacket status bitvector=%#x\n",
cu->cu_id, simdId, wfSlotId, exec_mask);
staticInst->initiateAcc(gpuDynInst);
time = 0;
}
bool
GPUDynInst::scalarOp() const
{
return staticInst->scalarOp();
}
void
GPUDynInst::updateStats()
{
if (staticInst->isLocalMem()) {
// access to LDS (shared) memory
cu->dynamicLMemInstrCnt++;
} else {
// access to global memory
// update PageDivergence histogram
int number_pages_touched = cu->pagesTouched.size();
assert(number_pages_touched);
cu->pageDivergenceDist.sample(number_pages_touched);
std::pair<ComputeUnit::pageDataStruct::iterator, bool> ret;
for (auto it : cu->pagesTouched) {
// see if this page has been touched before. if not, this also
// inserts the page into the table.
ret = cu->pageAccesses
.insert(ComputeUnit::pageDataStruct::value_type(it.first,
std::make_pair(1, it.second)));
// if yes, then update the stats
if (!ret.second) {
ret.first->second.first++;
ret.first->second.second += it.second;
}
}
cu->pagesTouched.clear();
// total number of memory instructions (dynamic)
// Atomics are counted as a single memory instruction.
// this is # memory instructions per wavefronts, not per workitem
cu->dynamicGMemInstrCnt++;
}
}
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