gem5/src/gpu-compute/gpu_dyn_inst.cc
Tony Gutierrez 7ac38849ab gpu-compute: remove inst enums and use bit flag for attributes
this patch removes the GPUStaticInst enums that were defined in GPU.py.
instead, a simple set of attribute flags that can be set in the base
instruction class are used. this will help unify the attributes of HSAIL
and machine ISA instructions within the model itself.

because the static instrution now carries the attributes, a GPUDynInst
must carry a pointer to a valid GPUStaticInst so a new static kernel launch
instruction is added, which carries the attributes needed to perform a
the kernel launch.
2016-10-26 22:47:11 -04:00

529 lines
9.8 KiB
C++

/*
* 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 *static_inst, uint64_t instSeqNum)
: GPUExecContext(_cu, _wf), addr(computeUnit()->wfSize(), (Addr)0),
n_reg(0), useContinuation(false),
statusBitVector(0), _staticInst(static_inst), _seqNum(instSeqNum)
{
tlbHitLevel.assign(computeUnit()->wfSize(), -1);
d_data = new uint8_t[computeUnit()->wfSize() * 16];
a_data = new uint8_t[computeUnit()->wfSize() * 8];
x_data = new uint8_t[computeUnit()->wfSize() * 8];
for (int i = 0; i < (computeUnit()->wfSize() * 8); ++i) {
a_data[i] = 0;
x_data[i] = 0;
}
for (int i = 0; i < (computeUnit()->wfSize() * 16); ++i) {
d_data[i] = 0;
}
}
GPUDynInst::~GPUDynInst()
{
delete[] d_data;
delete[] a_data;
delete[] x_data;
}
void
GPUDynInst::execute(GPUDynInstPtr gpuDynInst)
{
_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->isScalarRegister(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);
}
const std::string&
GPUDynInst::disassemble() const
{
return _staticInst->disassemble();
}
uint64_t
GPUDynInst::seqNum() const
{
return _seqNum;
}
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;
}
/**
* accessor methods for the attributes of
* the underlying GPU static instruction
*/
bool
GPUDynInst::isALU() const
{
return _staticInst->isALU();
}
bool
GPUDynInst::isBranch() const
{
return _staticInst->isBranch();
}
bool
GPUDynInst::isNop() const
{
return _staticInst->isNop();
}
bool
GPUDynInst::isReturn() const
{
return _staticInst->isReturn();
}
bool
GPUDynInst::isUnconditionalJump() const
{
return _staticInst->isUnconditionalJump();
}
bool
GPUDynInst::isSpecialOp() const
{
return _staticInst->isSpecialOp();
}
bool
GPUDynInst::isWaitcnt() const
{
return _staticInst->isWaitcnt();
}
bool
GPUDynInst::isBarrier() const
{
return _staticInst->isBarrier();
}
bool
GPUDynInst::isMemFence() const
{
return _staticInst->isMemFence();
}
bool
GPUDynInst::isMemRef() const
{
return _staticInst->isMemRef();
}
bool
GPUDynInst::isFlat() const
{
return _staticInst->isFlat();
}
bool
GPUDynInst::isLoad() const
{
return _staticInst->isLoad();
}
bool
GPUDynInst::isStore() const
{
return _staticInst->isStore();
}
bool
GPUDynInst::isAtomic() const
{
return _staticInst->isAtomic();
}
bool
GPUDynInst::isAtomicNoRet() const
{
return _staticInst->isAtomicNoRet();
}
bool
GPUDynInst::isAtomicRet() const
{
return _staticInst->isAtomicRet();
}
bool
GPUDynInst::isScalar() const
{
return _staticInst->isScalar();
}
bool
GPUDynInst::readsSCC() const
{
return _staticInst->readsSCC();
}
bool
GPUDynInst::writesSCC() const
{
return _staticInst->writesSCC();
}
bool
GPUDynInst::readsVCC() const
{
return _staticInst->readsVCC();
}
bool
GPUDynInst::writesVCC() const
{
return _staticInst->writesVCC();
}
bool
GPUDynInst::isAtomicAnd() const
{
return _staticInst->isAtomicAnd();
}
bool
GPUDynInst::isAtomicOr() const
{
return _staticInst->isAtomicOr();
}
bool
GPUDynInst::isAtomicXor() const
{
return _staticInst->isAtomicXor();
}
bool
GPUDynInst::isAtomicCAS() const
{
return _staticInst->isAtomicCAS();
}
bool GPUDynInst::isAtomicExch() const
{
return _staticInst->isAtomicExch();
}
bool
GPUDynInst::isAtomicAdd() const
{
return _staticInst->isAtomicAdd();
}
bool
GPUDynInst::isAtomicSub() const
{
return _staticInst->isAtomicSub();
}
bool
GPUDynInst::isAtomicInc() const
{
return _staticInst->isAtomicInc();
}
bool
GPUDynInst::isAtomicDec() const
{
return _staticInst->isAtomicDec();
}
bool
GPUDynInst::isAtomicMax() const
{
return _staticInst->isAtomicMax();
}
bool
GPUDynInst::isAtomicMin() const
{
return _staticInst->isAtomicMin();
}
bool
GPUDynInst::isArgLoad() const
{
return _staticInst->isArgLoad();
}
bool
GPUDynInst::isGlobalMem() const
{
return _staticInst->isGlobalMem();
}
bool
GPUDynInst::isLocalMem() const
{
return _staticInst->isLocalMem();
}
bool
GPUDynInst::isArgSeg() const
{
return _staticInst->isArgSeg();
}
bool
GPUDynInst::isGlobalSeg() const
{
return _staticInst->isGlobalSeg();
}
bool
GPUDynInst::isGroupSeg() const
{
return _staticInst->isGroupSeg();
}
bool
GPUDynInst::isKernArgSeg() const
{
return _staticInst->isKernArgSeg();
}
bool
GPUDynInst::isPrivateSeg() const
{
return _staticInst->isPrivateSeg();
}
bool
GPUDynInst::isReadOnlySeg() const
{
return _staticInst->isReadOnlySeg();
}
bool
GPUDynInst::isSpillSeg() const
{
return _staticInst->isSpillSeg();
}
bool
GPUDynInst::isWorkitemScope() const
{
return _staticInst->isWorkitemScope();
}
bool
GPUDynInst::isWavefrontScope() const
{
return _staticInst->isWavefrontScope();
}
bool
GPUDynInst::isWorkgroupScope() const
{
return _staticInst->isWorkgroupScope();
}
bool
GPUDynInst::isDeviceScope() const
{
return _staticInst->isDeviceScope();
}
bool
GPUDynInst::isSystemScope() const
{
return _staticInst->isSystemScope();
}
bool
GPUDynInst::isNoScope() const
{
return _staticInst->isNoScope();
}
bool
GPUDynInst::isRelaxedOrder() const
{
return _staticInst->isRelaxedOrder();
}
bool
GPUDynInst::isAcquire() const
{
return _staticInst->isAcquire();
}
bool
GPUDynInst::isRelease() const
{
return _staticInst->isRelease();
}
bool
GPUDynInst::isAcquireRelease() const
{
return _staticInst->isAcquireRelease();
}
bool
GPUDynInst::isNoOrder() const
{
return _staticInst->isNoOrder();
}
bool
GPUDynInst::isGloballyCoherent() const
{
return _staticInst->isGloballyCoherent();
}
bool
GPUDynInst::isSystemCoherent() const
{
return _staticInst->isSystemCoherent();
}
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++;
}
}