Google Git
Sign in
gem5 / public / gem5 / 325a143d6fdf774f60c39643c3f4aa25e89457ba / . / src / gpu-compute / compute_unit.cc
blob: 33f5c6e54d2cb017ca9df934b0db020c7f7342dd [file] [log] [blame]
/*
* Copyright (c) 2011-2015 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.
*/
#include "gpu-compute/compute_unit.hh"
#include <limits>
#include "arch/x86/isa_traits.hh"
#include "base/output.hh"
#include "debug/GPUDisp.hh"
#include "debug/GPUExec.hh"
#include "debug/GPUFetch.hh"
#include "debug/GPUMem.hh"
#include "debug/GPUPort.hh"
#include "debug/GPUPrefetch.hh"
#include "debug/GPUReg.hh"
#include "debug/GPURename.hh"
#include "debug/GPUSync.hh"
#include "debug/GPUTLB.hh"
#include "gpu-compute/dispatcher.hh"
#include "gpu-compute/gpu_dyn_inst.hh"
#include "gpu-compute/gpu_static_inst.hh"
#include "gpu-compute/scalar_register_file.hh"
#include "gpu-compute/shader.hh"
#include "gpu-compute/simple_pool_manager.hh"
#include "gpu-compute/vector_register_file.hh"
#include "gpu-compute/wavefront.hh"
#include "mem/page_table.hh"
#include "sim/process.hh"
#include "sim/sim_exit.hh"
ComputeUnit::ComputeUnit(const Params *p) : ClockedObject(p),
numVectorGlobalMemUnits(p->num_global_mem_pipes),
numVectorSharedMemUnits(p->num_shared_mem_pipes),
numScalarMemUnits(p->num_scalar_mem_pipes),
numVectorALUs(p->num_SIMDs),
numScalarALUs(p->num_scalar_cores),
vrfToCoalescerBusWidth(p->vrf_to_coalescer_bus_width),
coalescerToVrfBusWidth(p->coalescer_to_vrf_bus_width),
registerManager(p->register_manager),
fetchStage(p, *this),
scoreboardCheckStage(p, *this, scoreboardCheckToSchedule),
scheduleStage(p, *this, scoreboardCheckToSchedule, scheduleToExecute),
execStage(p, *this, scheduleToExecute),
globalMemoryPipe(p, *this),
localMemoryPipe(p, *this),
scalarMemoryPipe(p, *this),
tickEvent([this]{ exec(); }, "Compute unit tick event",
false, Event::CPU_Tick_Pri),
cu_id(p->cu_id),
vrf(p->vector_register_file), srf(p->scalar_register_file),
simdWidth(p->simd_width),
spBypassPipeLength(p->spbypass_pipe_length),
dpBypassPipeLength(p->dpbypass_pipe_length),
scalarPipeStages(p->scalar_pipe_length),
operandNetworkLength(p->operand_network_length),
issuePeriod(p->issue_period),
vrf_gm_bus_latency(p->vrf_gm_bus_latency),
srf_scm_bus_latency(p->srf_scm_bus_latency),
vrf_lm_bus_latency(p->vrf_lm_bus_latency),
perLaneTLB(p->perLaneTLB), prefetchDepth(p->prefetch_depth),
prefetchStride(p->prefetch_stride), prefetchType(p->prefetch_prev_type),
debugSegFault(p->debugSegFault),
functionalTLB(p->functionalTLB), localMemBarrier(p->localMemBarrier),
countPages(p->countPages),
req_tick_latency(p->mem_req_latency * p->clk_domain->clockPeriod()),
resp_tick_latency(p->mem_resp_latency * p->clk_domain->clockPeriod()),
_requestorId(p->system->getRequestorId(this, "ComputeUnit")),
lds(*p->localDataStore), gmTokenPort(name() + ".gmTokenPort", this),
ldsPort(csprintf("%s-port", name()), this),
scalarDataPort(csprintf("%s-port", name()), this),
scalarDTLBPort(csprintf("%s-port", name()), this),
sqcPort(csprintf("%s-port", name()), this),
sqcTLBPort(csprintf("%s-port", name()), this),
_cacheLineSize(p->system->cacheLineSize()),
_numBarrierSlots(p->num_barrier_slots),
globalSeqNum(0), wavefrontSize(p->wf_size),
scoreboardCheckToSchedule(p),
scheduleToExecute(p)
{
/**
* This check is necessary because std::bitset only provides conversion
* to unsigned long or unsigned long long via to_ulong() or to_ullong().
* there are a few places in the code where to_ullong() is used, however
* if wavefrontSize is larger than a value the host can support then
* bitset will throw a runtime exception. We should remove all use of
* to_long() or to_ullong() so we can have wavefrontSize greater than 64b,
* however until that is done this assert is required.
*/
fatal_if(p->wf_size > std::numeric_limits<unsigned long long>::digits ||
p->wf_size <= 0,
"WF size is larger than the host can support");
fatal_if(!isPowerOf2(wavefrontSize),
"Wavefront size should be a power of 2");
// calculate how many cycles a vector load or store will need to transfer
// its data over the corresponding buses
numCyclesPerStoreTransfer =
(uint32_t)ceil((double)(wfSize() * sizeof(uint32_t)) /
(double)vrfToCoalescerBusWidth);
numCyclesPerLoadTransfer = (wfSize() * sizeof(uint32_t))
/ coalescerToVrfBusWidth;
// Initialization: all WF slots are assumed STOPPED
idleWfs = p->n_wf * numVectorALUs;
lastVaddrWF.resize(numVectorALUs);
wfList.resize(numVectorALUs);
wfBarrierSlots.resize(p->num_barrier_slots, WFBarrier());
for (int i = 0; i < p->num_barrier_slots; ++i) {
freeBarrierIds.insert(i);
}
for (int j = 0; j < numVectorALUs; ++j) {
lastVaddrWF[j].resize(p->n_wf);
for (int i = 0; i < p->n_wf; ++i) {
lastVaddrWF[j][i].resize(wfSize());
wfList[j].push_back(p->wavefronts[j * p->n_wf + i]);
wfList[j][i]->setParent(this);
for (int k = 0; k < wfSize(); ++k) {
lastVaddrWF[j][i][k] = 0;
}
}
}
lastVaddrSimd.resize(numVectorALUs);
for (int i = 0; i < numVectorALUs; ++i) {
lastVaddrSimd[i].resize(wfSize(), 0);
}
lastVaddrCU.resize(wfSize());
lds.setParent(this);
if (p->execPolicy == "OLDEST-FIRST") {
exec_policy = EXEC_POLICY::OLDEST;
} else if (p->execPolicy == "ROUND-ROBIN") {
exec_policy = EXEC_POLICY::RR;
} else {
fatal("Invalid WF execution policy (CU)\n");
}
for (int i = 0; i < p->port_memory_port_connection_count; ++i) {
memPort.emplace_back(csprintf("%s-port%d", name(), i), this, i);
}
for (int i = 0; i < p->port_translation_port_connection_count; ++i) {
tlbPort.emplace_back(csprintf("%s-port%d", name(), i), this, i);
}
// Setup tokens for response ports. The number of tokens in memPortTokens
// is the total token count for the entire vector port (i.e., this CU).
memPortTokens = new TokenManager(p->max_cu_tokens);
registerExitCallback([this]() { exitCallback(); });
lastExecCycle.resize(numVectorALUs, 0);
for (int i = 0; i < vrf.size(); ++i) {
vrf[i]->setParent(this);
}
for (int i = 0; i < srf.size(); ++i) {
srf[i]->setParent(this);
}
numVecRegsPerSimd = vrf[0]->numRegs();
numScalarRegsPerSimd = srf[0]->numRegs();
registerManager->setParent(this);
activeWaves = 0;
instExecPerSimd.resize(numVectorALUs, 0);
// Calculate the number of bits to address a cache line
panic_if(!isPowerOf2(_cacheLineSize),
"Cache line size should be a power of two.");
cacheLineBits = floorLog2(_cacheLineSize);
}
ComputeUnit::~ComputeUnit()
{
// Delete wavefront slots
for (int j = 0; j < numVectorALUs; ++j) {
for (int i = 0; i < shader->n_wf; ++i) {
delete wfList[j][i];
}
lastVaddrSimd[j].clear();
}
lastVaddrCU.clear();
}
int
ComputeUnit::numExeUnits() const
{
return numVectorALUs + numScalarALUs + numVectorGlobalMemUnits +
numVectorSharedMemUnits + numScalarMemUnits;
}
// index into readyList of the first memory unit
int
ComputeUnit::firstMemUnit() const
{
return numVectorALUs + numScalarALUs;
}
// index into readyList of the last memory unit
int
ComputeUnit::lastMemUnit() const
{
return numExeUnits() - 1;
}
// index into scalarALUs vector of SALU used by the wavefront
int
ComputeUnit::mapWaveToScalarAlu(Wavefront *w) const
{
if (numScalarALUs == 1) {
return 0;
} else {
return w->simdId % numScalarALUs;
}
}
// index into readyList of Scalar ALU unit used by wavefront
int
ComputeUnit::mapWaveToScalarAluGlobalIdx(Wavefront *w) const
{
return numVectorALUs + mapWaveToScalarAlu(w);
}
// index into readyList of Global Memory unit used by wavefront
int
ComputeUnit::mapWaveToGlobalMem(Wavefront *w) const
{
// TODO: FIXME if more than 1 GM pipe supported
return numVectorALUs + numScalarALUs;
}
// index into readyList of Local Memory unit used by wavefront
int
ComputeUnit::mapWaveToLocalMem(Wavefront *w) const
{
// TODO: FIXME if more than 1 LM pipe supported
return numVectorALUs + numScalarALUs + numVectorGlobalMemUnits;
}
// index into readyList of Scalar Memory unit used by wavefront
int
ComputeUnit::mapWaveToScalarMem(Wavefront *w) const
{
// TODO: FIXME if more than 1 ScM pipe supported
return numVectorALUs + numScalarALUs + numVectorGlobalMemUnits +
numVectorSharedMemUnits;
}
void
ComputeUnit::fillKernelState(Wavefront *w, HSAQueueEntry *task)
{
w->resizeRegFiles(task->numVectorRegs(), task->numScalarRegs());
w->workGroupSz[0] = task->wgSize(0);
w->workGroupSz[1] = task->wgSize(1);
w->workGroupSz[2] = task->wgSize(2);
w->wgSz = w->workGroupSz[0] * w->workGroupSz[1] * w->workGroupSz[2];
w->gridSz[0] = task->gridSize(0);
w->gridSz[1] = task->gridSize(1);
w->gridSz[2] = task->gridSize(2);
w->computeActualWgSz(task);
}
void
ComputeUnit::startWavefront(Wavefront *w, int waveId, LdsChunk *ldsChunk,
HSAQueueEntry *task, int bar_id, bool fetchContext)
{
static int _n_wave = 0;
VectorMask init_mask;
init_mask.reset();
for (int k = 0; k < wfSize(); ++k) {
if (k + waveId * wfSize() < w->actualWgSzTotal)
init_mask[k] = 1;
}
w->execMask() = init_mask;
w->kernId = task->dispatchId();
w->wfId = waveId;
w->initMask = init_mask.to_ullong();
if (bar_id > WFBarrier::InvalidID) {
w->barrierId(bar_id);
} else {
assert(!w->hasBarrier());
}
for (int k = 0; k < wfSize(); ++k) {
w->workItemId[0][k] = (k + waveId * wfSize()) % w->actualWgSz[0];
w->workItemId[1][k] = ((k + waveId * wfSize()) / w->actualWgSz[0]) %
w->actualWgSz[1];
w->workItemId[2][k] = (k + waveId * wfSize()) /
(w->actualWgSz[0] * w->actualWgSz[1]);
w->workItemFlatId[k] = w->workItemId[2][k] * w->actualWgSz[0] *
w->actualWgSz[1] + w->workItemId[1][k] * w->actualWgSz[0] +
w->workItemId[0][k];
}
// WG state
w->wgId = task->globalWgId();
w->dispatchId = task->dispatchId();
w->workGroupId[0] = w->wgId % task->numWg(0);
w->workGroupId[1] = (w->wgId / task->numWg(0)) % task->numWg(1);
w->workGroupId[2] = w->wgId / (task->numWg(0) * task->numWg(1));
// set the wavefront context to have a pointer to this section of the LDS
w->ldsChunk = ldsChunk;
int32_t refCount M5_VAR_USED =
lds.increaseRefCounter(w->dispatchId, w->wgId);
DPRINTF(GPUDisp, "CU%d: increase ref ctr wg[%d] to [%d]\n",
cu_id, w->wgId, refCount);
w->instructionBuffer.clear();
if (w->pendingFetch)
w->dropFetch = true;
DPRINTF(GPUDisp, "Scheduling wfDynId/barrier_id %d/%d on CU%d: "
"WF[%d][%d]. Ref cnt:%d\n", _n_wave, w->barrierId(), cu_id,
w->simdId, w->wfSlotId, refCount);
w->initRegState(task, w->actualWgSzTotal);
w->start(_n_wave++, task->codeAddr());
waveLevelParallelism.sample(activeWaves);
activeWaves++;
}
/**
* trigger invalidate operation in the cu
*
* req: request initialized in shader, carrying the invlidate flags
*/
void
ComputeUnit::doInvalidate(RequestPtr req, int kernId){
GPUDynInstPtr gpuDynInst
= std::make_shared<GPUDynInst>(this, nullptr,
new KernelLaunchStaticInst(), getAndIncSeqNum());
// kern_id will be used in inv responses
gpuDynInst->kern_id = kernId;
// update contextId field
req->setContext(gpuDynInst->wfDynId);
injectGlobalMemFence(gpuDynInst, true, req);
}
/**
* trigger flush operation in the cu
*
* gpuDynInst: inst passed to the request
*/
void
ComputeUnit::doFlush(GPUDynInstPtr gpuDynInst) {
injectGlobalMemFence(gpuDynInst, true);
}
void
ComputeUnit::dispWorkgroup(HSAQueueEntry *task, int num_wfs_in_wg)
{
// If we aren't ticking, start it up!
if (!tickEvent.scheduled()) {
DPRINTF(GPUDisp, "CU%d: Scheduling wakeup next cycle\n", cu_id);
schedule(tickEvent, nextCycle());
}
// the kernel's invalidate must have finished before any wg dispatch
assert(task->isInvDone());
// reserve the LDS capacity allocated to the work group
// disambiguated by the dispatch ID and workgroup ID, which should be
// globally unique
LdsChunk *ldsChunk = lds.reserveSpace(task->dispatchId(),
task->globalWgId(),
task->ldsSize());
panic_if(!ldsChunk, "was not able to reserve space for this WG");
// calculate the number of 32-bit vector registers required
// by each work item
int vregDemand = task->numVectorRegs();
int sregDemand = task->numScalarRegs();
int wave_id = 0;
int barrier_id = WFBarrier::InvalidID;
/**
* If this WG only has one WF it will not consume any barrier
* resources because it has no need of them.
*/
if (num_wfs_in_wg > 1) {
/**
* Find a free barrier slot for this WG. Each WF in the WG will
* receive the same barrier ID.
*/
barrier_id = getFreeBarrierId();
auto &wf_barrier = barrierSlot(barrier_id);
assert(!wf_barrier.maxBarrierCnt());
assert(!wf_barrier.numAtBarrier());
wf_barrier.setMaxBarrierCnt(num_wfs_in_wg);
DPRINTF(GPUSync, "CU[%d] - Dispatching WG with barrier Id%d. "
"%d waves using this barrier.\n", cu_id, barrier_id,
num_wfs_in_wg);
}
// Assign WFs according to numWfsToSched vector, which is computed by
// hasDispResources()
for (int j = 0; j < shader->n_wf; ++j) {
for (int i = 0; i < numVectorALUs; ++i) {
Wavefront *w = wfList[i][j];
// Check if this wavefront slot is available and there are WFs
// remaining to be dispatched to current SIMD:
// WF slot must be stopped and not waiting
// for a release to complete S_RETURNING
if (w->getStatus() == Wavefront::S_STOPPED &&
numWfsToSched[i] > 0) {
// decrement number of WFs awaiting dispatch to current SIMD
numWfsToSched[i] -= 1;
fillKernelState(w, task);
DPRINTF(GPURename, "SIMD[%d] wfSlotId[%d] WF[%d] "
"vregDemand[%d] sregDemand[%d]\n", i, j, w->wfDynId,
vregDemand, sregDemand);
registerManager->allocateRegisters(w, vregDemand, sregDemand);
startWavefront(w, wave_id, ldsChunk, task, barrier_id);
++wave_id;
}
}
}
}
void
ComputeUnit::insertInPipeMap(Wavefront *w)
{
panic_if(w->instructionBuffer.empty(),
"Instruction Buffer of WF%d can't be empty", w->wgId);
GPUDynInstPtr ii = w->instructionBuffer.front();
pipeMap.emplace(ii->seqNum());
}
void
ComputeUnit::deleteFromPipeMap(Wavefront *w)
{
panic_if(w->instructionBuffer.empty(),
"Instruction Buffer of WF%d can't be empty", w->wgId);
GPUDynInstPtr ii = w->instructionBuffer.front();
// delete the dynamic instruction from the pipeline map
auto it = pipeMap.find(ii->seqNum());
panic_if(it == pipeMap.end(), "Pipeline Map is empty\n");
pipeMap.erase(it);
}
bool
ComputeUnit::hasDispResources(HSAQueueEntry *task, int &num_wfs_in_wg)
{
// compute true size of workgroup (after clamping to grid size)
int trueWgSize[HSAQueueEntry::MAX_DIM];
int trueWgSizeTotal = 1;
for (int d = 0; d < HSAQueueEntry::MAX_DIM; ++d) {
trueWgSize[d] = std::min(task->wgSize(d), task->gridSize(d) -
task->wgId(d) * task->wgSize(d));
trueWgSizeTotal *= trueWgSize[d];
DPRINTF(GPUDisp, "trueWgSize[%d] = %d\n", d, trueWgSize[d]);
}
DPRINTF(GPUDisp, "trueWgSizeTotal = %d\n", trueWgSizeTotal);
// calculate the number of WFs in this WG
int numWfs = (trueWgSizeTotal + wfSize() - 1) / wfSize();
num_wfs_in_wg = numWfs;
bool barrier_avail = true;
if (numWfs > 1 && !freeBarrierIds.size()) {
barrier_avail = false;
}
// calculate the number of 32-bit vector registers required by each
// work item of the work group
int vregDemandPerWI = task->numVectorRegs();
// calculate the number of 32-bit scalar registers required by each
// work item of the work group
int sregDemandPerWI = task->numScalarRegs();
// check if the total number of VGPRs snd SGPRs required by all WFs
// of the WG fit in the VRFs of all SIMD units and the CU's SRF
panic_if((numWfs * vregDemandPerWI) > (numVectorALUs * numVecRegsPerSimd),
"WG with %d WFs and %d VGPRs per WI can not be allocated to CU "
"that has %d VGPRs\n",
numWfs, vregDemandPerWI, numVectorALUs * numVecRegsPerSimd);
panic_if((numWfs * sregDemandPerWI) > numScalarRegsPerSimd,
"WG with %d WFs and %d SGPRs per WI can not be scheduled to CU "
"with %d SGPRs\n",
numWfs, sregDemandPerWI, numScalarRegsPerSimd);
// number of WF slots that are not occupied
int freeWfSlots = 0;
// number of Wfs from WG that were successfully mapped to a SIMD
int numMappedWfs = 0;
numWfsToSched.clear();
numWfsToSched.resize(numVectorALUs, 0);
// attempt to map WFs to the SIMDs, based on WF slot availability
// and register file availability
for (int j = 0; j < shader->n_wf; ++j) {
for (int i = 0; i < numVectorALUs; ++i) {
if (wfList[i][j]->getStatus() == Wavefront::S_STOPPED) {
++freeWfSlots;
// check if current WF will fit onto current SIMD/VRF
// if all WFs have not yet been mapped to the SIMDs
if (numMappedWfs < numWfs &&
registerManager->canAllocateSgprs(i, numWfsToSched[i] + 1,
sregDemandPerWI) &&
registerManager->canAllocateVgprs(i, numWfsToSched[i] + 1,
vregDemandPerWI)) {
numWfsToSched[i]++;
numMappedWfs++;
}
}
}
}
// check that the number of mapped WFs is not greater
// than the actual number of WFs
assert(numMappedWfs <= numWfs);
bool vregAvail = true;
bool sregAvail = true;
// if a WF to SIMD mapping was not found, find the limiting resource
if (numMappedWfs < numWfs) {
for (int j = 0; j < numVectorALUs; ++j) {
// find if there are enough free VGPRs in the SIMD's VRF
// to accomodate the WFs of the new WG that would be mapped
// to this SIMD unit
vregAvail &= registerManager->
canAllocateVgprs(j, numWfsToSched[j], vregDemandPerWI);
// find if there are enough free SGPRs in the SIMD's SRF
// to accomodate the WFs of the new WG that would be mapped
// to this SIMD unit
sregAvail &= registerManager->
canAllocateSgprs(j, numWfsToSched[j], sregDemandPerWI);
}
}
DPRINTF(GPUDisp, "Free WF slots = %d, Mapped WFs = %d, \
VGPR Availability = %d, SGPR Availability = %d\n",
freeWfSlots, numMappedWfs, vregAvail, sregAvail);
if (!vregAvail) {
++numTimesWgBlockedDueVgprAlloc;
}
if (!sregAvail) {
++numTimesWgBlockedDueSgprAlloc;
}
// Return true if enough WF slots to submit workgroup and if there are
// enough VGPRs to schedule all WFs to their SIMD units
bool ldsAvail = lds.canReserve(task->ldsSize());
if (!ldsAvail) {
wgBlockedDueLdsAllocation++;
}
if (!barrier_avail) {
wgBlockedDueBarrierAllocation++;
}
// Return true if the following are all true:
// (a) all WFs of the WG were mapped to free WF slots
// (b) there are enough VGPRs to schedule all WFs to their SIMD units
// (c) there are enough SGPRs on the CU to schedule all WFs
// (d) there is enough space in LDS to allocate for all WFs
bool can_dispatch = numMappedWfs == numWfs && vregAvail && sregAvail
&& ldsAvail && barrier_avail;
return can_dispatch;
}
int
ComputeUnit::numYetToReachBarrier(int bar_id)
{
auto &wf_barrier = barrierSlot(bar_id);
return wf_barrier.numYetToReachBarrier();
}
bool
ComputeUnit::allAtBarrier(int bar_id)
{
auto &wf_barrier = barrierSlot(bar_id);
return wf_barrier.allAtBarrier();
}
void
ComputeUnit::incNumAtBarrier(int bar_id)
{
auto &wf_barrier = barrierSlot(bar_id);
wf_barrier.incNumAtBarrier();
}
int
ComputeUnit::numAtBarrier(int bar_id)
{
auto &wf_barrier = barrierSlot(bar_id);
return wf_barrier.numAtBarrier();
}
int
ComputeUnit::maxBarrierCnt(int bar_id)
{
auto &wf_barrier = barrierSlot(bar_id);
return wf_barrier.maxBarrierCnt();
}
void
ComputeUnit::resetBarrier(int bar_id)
{
auto &wf_barrier = barrierSlot(bar_id);
wf_barrier.reset();
}
void
ComputeUnit::decMaxBarrierCnt(int bar_id)
{
auto &wf_barrier = barrierSlot(bar_id);
wf_barrier.decMaxBarrierCnt();
}
void
ComputeUnit::releaseBarrier(int bar_id)
{
auto &wf_barrier = barrierSlot(bar_id);
wf_barrier.release();
freeBarrierIds.insert(bar_id);
}
void
ComputeUnit::releaseWFsFromBarrier(int bar_id)
{
for (int i = 0; i < numVectorALUs; ++i) {
for (int j = 0; j < shader->n_wf; ++j) {
Wavefront *wf = wfList[i][j];
if (wf->barrierId() == bar_id) {
assert(wf->getStatus() == Wavefront::S_BARRIER);
wf->setStatus(Wavefront::S_RUNNING);
}
}
}
}
// Execute one clock worth of work on the ComputeUnit.
void
ComputeUnit::exec()
{
// process reads and writes in the RFs
for (auto &vecRegFile : vrf) {
vecRegFile->exec();
}
for (auto &scRegFile : srf) {
scRegFile->exec();
}
// Execute pipeline stages in reverse order to simulate
// the pipeline latency
scalarMemoryPipe.exec();
globalMemoryPipe.exec();
localMemoryPipe.exec();
execStage.exec();
scheduleStage.exec();
scoreboardCheckStage.exec();
fetchStage.exec();
totalCycles++;
// Put this CU to sleep if there is no more work to be done.
if (!isDone()) {
schedule(tickEvent, nextCycle());
} else {
shader->notifyCuSleep();
DPRINTF(GPUDisp, "CU%d: Going to sleep\n", cu_id);
}
}
void
ComputeUnit::init()
{
// Initialize CU Bus models and execution resources
// Vector ALUs
vectorALUs.clear();
for (int i = 0; i < numVectorALUs; i++) {
vectorALUs.emplace_back(this, clockPeriod());
}
// Scalar ALUs
scalarALUs.clear();
for (int i = 0; i < numScalarALUs; i++) {
scalarALUs.emplace_back(this, clockPeriod());
}
// Vector Global Memory
fatal_if(numVectorGlobalMemUnits > 1,
"No support for multiple Global Memory Pipelines exists!!!");
vectorGlobalMemUnit.init(this, clockPeriod());
vrfToGlobalMemPipeBus.init(this, clockPeriod());
glbMemToVrfBus.init(this, clockPeriod());
// Vector Local/Shared Memory
fatal_if(numVectorSharedMemUnits > 1,
"No support for multiple Local Memory Pipelines exists!!!");
vectorSharedMemUnit.init(this, clockPeriod());
vrfToLocalMemPipeBus.init(this, clockPeriod());
locMemToVrfBus.init(this, clockPeriod());
// Scalar Memory
fatal_if(numScalarMemUnits > 1,
"No support for multiple Scalar Memory Pipelines exists!!!");
scalarMemUnit.init(this, clockPeriod());
srfToScalarMemPipeBus.init(this, clockPeriod());
scalarMemToSrfBus.init(this, clockPeriod());
vectorRegsReserved.resize(numVectorALUs, 0);
scalarRegsReserved.resize(numVectorALUs, 0);
fetchStage.init();
scheduleStage.init();
execStage.init();
globalMemoryPipe.init();
gmTokenPort.setTokenManager(memPortTokens);
}
bool
ComputeUnit::DataPort::recvTimingResp(PacketPtr pkt)
{
// Ruby has completed the memory op. Schedule the mem_resp_event at the
// appropriate cycle to process the timing memory response
// This delay represents the pipeline delay
SenderState *sender_state = safe_cast<SenderState*>(pkt->senderState);
PortID index = sender_state->port_index;
GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst;
GPUDispatcher &dispatcher = computeUnit->shader->dispatcher();
// MemSyncResp + WriteAckResp are handled completely here and we don't
// schedule a MemRespEvent to process the responses further
if (pkt->cmd == MemCmd::MemSyncResp) {
// This response is for 1 of the following request types:
// - kernel launch
// - kernel end
// - non-kernel mem sync
// Kernel Launch
// wavefront was nullptr when launching kernel, so it is meaningless
// here (simdId=-1, wfSlotId=-1)
if (gpuDynInst->isKernelLaunch()) {
// for kernel launch, the original request must be both kernel-type
// and acquire
assert(pkt->req->isKernel());
assert(pkt->req->isAcquire());
// one D-Cache inv is done, decrement counter
dispatcher.updateInvCounter(gpuDynInst->kern_id);
delete pkt->senderState;
delete pkt;
return true;
}
// retrieve wavefront from inst
Wavefront *w = gpuDynInst->wavefront();
// Check if we are waiting on Kernel End Release
if (w->getStatus() == Wavefront::S_RETURNING
&& gpuDynInst->isEndOfKernel()) {
// for kernel end, the original request must be both kernel-type
// and release
assert(pkt->req->isKernel());
assert(pkt->req->isRelease());
// one wb done, decrement counter, and return whether all wbs are
// done for the kernel
bool isWbDone = dispatcher.updateWbCounter(gpuDynInst->kern_id);
// not all wbs are done for the kernel, just release pkt
// resources
if (!isWbDone) {
delete pkt->senderState;
delete pkt;
return true;
}
// all wbs are completed for the kernel, do retirement work
// for the workgroup
DPRINTF(GPUDisp, "CU%d: WF[%d][%d][wv=%d]: WG %d completed\n",
computeUnit->cu_id, w->simdId, w->wfSlotId,
w->wfDynId, w->wgId);
dispatcher.notifyWgCompl(w);
w->setStatus(Wavefront::S_STOPPED);
}
if (!pkt->req->isKernel()) {
w = computeUnit->wfList[gpuDynInst->simdId][gpuDynInst->wfSlotId];
DPRINTF(GPUExec, "MemSyncResp: WF[%d][%d] WV%d %s decrementing "
"outstanding reqs %d => %d\n", gpuDynInst->simdId,
gpuDynInst->wfSlotId, gpuDynInst->wfDynId,
gpuDynInst->disassemble(), w->outstandingReqs,
w->outstandingReqs - 1);
computeUnit->globalMemoryPipe.handleResponse(gpuDynInst);
}
delete pkt->senderState;
delete pkt;
return true;
} else if (pkt->cmd == MemCmd::WriteCompleteResp) {
// this is for writeComplete callback
// we simply get decrement write-related wait counters
assert(gpuDynInst);
Wavefront *w M5_VAR_USED =
computeUnit->wfList[gpuDynInst->simdId][gpuDynInst->wfSlotId];
assert(w);
DPRINTF(GPUExec, "WriteCompleteResp: WF[%d][%d] WV%d %s decrementing "
"outstanding reqs %d => %d\n", gpuDynInst->simdId,
gpuDynInst->wfSlotId, gpuDynInst->wfDynId,
gpuDynInst->disassemble(), w->outstandingReqs,
w->outstandingReqs - 1);
if (gpuDynInst->allLanesZero()) {
// ask gm pipe to decrement request counters, instead of directly
// performing here, to avoid asynchronous counter update and
// instruction retirement (which may hurt waincnt effects)
computeUnit->globalMemoryPipe.handleResponse(gpuDynInst);
DPRINTF(GPUMem, "CU%d: WF[%d][%d]: write totally complete\n",
computeUnit->cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId);
}
delete pkt->senderState;
delete pkt;
return true;
}
EventFunctionWrapper *mem_resp_event =
computeUnit->memPort[index].createMemRespEvent(pkt);
DPRINTF(GPUPort,
"CU%d: WF[%d][%d]: gpuDynInst: %d, index %d, addr %#x received!\n",
computeUnit->cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId,
gpuDynInst->seqNum(), index, pkt->req->getPaddr());
computeUnit->schedule(mem_resp_event,
curTick() + computeUnit->resp_tick_latency);
return true;
}
bool
ComputeUnit::ScalarDataPort::recvTimingResp(PacketPtr pkt)
{
assert(!pkt->req->isKernel());
// retrieve sender state
SenderState *sender_state = safe_cast<SenderState*>(pkt->senderState);
GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst;
assert(pkt->isRead() || pkt->isWrite());
assert(gpuDynInst->numScalarReqs > 0);
gpuDynInst->numScalarReqs--;
/**
* for each returned scalar request we decrement the
* numScalarReqs counter that is associated with this
* gpuDynInst, which should have been set to correspond
* to the number of packets sent for the memory op.
* once all packets return, the memory op is finished
* and we can push it into the response queue.
*/
if (!gpuDynInst->numScalarReqs) {
if (gpuDynInst->isLoad() || gpuDynInst->isAtomic()) {
computeUnit->scalarMemoryPipe.getGMLdRespFIFO().push(
gpuDynInst);
} else {
computeUnit->scalarMemoryPipe.getGMStRespFIFO().push(
gpuDynInst);
}
}
delete pkt->senderState;
delete pkt;
return true;
}
void
ComputeUnit::ScalarDataPort::recvReqRetry()
{
for (const auto &pkt : retries) {
if (!sendTimingReq(pkt)) {
break;
} else {
retries.pop_front();
}
}
}
void
ComputeUnit::DataPort::recvReqRetry()
{
int len = retries.size();
assert(len > 0);
for (int i = 0; i < len; ++i) {
PacketPtr pkt = retries.front().first;
GPUDynInstPtr gpuDynInst M5_VAR_USED = retries.front().second;
DPRINTF(GPUMem, "CU%d: WF[%d][%d]: retry mem inst addr %#x\n",
computeUnit->cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId,
pkt->req->getPaddr());
/** Currently Ruby can return false due to conflicts for the particular
* cache block or address. Thus other requests should be allowed to
* pass and the data port should expect multiple retries. */
if (!sendTimingReq(pkt)) {
DPRINTF(GPUMem, "failed again!\n");
break;
} else {
DPRINTF(GPUMem, "successful!\n");
retries.pop_front();
}
}
}
bool
ComputeUnit::SQCPort::recvTimingResp(PacketPtr pkt)
{
computeUnit->fetchStage.processFetchReturn(pkt);
return true;
}
void
ComputeUnit::SQCPort::recvReqRetry()
{
int len = retries.size();
assert(len > 0);
for (int i = 0; i < len; ++i) {
PacketPtr pkt = retries.front().first;
Wavefront *wavefront M5_VAR_USED = retries.front().second;
DPRINTF(GPUFetch, "CU%d: WF[%d][%d]: retrying FETCH addr %#x\n",
computeUnit->cu_id, wavefront->simdId, wavefront->wfSlotId,
pkt->req->getPaddr());
if (!sendTimingReq(pkt)) {
DPRINTF(GPUFetch, "failed again!\n");
break;
} else {
DPRINTF(GPUFetch, "successful!\n");
retries.pop_front();
}
}
}
void
ComputeUnit::sendRequest(GPUDynInstPtr gpuDynInst, PortID index, PacketPtr pkt)
{
// There must be a way around this check to do the globalMemStart...
Addr tmp_vaddr = pkt->req->getVaddr();
updatePageDivergenceDist(tmp_vaddr);
// set PC in request
pkt->req->setPC(gpuDynInst->wavefront()->pc());
pkt->req->setReqInstSeqNum(gpuDynInst->seqNum());
// figure out the type of the request to set read/write
BaseTLB::Mode TLB_mode;
assert(pkt->isRead() || pkt->isWrite());
// only do some things if actually accessing data
bool isDataAccess = pkt->isWrite() || pkt->isRead();
// Check write before read for atomic operations
// since atomic operations should use BaseTLB::Write
if (pkt->isWrite()) {
TLB_mode = BaseTLB::Write;
} else if (pkt->isRead()) {
TLB_mode = BaseTLB::Read;
} else {
fatal("pkt is not a read nor a write\n");
}
tlbCycles -= curTick();
++tlbRequests;
PortID tlbPort_index = perLaneTLB ? index : 0;
if (shader->timingSim) {
if (debugSegFault) {
Process *p = shader->gpuTc->getProcessPtr();
Addr vaddr = pkt->req->getVaddr();
unsigned size = pkt->getSize();
if ((vaddr + size - 1) % 64 < vaddr % 64) {
panic("CU%d: WF[%d][%d]: Access to addr %#x is unaligned!\n",
cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, vaddr);
}
Addr paddr;
if (!p->pTable->translate(vaddr, paddr)) {
if (!p->fixupFault(vaddr)) {
panic("CU%d: WF[%d][%d]: Fault on addr %#x!\n",
cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId,
vaddr);
}
}
}
// This is the SenderState needed upon return
pkt->senderState = new DTLBPort::SenderState(gpuDynInst, index);
// This is the senderState needed by the TLB hierarchy to function
TheISA::GpuTLB::TranslationState *translation_state =
new TheISA::GpuTLB::TranslationState(TLB_mode, shader->gpuTc, false,
pkt->senderState);
pkt->senderState = translation_state;
if (functionalTLB) {
tlbPort[tlbPort_index].sendFunctional(pkt);
// update the hitLevel distribution
int hit_level = translation_state->hitLevel;
assert(hit_level != -1);
hitsPerTLBLevel[hit_level]++;
// New SenderState for the memory access
X86ISA::GpuTLB::TranslationState *sender_state =
safe_cast<X86ISA::GpuTLB::TranslationState*>(pkt->senderState);
delete sender_state->tlbEntry;
delete sender_state->saved;
delete sender_state;
assert(pkt->req->hasPaddr());
assert(pkt->req->hasSize());
// this is necessary because the GPU TLB receives packets instead
// of requests. when the translation is complete, all relevent
// fields in the request will be populated, but not in the packet.
// here we create the new packet so we can set the size, addr,
// and proper flags.
PacketPtr oldPkt = pkt;
pkt = new Packet(oldPkt->req, oldPkt->cmd);
if (isDataAccess) {
uint8_t *tmpData = oldPkt->getPtr<uint8_t>();
pkt->dataStatic(tmpData);
}
delete oldPkt;
// New SenderState for the memory access
pkt->senderState =
new ComputeUnit::DataPort::SenderState(gpuDynInst, index,
nullptr);
gpuDynInst->memStatusVector[pkt->getAddr()].push_back(index);
gpuDynInst->tlbHitLevel[index] = hit_level;
// translation is done. Schedule the mem_req_event at the
// appropriate cycle to send the timing memory request to ruby
EventFunctionWrapper *mem_req_event =
memPort[index].createMemReqEvent(pkt);
DPRINTF(GPUPort, "CU%d: WF[%d][%d]: index %d, addr %#x data "
"scheduled\n", cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, index, pkt->req->getPaddr());
schedule(mem_req_event, curTick() + req_tick_latency);
} else if (tlbPort[tlbPort_index].isStalled()) {
assert(tlbPort[tlbPort_index].retries.size() > 0);
DPRINTF(GPUTLB, "CU%d: WF[%d][%d]: Translation for addr %#x "
"failed!\n", cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, tmp_vaddr);
tlbPort[tlbPort_index].retries.push_back(pkt);
} else if (!tlbPort[tlbPort_index].sendTimingReq(pkt)) {
// Stall the data port;
// No more packet will be issued till
// ruby indicates resources are freed by
// a recvReqRetry() call back on this port.
tlbPort[tlbPort_index].stallPort();
DPRINTF(GPUTLB, "CU%d: WF[%d][%d]: Translation for addr %#x "
"failed!\n", cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, tmp_vaddr);
tlbPort[tlbPort_index].retries.push_back(pkt);
} else {
DPRINTF(GPUTLB,
"CU%d: WF[%d][%d]: Translation for addr %#x sent!\n",
cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, tmp_vaddr);
}
} else {
if (pkt->cmd == MemCmd::MemSyncReq) {
gpuDynInst->resetEntireStatusVector();
} else {
gpuDynInst->decrementStatusVector(index);
}
// New SenderState for the memory access
delete pkt->senderState;
// Because it's atomic operation, only need TLB translation state
pkt->senderState = new TheISA::GpuTLB::TranslationState(TLB_mode,
shader->gpuTc);
tlbPort[tlbPort_index].sendFunctional(pkt);
// the addr of the packet is not modified, so we need to create a new
// packet, or otherwise the memory access will have the old virtual
// address sent in the translation packet, instead of the physical
// address returned by the translation.
PacketPtr new_pkt = new Packet(pkt->req, pkt->cmd);
new_pkt->dataStatic(pkt->getPtr<uint8_t>());
// Translation is done. It is safe to send the packet to memory.
memPort[0].sendFunctional(new_pkt);
DPRINTF(GPUMem, "Functional sendRequest\n");
DPRINTF(GPUMem, "CU%d: WF[%d][%d]: index %d: addr %#x\n", cu_id,
gpuDynInst->simdId, gpuDynInst->wfSlotId, index,
new_pkt->req->getPaddr());
// safe_cast the senderState
TheISA::GpuTLB::TranslationState *sender_state =
safe_cast<TheISA::GpuTLB::TranslationState*>(pkt->senderState);
delete sender_state->tlbEntry;
delete new_pkt;
delete pkt->senderState;
delete pkt;
}
}
void
ComputeUnit::sendScalarRequest(GPUDynInstPtr gpuDynInst, PacketPtr pkt)
{
assert(pkt->isWrite() || pkt->isRead());
BaseTLB::Mode tlb_mode = pkt->isRead() ? BaseTLB::Read : BaseTLB::Write;
pkt->senderState =
new ComputeUnit::ScalarDTLBPort::SenderState(gpuDynInst);
pkt->senderState =
new TheISA::GpuTLB::TranslationState(tlb_mode, shader->gpuTc, false,
pkt->senderState);
if (scalarDTLBPort.isStalled()) {
assert(scalarDTLBPort.retries.size());
scalarDTLBPort.retries.push_back(pkt);
} else if (!scalarDTLBPort.sendTimingReq(pkt)) {
scalarDTLBPort.stallPort();
scalarDTLBPort.retries.push_back(pkt);
} else {
DPRINTF(GPUTLB, "sent scalar %s translation request for addr %#x\n",
tlb_mode == BaseTLB::Read ? "read" : "write",
pkt->req->getVaddr());
}
}
void
ComputeUnit::injectGlobalMemFence(GPUDynInstPtr gpuDynInst,
bool kernelMemSync,
RequestPtr req)
{
assert(gpuDynInst->isGlobalSeg() ||
gpuDynInst->executedAs() == Enums::SC_GLOBAL);
if (!req) {
req = std::make_shared<Request>(
0, 0, 0, requestorId(), 0, gpuDynInst->wfDynId);
}
// all mem sync requests have Paddr == 0
req->setPaddr(0);
PacketPtr pkt = nullptr;
if (kernelMemSync) {
if (gpuDynInst->isKernelLaunch()) {
req->setCacheCoherenceFlags(Request::ACQUIRE);
req->setReqInstSeqNum(gpuDynInst->seqNum());
req->setFlags(Request::KERNEL);
pkt = new Packet(req, MemCmd::MemSyncReq);
pkt->pushSenderState(
new ComputeUnit::DataPort::SenderState(gpuDynInst, 0, nullptr));
EventFunctionWrapper *mem_req_event =
memPort[0].createMemReqEvent(pkt);
DPRINTF(GPUPort, "CU%d: WF[%d][%d]: index %d, addr %#x scheduling "
"an acquire\n", cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, 0, pkt->req->getPaddr());
schedule(mem_req_event, curTick() + req_tick_latency);
} else {
// kernel end release must be enabled
assert(shader->impl_kern_end_rel);
assert(gpuDynInst->isEndOfKernel());
req->setCacheCoherenceFlags(Request::WB_L2);
req->setReqInstSeqNum(gpuDynInst->seqNum());
req->setFlags(Request::KERNEL);
pkt = new Packet(req, MemCmd::MemSyncReq);
pkt->pushSenderState(
new ComputeUnit::DataPort::SenderState(gpuDynInst, 0, nullptr));
EventFunctionWrapper *mem_req_event =
memPort[0].createMemReqEvent(pkt);
DPRINTF(GPUPort, "CU%d: WF[%d][%d]: index %d, addr %#x scheduling "
"a release\n", cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, 0, pkt->req->getPaddr());
schedule(mem_req_event, curTick() + req_tick_latency);
}
} else {
gpuDynInst->setRequestFlags(req);
req->setReqInstSeqNum(gpuDynInst->seqNum());
pkt = new Packet(req, MemCmd::MemSyncReq);
pkt->pushSenderState(
new ComputeUnit::DataPort::SenderState(gpuDynInst, 0, nullptr));
EventFunctionWrapper *mem_req_event =
memPort[0].createMemReqEvent(pkt);
DPRINTF(GPUPort,
"CU%d: WF[%d][%d]: index %d, addr %#x sync scheduled\n",
cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId, 0,
pkt->req->getPaddr());
schedule(mem_req_event, curTick() + req_tick_latency);
}
}
void
ComputeUnit::DataPort::processMemRespEvent(PacketPtr pkt)
{
DataPort::SenderState *sender_state =
safe_cast<DataPort::SenderState*>(pkt->senderState);
GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst;
ComputeUnit *compute_unit = computeUnit;
assert(gpuDynInst);
DPRINTF(GPUPort, "CU%d: WF[%d][%d]: Response for addr %#x, index %d\n",
compute_unit->cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId,
pkt->req->getPaddr(), id);
Addr paddr = pkt->req->getPaddr();
// mem sync resp and write-complete callback must be handled already in
// DataPort::recvTimingResp
assert(pkt->cmd != MemCmd::MemSyncResp);
assert(pkt->cmd != MemCmd::WriteCompleteResp);
// this is for read, write and atomic
int index = gpuDynInst->memStatusVector[paddr].back();
DPRINTF(GPUMem, "Response for addr %#x, index %d\n",
pkt->req->getPaddr(), id);
gpuDynInst->memStatusVector[paddr].pop_back();
gpuDynInst->pAddr = pkt->req->getPaddr();
gpuDynInst->decrementStatusVector(index);
DPRINTF(GPUMem, "bitvector is now %s\n", gpuDynInst->printStatusVector());
if (gpuDynInst->allLanesZero()) {
auto iter = gpuDynInst->memStatusVector.begin();
auto end = gpuDynInst->memStatusVector.end();
while (iter != end) {
assert(iter->second.empty());
++iter;
}
// Calculate the difference between the arrival of the first cache
// block and the last cache block to arrive if we have the time
// for the first cache block.
if (compute_unit->headTailMap.count(gpuDynInst)) {
Tick headTick = compute_unit->headTailMap.at(gpuDynInst);
compute_unit->headTailLatency.sample(curTick() - headTick);
compute_unit->headTailMap.erase(gpuDynInst);
}
gpuDynInst->memStatusVector.clear();
// note: only handle read response here; for write, the response
// is separately handled when writeComplete callback is received
if (pkt->isRead()) {
gpuDynInst->
profileRoundTripTime(curTick(), InstMemoryHop::GMEnqueue);
compute_unit->globalMemoryPipe.handleResponse(gpuDynInst);
DPRINTF(GPUMem, "CU%d: WF[%d][%d]: packet totally complete\n",
compute_unit->cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId);
}
} else {
if (pkt->isRead()) {
if (!compute_unit->headTailMap.count(gpuDynInst)) {
compute_unit->headTailMap
.insert(std::make_pair(gpuDynInst, curTick()));
}
}
}
delete pkt->senderState;
delete pkt;
}
ComputeUnit*
ComputeUnitParams::create()
{
return new ComputeUnit(this);
}
bool
ComputeUnit::DTLBPort::recvTimingResp(PacketPtr pkt)
{
Addr line = pkt->req->getPaddr();
DPRINTF(GPUTLB, "CU%d: DTLBPort received %#x->%#x\n", computeUnit->cu_id,
pkt->req->getVaddr(), line);
assert(pkt->senderState);
computeUnit->tlbCycles += curTick();
// pop off the TLB translation state
TheISA::GpuTLB::TranslationState *translation_state =
safe_cast<TheISA::GpuTLB::TranslationState*>(pkt->senderState);
// no PageFaults are permitted for data accesses
if (!translation_state->tlbEntry) {
DTLBPort::SenderState *sender_state =
safe_cast<DTLBPort::SenderState*>(translation_state->saved);
Wavefront *w M5_VAR_USED =
computeUnit->wfList[sender_state->_gpuDynInst->simdId]
[sender_state->_gpuDynInst->wfSlotId];
DPRINTFN("Wave %d couldn't tranlate vaddr %#x\n", w->wfDynId,
pkt->req->getVaddr());
}
// update the hitLevel distribution
int hit_level = translation_state->hitLevel;
computeUnit->hitsPerTLBLevel[hit_level]++;
delete translation_state->tlbEntry;
assert(!translation_state->ports.size());
pkt->senderState = translation_state->saved;
// for prefetch pkt
BaseTLB::Mode TLB_mode = translation_state->tlbMode;
delete translation_state;
// use the original sender state to know how to close this transaction
DTLBPort::SenderState *sender_state =
safe_cast<DTLBPort::SenderState*>(pkt->senderState);
GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst;
PortID mp_index = sender_state->portIndex;
Addr vaddr = pkt->req->getVaddr();
gpuDynInst->memStatusVector[line].push_back(mp_index);
gpuDynInst->tlbHitLevel[mp_index] = hit_level;
MemCmd requestCmd;
if (pkt->cmd == MemCmd::ReadResp) {
requestCmd = MemCmd::ReadReq;
} else if (pkt->cmd == MemCmd::WriteResp) {
requestCmd = MemCmd::WriteReq;
} else if (pkt->cmd == MemCmd::SwapResp) {
requestCmd = MemCmd::SwapReq;
} else {
panic("unsupported response to request conversion %s\n",
pkt->cmd.toString());
}
if (computeUnit->prefetchDepth) {
int simdId = gpuDynInst->simdId;
int wfSlotId = gpuDynInst->wfSlotId;
Addr last = 0;
switch(computeUnit->prefetchType) {
case Enums::PF_CU:
last = computeUnit->lastVaddrCU[mp_index];
break;
case Enums::PF_PHASE:
last = computeUnit->lastVaddrSimd[simdId][mp_index];
break;
case Enums::PF_WF:
last = computeUnit->lastVaddrWF[simdId][wfSlotId][mp_index];
default:
break;
}
DPRINTF(GPUPrefetch, "CU[%d][%d][%d][%d]: %#x was last\n",
computeUnit->cu_id, simdId, wfSlotId, mp_index, last);
int stride = last ? (roundDown(vaddr, TheISA::PageBytes) -
roundDown(last, TheISA::PageBytes)) >> TheISA::PageShift
: 0;
DPRINTF(GPUPrefetch, "Stride is %d\n", stride);
computeUnit->lastVaddrCU[mp_index] = vaddr;
computeUnit->lastVaddrSimd[simdId][mp_index] = vaddr;
computeUnit->lastVaddrWF[simdId][wfSlotId][mp_index] = vaddr;
stride = (computeUnit->prefetchType == Enums::PF_STRIDE) ?
computeUnit->prefetchStride: stride;
DPRINTF(GPUPrefetch, "%#x to: CU[%d][%d][%d][%d]\n", vaddr,
computeUnit->cu_id, simdId, wfSlotId, mp_index);
DPRINTF(GPUPrefetch, "Prefetching from %#x:", vaddr);
// Prefetch Next few pages atomically
for (int pf = 1; pf <= computeUnit->prefetchDepth; ++pf) {
DPRINTF(GPUPrefetch, "%d * %d: %#x\n", pf, stride,
vaddr+stride*pf*TheISA::PageBytes);
if (!stride)
break;
RequestPtr prefetch_req = std::make_shared<Request>(
vaddr + stride * pf * TheISA::PageBytes,
sizeof(uint8_t), 0,
computeUnit->requestorId(),
0, 0, nullptr);
PacketPtr prefetch_pkt = new Packet(prefetch_req, requestCmd);
uint8_t foo = 0;
prefetch_pkt->dataStatic(&foo);
// Because it's atomic operation, only need TLB translation state
prefetch_pkt->senderState =
new TheISA::GpuTLB::TranslationState(TLB_mode,
computeUnit->shader->gpuTc, true);
// Currently prefetches are zero-latency, hence the sendFunctional
sendFunctional(prefetch_pkt);
/* safe_cast the senderState */
TheISA::GpuTLB::TranslationState *tlb_state =
safe_cast<TheISA::GpuTLB::TranslationState*>(
prefetch_pkt->senderState);
delete tlb_state->tlbEntry;
delete tlb_state;
delete prefetch_pkt;
}
}
// First we must convert the response cmd back to a request cmd so that
// the request can be sent through the cu's request port
PacketPtr new_pkt = new Packet(pkt->req, requestCmd);
new_pkt->dataStatic(pkt->getPtr<uint8_t>());
delete pkt->senderState;
delete pkt;
// New SenderState for the memory access
new_pkt->senderState =
new ComputeUnit::DataPort::SenderState(gpuDynInst, mp_index,
nullptr);
// translation is done. Schedule the mem_req_event at the appropriate
// cycle to send the timing memory request to ruby
EventFunctionWrapper *mem_req_event =
computeUnit->memPort[mp_index].createMemReqEvent(new_pkt);
DPRINTF(GPUPort, "CU%d: WF[%d][%d]: index %d, addr %#x data scheduled\n",
computeUnit->cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, mp_index, new_pkt->req->getPaddr());
computeUnit->schedule(mem_req_event, curTick() +
computeUnit->req_tick_latency);
return true;
}
EventFunctionWrapper*
ComputeUnit::DataPort::createMemReqEvent(PacketPtr pkt)
{
return new EventFunctionWrapper(
[this, pkt]{ processMemReqEvent(pkt); },
"ComputeUnit memory request event", true);
}
EventFunctionWrapper*
ComputeUnit::DataPort::createMemRespEvent(PacketPtr pkt)
{
return new EventFunctionWrapper(
[this, pkt]{ processMemRespEvent(pkt); },
"ComputeUnit memory response event", true);
}
void
ComputeUnit::DataPort::processMemReqEvent(PacketPtr pkt)
{
SenderState *sender_state = safe_cast<SenderState*>(pkt->senderState);
GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst;
ComputeUnit *compute_unit M5_VAR_USED = computeUnit;
if (!(sendTimingReq(pkt))) {
retries.push_back(std::make_pair(pkt, gpuDynInst));
DPRINTF(GPUPort,
"CU%d: WF[%d][%d]: index %d, addr %#x data req failed!\n",
compute_unit->cu_id, gpuDynInst->simdId, gpuDynInst->wfSlotId,
id, pkt->req->getPaddr());
} else {
DPRINTF(GPUPort,
"CU%d: WF[%d][%d]: gpuDynInst: %d, index %d, addr %#x data "
"req sent!\n", compute_unit->cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, gpuDynInst->seqNum(), id,
pkt->req->getPaddr());
}
}
const char*
ComputeUnit::ScalarDataPort::MemReqEvent::description() const
{
return "ComputeUnit scalar memory request event";
}
void
ComputeUnit::ScalarDataPort::MemReqEvent::process()
{
SenderState *sender_state = safe_cast<SenderState*>(pkt->senderState);
GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst;
ComputeUnit *compute_unit M5_VAR_USED = scalarDataPort.computeUnit;
if (!(scalarDataPort.sendTimingReq(pkt))) {
scalarDataPort.retries.push_back(pkt);
DPRINTF(GPUPort,
"CU%d: WF[%d][%d]: addr %#x data req failed!\n",
compute_unit->cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, pkt->req->getPaddr());
} else {
DPRINTF(GPUPort,
"CU%d: WF[%d][%d]: gpuDynInst: %d, addr %#x data "
"req sent!\n", compute_unit->cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, gpuDynInst->seqNum(),
pkt->req->getPaddr());
}
}
/*
* The initial translation request could have been rejected,
* if <retries> queue is not Retry sending the translation
* request. sendRetry() is called from the peer port whenever
* a translation completes.
*/
void
ComputeUnit::DTLBPort::recvReqRetry()
{
int len = retries.size();
DPRINTF(GPUTLB, "CU%d: DTLB recvReqRetry - %d pending requests\n",
computeUnit->cu_id, len);
assert(len > 0);
assert(isStalled());
// recvReqRetry is an indication that the resource on which this
// port was stalling on is freed. So, remove the stall first
unstallPort();
for (int i = 0; i < len; ++i) {
PacketPtr pkt = retries.front();
Addr vaddr M5_VAR_USED = pkt->req->getVaddr();
DPRINTF(GPUTLB, "CU%d: retrying D-translaton for address%#x", vaddr);
if (!sendTimingReq(pkt)) {
// Stall port
stallPort();
DPRINTF(GPUTLB, ": failed again\n");
break;
} else {
DPRINTF(GPUTLB, ": successful\n");
retries.pop_front();
}
}
}
bool
ComputeUnit::ScalarDTLBPort::recvTimingResp(PacketPtr pkt)
{
assert(pkt->senderState);
TheISA::GpuTLB::TranslationState *translation_state =
safe_cast<TheISA::GpuTLB::TranslationState*>(pkt->senderState);
// Page faults are not allowed
fatal_if(!translation_state->tlbEntry,
"Translation of vaddr %#x failed\n", pkt->req->getVaddr());
delete translation_state->tlbEntry;
assert(!translation_state->ports.size());
pkt->senderState = translation_state->saved;
delete translation_state;
ScalarDTLBPort::SenderState *sender_state =
safe_cast<ScalarDTLBPort::SenderState*>(pkt->senderState);
GPUDynInstPtr gpuDynInst = sender_state->_gpuDynInst;
delete pkt->senderState;
Wavefront *w M5_VAR_USED = gpuDynInst->wavefront();
DPRINTF(GPUTLB, "CU%d: WF[%d][%d][wv=%d]: scalar DTLB port received "
"translation: PA %#x -> %#x\n", computeUnit->cu_id, w->simdId,
w->wfSlotId, w->kernId, pkt->req->getVaddr(), pkt->req->getPaddr());
MemCmd mem_cmd;
if (pkt->cmd == MemCmd::ReadResp) {
mem_cmd = MemCmd::ReadReq;
} else if (pkt->cmd == MemCmd::WriteResp) {
mem_cmd = MemCmd::WriteReq;
} else {
fatal("Scalar DTLB receieved unexpected MemCmd response %s\n",
pkt->cmd.toString());
}
PacketPtr req_pkt = new Packet(pkt->req, mem_cmd);
req_pkt->dataStatic(pkt->getPtr<uint8_t>());
delete pkt;
req_pkt->senderState =
new ComputeUnit::ScalarDataPort::SenderState(gpuDynInst);
if (!computeUnit->scalarDataPort.sendTimingReq(req_pkt)) {
computeUnit->scalarDataPort.retries.push_back(req_pkt);
DPRINTF(GPUMem, "send scalar req failed for: %s\n",
gpuDynInst->disassemble());
} else {
DPRINTF(GPUMem, "send scalar req for: %s\n",
gpuDynInst->disassemble());
}
return true;
}
bool
ComputeUnit::ITLBPort::recvTimingResp(PacketPtr pkt)
{
Addr line M5_VAR_USED = pkt->req->getPaddr();
DPRINTF(GPUTLB, "CU%d: ITLBPort received %#x->%#x\n",
computeUnit->cu_id, pkt->req->getVaddr(), line);
assert(pkt->senderState);
// pop off the TLB translation state
TheISA::GpuTLB::TranslationState *translation_state
= safe_cast<TheISA::GpuTLB::TranslationState*>(pkt->senderState);
bool success = translation_state->tlbEntry != nullptr;
delete translation_state->tlbEntry;
assert(!translation_state->ports.size());
pkt->senderState = translation_state->saved;
delete translation_state;
// use the original sender state to know how to close this transaction
ITLBPort::SenderState *sender_state =
safe_cast<ITLBPort::SenderState*>(pkt->senderState);
// get the wavefront associated with this translation request
Wavefront *wavefront = sender_state->wavefront;
delete pkt->senderState;
if (success) {
// pkt is reused in fetch(), don't delete it here. However, we must
// reset the command to be a request so that it can be sent through
// the cu's request port
assert(pkt->cmd == MemCmd::ReadResp);
pkt->cmd = MemCmd::ReadReq;
computeUnit->fetchStage.fetch(pkt, wavefront);
} else {
if (wavefront->dropFetch) {
assert(wavefront->instructionBuffer.empty());
wavefront->dropFetch = false;
}
wavefront->pendingFetch = 0;
}
return true;
}
/*
* The initial translation request could have been rejected, if
* <retries> queue is not empty. Retry sending the translation
* request. sendRetry() is called from the peer port whenever
* a translation completes.
*/
void
ComputeUnit::ITLBPort::recvReqRetry()
{
int len = retries.size();
DPRINTF(GPUTLB, "CU%d: ITLB recvReqRetry - %d pending requests\n", len);
assert(len > 0);
assert(isStalled());
// recvReqRetry is an indication that the resource on which this
// port was stalling on is freed. So, remove the stall first
unstallPort();
for (int i = 0; i < len; ++i) {
PacketPtr pkt = retries.front();
Addr vaddr M5_VAR_USED = pkt->req->getVaddr();
DPRINTF(GPUTLB, "CU%d: retrying I-translaton for address%#x", vaddr);
if (!sendTimingReq(pkt)) {
stallPort(); // Stall port
DPRINTF(GPUTLB, ": failed again\n");
break;
} else {
DPRINTF(GPUTLB, ": successful\n");
retries.pop_front();
}
}
}
void
ComputeUnit::regStats()
{
ClockedObject::regStats();
vALUInsts
.name(name() + ".valu_insts")
.desc("Number of vector ALU insts issued.")
;
vALUInstsPerWF
.name(name() + ".valu_insts_per_wf")
.desc("The avg. number of vector ALU insts issued per-wavefront.")
;
sALUInsts
.name(name() + ".salu_insts")
.desc("Number of scalar ALU insts issued.")
;
sALUInstsPerWF
.name(name() + ".salu_insts_per_wf")
.desc("The avg. number of scalar ALU insts issued per-wavefront.")
;
instCyclesVALU
.name(name() + ".inst_cycles_valu")
.desc("Number of cycles needed to execute VALU insts.")
;
instCyclesSALU
.name(name() + ".inst_cycles_salu")
.desc("Number of cycles needed to execute SALU insts.")
;
threadCyclesVALU
.name(name() + ".thread_cycles_valu")
.desc("Number of thread cycles used to execute vector ALU ops. "
"Similar to instCyclesVALU but multiplied by the number of "
"active threads.")
;
vALUUtilization
.name(name() + ".valu_utilization")
.desc("Percentage of active vector ALU threads in a wave.")
;
ldsNoFlatInsts
.name(name() + ".lds_no_flat_insts")
.desc("Number of LDS insts issued, not including FLAT "
"accesses that resolve to LDS.")
;
ldsNoFlatInstsPerWF
.name(name() + ".lds_no_flat_insts_per_wf")
.desc("The avg. number of LDS insts (not including FLAT "
"accesses that resolve to LDS) per-wavefront.")
;
flatVMemInsts
.name(name() + ".flat_vmem_insts")
.desc("The number of FLAT insts that resolve to vmem issued.")
;
flatVMemInstsPerWF
.name(name() + ".flat_vmem_insts_per_wf")
.desc("The average number of FLAT insts that resolve to vmem "
"issued per-wavefront.")
;
flatLDSInsts
.name(name() + ".flat_lds_insts")
.desc("The number of FLAT insts that resolve to LDS issued.")
;
flatLDSInstsPerWF
.name(name() + ".flat_lds_insts_per_wf")
.desc("The average number of FLAT insts that resolve to LDS "
"issued per-wavefront.")
;
vectorMemWrites
.name(name() + ".vector_mem_writes")
.desc("Number of vector mem write insts (excluding FLAT insts).")
;
vectorMemWritesPerWF
.name(name() + ".vector_mem_writes_per_wf")
.desc("The average number of vector mem write insts "
"(excluding FLAT insts) per-wavefront.")
;
vectorMemReads
.name(name() + ".vector_mem_reads")
.desc("Number of vector mem read insts (excluding FLAT insts).")
;
vectorMemReadsPerWF
.name(name() + ".vector_mem_reads_per_wf")
.desc("The avg. number of vector mem read insts (excluding "
"FLAT insts) per-wavefront.")
;
scalarMemWrites
.name(name() + ".scalar_mem_writes")
.desc("Number of scalar mem write insts.")
;
scalarMemWritesPerWF
.name(name() + ".scalar_mem_writes_per_wf")
.desc("The average number of scalar mem write insts per-wavefront.")
;
scalarMemReads
.name(name() + ".scalar_mem_reads")
.desc("Number of scalar mem read insts.")
;
scalarMemReadsPerWF
.name(name() + ".scalar_mem_reads_per_wf")
.desc("The average number of scalar mem read insts per-wavefront.")
;
vALUInstsPerWF = vALUInsts / completedWfs;
sALUInstsPerWF = sALUInsts / completedWfs;
vALUUtilization = (threadCyclesVALU / (64 * instCyclesVALU)) * 100;
ldsNoFlatInstsPerWF = ldsNoFlatInsts / completedWfs;
flatVMemInstsPerWF = flatVMemInsts / completedWfs;
flatLDSInstsPerWF = flatLDSInsts / completedWfs;
vectorMemWritesPerWF = vectorMemWrites / completedWfs;
vectorMemReadsPerWF = vectorMemReads / completedWfs;
scalarMemWritesPerWF = scalarMemWrites / completedWfs;
scalarMemReadsPerWF = scalarMemReads / completedWfs;
vectorMemReadsPerKiloInst
.name(name() + ".vector_mem_reads_per_kilo_inst")
.desc("Number of vector mem reads per kilo-instruction")
;
vectorMemReadsPerKiloInst = (vectorMemReads / numInstrExecuted) * 1000;
vectorMemWritesPerKiloInst
.name(name() + ".vector_mem_writes_per_kilo_inst")
.desc("Number of vector mem writes per kilo-instruction")
;
vectorMemWritesPerKiloInst = (vectorMemWrites / numInstrExecuted) * 1000;
vectorMemInstsPerKiloInst
.name(name() + ".vector_mem_insts_per_kilo_inst")
.desc("Number of vector mem insts per kilo-instruction")
;
vectorMemInstsPerKiloInst =
((vectorMemReads + vectorMemWrites) / numInstrExecuted) * 1000;
scalarMemReadsPerKiloInst
.name(name() + ".scalar_mem_reads_per_kilo_inst")
.desc("Number of scalar mem reads per kilo-instruction")
;
scalarMemReadsPerKiloInst = (scalarMemReads / numInstrExecuted) * 1000;
scalarMemWritesPerKiloInst
.name(name() + ".scalar_mem_writes_per_kilo_inst")
.desc("Number of scalar mem writes per kilo-instruction")
;
scalarMemWritesPerKiloInst = (scalarMemWrites / numInstrExecuted) * 1000;
scalarMemInstsPerKiloInst
.name(name() + ".scalar_mem_insts_per_kilo_inst")
.desc("Number of scalar mem insts per kilo-instruction")
;
scalarMemInstsPerKiloInst =
((scalarMemReads + scalarMemWrites) / numInstrExecuted) * 1000;
instCyclesVMemPerSimd
.init(numVectorALUs)
.name(name() + ".inst_cycles_vector_memory")
.desc("Number of cycles to send address, command, data from VRF to "
"vector memory unit, per SIMD")
;
instCyclesScMemPerSimd
.init(numVectorALUs)
.name(name() + ".inst_cycles_scalar_memory")
.desc("Number of cycles to send address, command, data from SRF to "
"scalar memory unit, per SIMD")
;
instCyclesLdsPerSimd
.init(numVectorALUs)
.name(name() + ".inst_cycles_lds")
.desc("Number of cycles to send address, command, data from VRF to "
"LDS unit, per SIMD")
;
globalReads
.name(name() + ".global_mem_reads")
.desc("Number of reads to the global segment")
;
globalWrites
.name(name() + ".global_mem_writes")
.desc("Number of writes to the global segment")
;
globalMemInsts
.name(name() + ".global_mem_insts")
.desc("Number of memory instructions sent to the global segment")
;
globalMemInsts = globalReads + globalWrites;
argReads
.name(name() + ".arg_reads")
.desc("Number of reads to the arg segment")
;
argWrites
.name(name() + ".arg_writes")
.desc("NUmber of writes to the arg segment")
;
argMemInsts
.name(name() + ".arg_mem_insts")
.desc("Number of memory instructions sent to the arg segment")
;
argMemInsts = argReads + argWrites;
spillReads
.name(name() + ".spill_reads")
.desc("Number of reads to the spill segment")
;
spillWrites
.name(name() + ".spill_writes")
.desc("Number of writes to the spill segment")
;
spillMemInsts
.name(name() + ".spill_mem_insts")
.desc("Number of memory instructions sent to the spill segment")
;
spillMemInsts = spillReads + spillWrites;
groupReads
.name(name() + ".group_reads")
.desc("Number of reads to the group segment")
;
groupWrites
.name(name() + ".group_writes")
.desc("Number of writes to the group segment")
;
groupMemInsts
.name(name() + ".group_mem_insts")
.desc("Number of memory instructions sent to the group segment")
;
groupMemInsts = groupReads + groupWrites;
privReads
.name(name() + ".private_reads")
.desc("Number of reads to the private segment")
;
privWrites
.name(name() + ".private_writes")
.desc("Number of writes to the private segment")
;
privMemInsts
.name(name() + ".private_mem_insts")
.desc("Number of memory instructions sent to the private segment")
;
privMemInsts = privReads + privWrites;
readonlyReads
.name(name() + ".readonly_reads")
.desc("Number of reads to the readonly segment")
;
readonlyWrites
.name(name() + ".readonly_writes")
.desc("Number of memory instructions sent to the readonly segment")
;
readonlyMemInsts
.name(name() + ".readonly_mem_insts")
.desc("Number of memory instructions sent to the readonly segment")
;
readonlyMemInsts = readonlyReads + readonlyWrites;
kernargReads
.name(name() + ".kernarg_reads")
.desc("Number of reads sent to the kernarg segment")
;
kernargWrites
.name(name() + ".kernarg_writes")
.desc("Number of memory instructions sent to the kernarg segment")
;
kernargMemInsts
.name(name() + ".kernarg_mem_insts")
.desc("Number of memory instructions sent to the kernarg segment")
;
kernargMemInsts = kernargReads + kernargWrites;
tlbCycles
.name(name() + ".tlb_cycles")
.desc("total number of cycles for all uncoalesced requests")
;
tlbRequests
.name(name() + ".tlb_requests")
.desc("number of uncoalesced requests")
;
tlbLatency
.name(name() + ".avg_translation_latency")
.desc("Avg. translation latency for data translations")
;
tlbLatency = tlbCycles / tlbRequests;
hitsPerTLBLevel
.init(4)
.name(name() + ".TLB_hits_distribution")
.desc("TLB hits distribution (0 for page table, x for Lx-TLB")
;
// fixed number of TLB levels
for (int i = 0; i < 4; ++i) {
if (!i)
hitsPerTLBLevel.subname(i,"page_table");
else
hitsPerTLBLevel.subname(i, csprintf("L%d_TLB",i));
}
execRateDist
.init(0, 10, 2)
.name(name() + ".inst_exec_rate")
.desc("Instruction Execution Rate: Number of executed vector "
"instructions per cycle")
;
ldsBankConflictDist
.init(0, wfSize(), 2)
.name(name() + ".lds_bank_conflicts")
.desc("Number of bank conflicts per LDS memory packet")
;
ldsBankAccesses
.name(name() + ".lds_bank_access_cnt")
.desc("Total number of LDS bank accesses")
;
pageDivergenceDist
// A wavefront can touch up to N pages per memory instruction where
// N is equal to the wavefront size
// The number of pages per bin can be configured (here it's 4).
.init(1, wfSize(), 4)
.name(name() + ".page_divergence_dist")
.desc("pages touched per wf (over all mem. instr.)")
;
controlFlowDivergenceDist
.init(1, wfSize(), 4)
.name(name() + ".warp_execution_dist")
.desc("number of lanes active per instruction (oval all instructions)")
;
activeLanesPerGMemInstrDist
.init(1, wfSize(), 4)
.name(name() + ".gmem_lanes_execution_dist")
.desc("number of active lanes per global memory instruction")
;
activeLanesPerLMemInstrDist
.init(1, wfSize(), 4)
.name(name() + ".lmem_lanes_execution_dist")
.desc("number of active lanes per local memory instruction")
;
numInstrExecuted
.name(name() + ".num_instr_executed")
.desc("number of instructions executed")
;
numVecOpsExecuted
.name(name() + ".num_vec_ops_executed")
.desc("number of vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedF16
.name(name() + ".num_vec_ops_f16_executed")
.desc("number of f16 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedF32
.name(name() + ".num_vec_ops_f32_executed")
.desc("number of f32 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedF64
.name(name() + ".num_vec_ops_f64_executed")
.desc("number of f64 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedFMA16
.name(name() + ".num_vec_ops_fma16_executed")
.desc("number of fma16 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedFMA32
.name(name() + ".num_vec_ops_fma32_executed")
.desc("number of fma32 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedFMA64
.name(name() + ".num_vec_ops_fma64_executed")
.desc("number of fma64 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedMAD16
.name(name() + ".num_vec_ops_mad16_executed")
.desc("number of mad16 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedMAD32
.name(name() + ".num_vec_ops_mad32_executed")
.desc("number of mad32 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedMAD64
.name(name() + ".num_vec_ops_mad64_executed")
.desc("number of mad64 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedMAC16
.name(name() + ".num_vec_ops_mac16_executed")
.desc("number of mac16 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedMAC32
.name(name() + ".num_vec_ops_mac32_executed")
.desc("number of mac32 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedMAC64
.name(name() + ".num_vec_ops_mac64_executed")
.desc("number of mac64 vec ops executed (e.g. WF size/inst)")
;
numVecOpsExecutedTwoOpFP
.name(name() + ".num_vec_ops_two_op_fp_executed")
.desc("number of two op FP vec ops executed (e.g. WF size/inst)")
;
totalCycles
.name(name() + ".num_total_cycles")
.desc("number of cycles the CU ran for")
;
ipc
.name(name() + ".ipc")
.desc("Instructions per cycle (this CU only)")
;
vpc
.name(name() + ".vpc")
.desc("Vector Operations per cycle (this CU only)")
;
vpc_f16
.name(name() + ".vpc_f16")
.desc("F16 Vector Operations per cycle (this CU only)")
;
vpc_f32
.name(name() + ".vpc_f32")
.desc("F32 Vector Operations per cycle (this CU only)")
;
vpc_f64
.name(name() + ".vpc_f64")
.desc("F64 Vector Operations per cycle (this CU only)")
;
numALUInstsExecuted
.name(name() + ".num_alu_insts_executed")
.desc("Number of dynamic non-GM memory insts executed")
;
wgBlockedDueBarrierAllocation
.name(name() + ".wg_blocked_due_barrier_alloc")
.desc("WG dispatch was blocked due to lack of barrier resources")
;
wgBlockedDueLdsAllocation
.name(name() + ".wg_blocked_due_lds_alloc")
.desc("Workgroup blocked due to LDS capacity")
;
ipc = numInstrExecuted / totalCycles;
vpc = numVecOpsExecuted / totalCycles;
vpc_f16 = numVecOpsExecutedF16 / totalCycles;
vpc_f32 = numVecOpsExecutedF32 / totalCycles;
vpc_f64 = numVecOpsExecutedF64 / totalCycles;
numTimesWgBlockedDueVgprAlloc
.name(name() + ".times_wg_blocked_due_vgpr_alloc")
.desc("Number of times WGs are blocked due to VGPR allocation per "
"SIMD")
;
numTimesWgBlockedDueSgprAlloc
.name(name() + ".times_wg_blocked_due_sgpr_alloc")
.desc("Number of times WGs are blocked due to SGPR allocation per "
"SIMD")
;
dynamicGMemInstrCnt
.name(name() + ".global_mem_instr_cnt")
.desc("dynamic non-flat global memory instruction count")
;
dynamicFlatMemInstrCnt
.name(name() + ".flat_global_mem_instr_cnt")
.desc("dynamic flat global memory instruction count")
;
dynamicLMemInstrCnt
.name(name() + ".local_mem_instr_cnt")
.desc("dynamic local memory intruction count")
;
numALUInstsExecuted = numInstrExecuted - dynamicGMemInstrCnt -
dynamicLMemInstrCnt;
completedWfs
.name(name() + ".num_completed_wfs")
.desc("number of completed wavefronts")
;
completedWGs
.name(name() + ".num_completed_wgs")
.desc("number of completed workgroups")
;
numCASOps
.name(name() + ".num_CAS_ops")
.desc("number of compare and swap operations")
;
numFailedCASOps
.name(name() + ".num_failed_CAS_ops")
.desc("number of compare and swap operations that failed")
;
headTailLatency
.init(0, 1000000, 10000)
.name(name() + ".head_tail_latency")
.desc("ticks between first and last cache block arrival at coalescer")
.flags(Stats::pdf | Stats::oneline)
;
waveLevelParallelism
.init(0, shader->n_wf * numVectorALUs, 1)
.name(name() + ".wlp")
.desc("wave level parallelism: count of active waves at wave launch")
;
instInterleave
.init(numVectorALUs, 0, 20, 1)
.name(name() + ".interleaving")
.desc("Measure of instruction interleaving per SIMD")
;
// register stats of pipeline stages
fetchStage.regStats();
scoreboardCheckStage.regStats();
scheduleStage.regStats();
execStage.regStats();
// register stats of memory pipelines
globalMemoryPipe.regStats();
localMemoryPipe.regStats();
scalarMemoryPipe.regStats();
registerManager->regStats();
}
void
ComputeUnit::updateInstStats(GPUDynInstPtr gpuDynInst)
{
if (gpuDynInst->isScalar()) {
if (gpuDynInst->isALU() && !gpuDynInst->isWaitcnt()) {
sALUInsts++;
instCyclesSALU++;
} else if (gpuDynInst->isLoad()) {
scalarMemReads++;
} else if (gpuDynInst->isStore()) {
scalarMemWrites++;
}
} else {
if (gpuDynInst->isALU()) {
shader->total_valu_insts++;
if (shader->total_valu_insts == shader->max_valu_insts) {
exitSimLoop("max vALU insts");
}
vALUInsts++;
instCyclesVALU++;
threadCyclesVALU += gpuDynInst->wavefront()->execMask().count();
} else if (gpuDynInst->isFlat()) {
if (gpuDynInst->isLocalMem()) {
flatLDSInsts++;
} else {
flatVMemInsts++;
}
} else if (gpuDynInst->isLocalMem()) {
ldsNoFlatInsts++;
} else if (gpuDynInst->isLoad()) {
vectorMemReads++;
} else if (gpuDynInst->isStore()) {
vectorMemWrites++;
}
if (gpuDynInst->isLoad()) {
switch (gpuDynInst->executedAs()) {
case Enums::SC_SPILL:
spillReads++;
break;
case Enums::SC_GLOBAL:
globalReads++;
break;
case Enums::SC_GROUP:
groupReads++;
break;
case Enums::SC_PRIVATE:
privReads++;
break;
case Enums::SC_READONLY:
readonlyReads++;
break;
case Enums::SC_KERNARG:
kernargReads++;
break;
case Enums::SC_ARG:
argReads++;
break;
case Enums::SC_NONE:
/**
* this case can occur for flat mem insts
* who execute with EXEC = 0
*/
break;
default:
fatal("%s has no valid segment\n", gpuDynInst->disassemble());
break;
}
} else if (gpuDynInst->isStore()) {
switch (gpuDynInst->executedAs()) {
case Enums::SC_SPILL:
spillWrites++;
break;
case Enums::SC_GLOBAL:
globalWrites++;
break;
case Enums::SC_GROUP:
groupWrites++;
break;
case Enums::SC_PRIVATE:
privWrites++;
break;
case Enums::SC_READONLY:
readonlyWrites++;
break;
case Enums::SC_KERNARG:
kernargWrites++;
break;
case Enums::SC_ARG:
argWrites++;
break;
case Enums::SC_NONE:
/**
* this case can occur for flat mem insts
* who execute with EXEC = 0
*/
break;
default:
fatal("%s has no valid segment\n", gpuDynInst->disassemble());
break;
}
}
}
}
void
ComputeUnit::updatePageDivergenceDist(Addr addr)
{
Addr virt_page_addr = roundDown(addr, TheISA::PageBytes);
if (!pagesTouched.count(virt_page_addr))
pagesTouched[virt_page_addr] = 1;
else
pagesTouched[virt_page_addr]++;
}
void
ComputeUnit::exitCallback()
{
if (countPages) {
std::ostream *page_stat_file = simout.create(name().c_str())->stream();
*page_stat_file << "page, wavefront accesses, workitem accesses" <<
std::endl;
for (auto iter : pageAccesses) {
*page_stat_file << std::hex << iter.first << ",";
*page_stat_file << std::dec << iter.second.first << ",";
*page_stat_file << std::dec << iter.second.second << std::endl;
}
}
}
bool
ComputeUnit::isDone() const
{
for (int i = 0; i < numVectorALUs; ++i) {
if (!isVectorAluIdle(i)) {
return false;
}
}
// TODO: FIXME if more than 1 of any memory pipe supported
if (!srfToScalarMemPipeBus.rdy()) {
return false;
}
if (!vrfToGlobalMemPipeBus.rdy()) {
return false;
}
if (!vrfToLocalMemPipeBus.rdy()) {
return false;
}
if (!globalMemoryPipe.isGMReqFIFOWrRdy()
|| !localMemoryPipe.isLMReqFIFOWrRdy()
|| !localMemoryPipe.isLMRespFIFOWrRdy() || !locMemToVrfBus.rdy() ||
!glbMemToVrfBus.rdy() || !scalarMemToSrfBus.rdy()) {
return false;
}
return true;
}
int32_t
ComputeUnit::getRefCounter(const uint32_t dispatchId,
const uint32_t wgId) const
{
return lds.getRefCounter(dispatchId, wgId);
}
bool
ComputeUnit::isVectorAluIdle(uint32_t simdId) const
{
assert(simdId < numVectorALUs);
for (int i_wf = 0; i_wf < shader->n_wf; ++i_wf){
if (wfList[simdId][i_wf]->getStatus() != Wavefront::S_STOPPED) {
return false;
}
}
return true;
}
/**
* send a general request to the LDS
* make sure to look at the return value here as your request might be
* NACK'd and returning false means that you have to have some backup plan
*/
bool
ComputeUnit::sendToLds(GPUDynInstPtr gpuDynInst)
{
// this is just a request to carry the GPUDynInstPtr
// back and forth
RequestPtr newRequest = std::make_shared<Request>();
newRequest->setPaddr(0x0);
// ReadReq is not evaluted by the LDS but the Packet ctor requires this
PacketPtr newPacket = new Packet(newRequest, MemCmd::ReadReq);
// This is the SenderState needed upon return
newPacket->senderState = new LDSPort::SenderState(gpuDynInst);
return ldsPort.sendTimingReq(newPacket);
}
/**
* get the result of packets sent to the LDS when they return
*/
bool
ComputeUnit::LDSPort::recvTimingResp(PacketPtr packet)
{
const ComputeUnit::LDSPort::SenderState *senderState =
dynamic_cast<ComputeUnit::LDSPort::SenderState *>(packet->senderState);
fatal_if(!senderState, "did not get the right sort of sender state");
GPUDynInstPtr gpuDynInst = senderState->getMemInst();
delete packet->senderState;
delete packet;
computeUnit->localMemoryPipe.getLMRespFIFO().push(gpuDynInst);
return true;
}
/**
* attempt to send this packet, either the port is already stalled, the request
* is nack'd and must stall or the request goes through
* when a request cannot be sent, add it to the retries queue
*/
bool
ComputeUnit::LDSPort::sendTimingReq(PacketPtr pkt)
{
ComputeUnit::LDSPort::SenderState *sender_state =
dynamic_cast<ComputeUnit::LDSPort::SenderState*>(pkt->senderState);
fatal_if(!sender_state, "packet without a valid sender state");
GPUDynInstPtr gpuDynInst M5_VAR_USED = sender_state->getMemInst();
if (isStalled()) {
fatal_if(retries.empty(), "must have retries waiting to be stalled");
retries.push(pkt);
DPRINTF(GPUPort, "CU%d: WF[%d][%d]: LDS send failed!\n",
computeUnit->cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId);
return false;
} else if (!RequestPort::sendTimingReq(pkt)) {
// need to stall the LDS port until a recvReqRetry() is received
// this indicates that there is more space
stallPort();
retries.push(pkt);
DPRINTF(GPUPort, "CU%d: WF[%d][%d]: addr %#x lds req failed!\n",
computeUnit->cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, pkt->req->getPaddr());
return false;
} else {
DPRINTF(GPUPort, "CU%d: WF[%d][%d]: addr %#x lds req sent!\n",
computeUnit->cu_id, gpuDynInst->simdId,
gpuDynInst->wfSlotId, pkt->req->getPaddr());
return true;
}
}
/**
* the bus is telling the port that there is now space so retrying stalled
* requests should work now
* this allows the port to have a request be nack'd and then have the receiver
* say when there is space, rather than simply retrying the send every cycle
*/
void
ComputeUnit::LDSPort::recvReqRetry()
{
auto queueSize = retries.size();
DPRINTF(GPUPort, "CU%d: LDSPort recvReqRetry - %d pending requests\n",
computeUnit->cu_id, queueSize);
fatal_if(queueSize < 1,
"why was there a recvReqRetry() with no pending reqs?");
fatal_if(!isStalled(),
"recvReqRetry() happened when the port was not stalled");
unstallPort();
while (!retries.empty()) {
PacketPtr packet = retries.front();
DPRINTF(GPUPort, "CU%d: retrying LDS send\n", computeUnit->cu_id);
if (!RequestPort::sendTimingReq(packet)) {
// Stall port
stallPort();
DPRINTF(GPUPort, ": LDS send failed again\n");
break;
} else {
DPRINTF(GPUTLB, ": LDS send successful\n");
retries.pop();
}
}
}