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/*
* 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/shader.hh"
#include <limits>
#include "base/chunk_generator.hh"
#include "debug/GPUAgentDisp.hh"
#include "debug/GPUDisp.hh"
#include "debug/GPUMem.hh"
#include "debug/GPUShader.hh"
#include "debug/GPUWgLatency.hh"
#include "gpu-compute/dispatcher.hh"
#include "gpu-compute/gpu_command_processor.hh"
#include "gpu-compute/gpu_static_inst.hh"
#include "gpu-compute/hsa_queue_entry.hh"
#include "gpu-compute/wavefront.hh"
#include "mem/packet.hh"
#include "mem/ruby/system/RubySystem.hh"
#include "sim/sim_exit.hh"
namespace gem5
{
Shader::Shader(const Params &p) : ClockedObject(p),
_activeCus(0), _lastInactiveTick(0), cpuThread(nullptr),
gpuTc(nullptr), cpuPointer(p.cpu_pointer),
tickEvent([this]{ execScheduledAdds(); }, "Shader scheduled adds event",
false, Event::CPU_Tick_Pri),
timingSim(p.timing), hsail_mode(SIMT),
impl_kern_launch_acq(p.impl_kern_launch_acq),
impl_kern_end_rel(p.impl_kern_end_rel),
coissue_return(1),
trace_vgpr_all(1), n_cu((p.CUs).size()), n_wf(p.n_wf),
globalMemSize(p.globalmem),
nextSchedCu(0), sa_n(0), gpuCmdProc(*p.gpu_cmd_proc),
_dispatcher(*p.dispatcher),
max_valu_insts(p.max_valu_insts), total_valu_insts(0),
stats(this, p.CUs[0]->wfSize())
{
gpuCmdProc.setShader(this);
_dispatcher.setShader(this);
_gpuVmApe.base = ((Addr)1 << 61) + 0x1000000000000L;
_gpuVmApe.limit = (_gpuVmApe.base & 0xFFFFFF0000000000UL) | 0xFFFFFFFFFFL;
_ldsApe.base = ((Addr)1 << 61) + 0x0;
_ldsApe.limit = (_ldsApe.base & 0xFFFFFFFF00000000UL) | 0xFFFFFFFF;
_scratchApe.base = ((Addr)1 << 61) + 0x100000000L;
_scratchApe.limit = (_scratchApe.base & 0xFFFFFFFF00000000UL) | 0xFFFFFFFF;
shHiddenPrivateBaseVmid = 0;
cuList.resize(n_cu);
panic_if(n_wf <= 0, "Must have at least 1 WF Slot per SIMD");
for (int i = 0; i < n_cu; ++i) {
cuList[i] = p.CUs[i];
assert(i == cuList[i]->cu_id);
cuList[i]->shader = this;
cuList[i]->idleCUTimeout = p.idlecu_timeout;
}
}
GPUDispatcher&
Shader::dispatcher()
{
return _dispatcher;
}
Addr
Shader::mmap(int length)
{
Addr start;
// round up length to the next page
length = roundUp(length, X86ISA::PageBytes);
Process *proc = gpuTc->getProcessPtr();
auto mem_state = proc->memState;
if (proc->mmapGrowsDown()) {
DPRINTF(GPUShader, "GROWS DOWN");
start = mem_state->getMmapEnd() - length;
mem_state->setMmapEnd(start);
} else {
DPRINTF(GPUShader, "GROWS UP");
start = mem_state->getMmapEnd();
mem_state->setMmapEnd(start + length);
// assertion to make sure we don't overwrite the stack (it grows down)
assert(mem_state->getStackBase() - mem_state->getMaxStackSize() >
mem_state->getMmapEnd());
}
DPRINTF(GPUShader, "Shader::mmap start= %#x, %#x\n", start, length);
proc->allocateMem(start, length);
return start;
}
void
Shader::init()
{
// grab the threadContext of the thread running on the CPU
assert(cpuPointer);
gpuTc = cpuPointer->getContext(0);
assert(gpuTc);
}
Shader::~Shader()
{
for (int j = 0; j < n_cu; ++j)
delete cuList[j];
}
void
Shader::updateContext(int cid) {
// context of the thread which dispatched work
assert(cpuPointer);
gpuTc = cpuPointer->getContext(cid);
assert(gpuTc);
}
void
Shader::execScheduledAdds()
{
assert(!sa_when.empty());
// apply any scheduled adds
for (int i = 0; i < sa_n; ++i) {
if (sa_when[i] <= curTick()) {
*sa_val[i] += sa_x[i];
panic_if(*sa_val[i] < 0, "Negative counter value\n");
sa_val.erase(sa_val.begin() + i);
sa_x.erase(sa_x.begin() + i);
sa_when.erase(sa_when.begin() + i);
--sa_n;
--i;
}
}
if (!sa_when.empty()) {
Tick shader_wakeup = *std::max_element(sa_when.begin(),
sa_when.end());
DPRINTF(GPUDisp, "Scheduling shader wakeup at %lu\n", shader_wakeup);
schedule(tickEvent, shader_wakeup);
} else {
DPRINTF(GPUDisp, "sa_when empty, shader going to sleep!\n");
}
}
/*
* dispatcher/shader arranges invalidate requests to the CUs
*/
void
Shader::prepareInvalidate(HSAQueueEntry *task) {
// if invalidate has already started/finished, then do nothing
if (task->isInvStarted()) return;
// invalidate has never started; it can only perform once at kernel launch
assert(task->outstandingInvs() == -1);
int kernId = task->dispatchId();
// counter value is 0 now, indicating the inv is about to start
_dispatcher.updateInvCounter(kernId, +1);
// iterate all cus managed by the shader, to perform invalidate.
for (int i_cu = 0; i_cu < n_cu; ++i_cu) {
// create a request to hold INV info; the request's fields will
// be updated in cu before use
auto req = std::make_shared<Request>(0, 0, 0,
cuList[i_cu]->requestorId(),
0, -1);
_dispatcher.updateInvCounter(kernId, +1);
// all necessary INV flags are all set now, call cu to execute
cuList[i_cu]->doInvalidate(req, task->dispatchId());
// I don't like this. This is intrusive coding.
cuList[i_cu]->resetRegisterPool();
}
}
/**
* dispatcher/shader arranges flush requests to the CUs
*/
void
Shader::prepareFlush(GPUDynInstPtr gpuDynInst){
int kernId = gpuDynInst->kern_id;
// flush has never been started, performed only once at kernel end
assert(_dispatcher.getOutstandingWbs(kernId) == 0);
// the first cu, managed by the shader, performs flush operation,
// assuming that L2 cache is shared by all cus in the shader
int i_cu = 0;
_dispatcher.updateWbCounter(kernId, +1);
cuList[i_cu]->doFlush(gpuDynInst);
}
bool
Shader::dispatchWorkgroups(HSAQueueEntry *task)
{
bool scheduledSomething = false;
int cuCount = 0;
int curCu = nextSchedCu;
int disp_count(0);
while (cuCount < n_cu) {
//Every time we try a CU, update nextSchedCu
nextSchedCu = (nextSchedCu + 1) % n_cu;
// dispatch workgroup iff the following two conditions are met:
// (a) wg_rem is true - there are unassigned workgroups in the grid
// (b) there are enough free slots in cu cuList[i] for this wg
int num_wfs_in_wg = 0;
bool can_disp = cuList[curCu]->hasDispResources(task, num_wfs_in_wg);
if (!task->dispComplete() && can_disp) {
scheduledSomething = true;
DPRINTF(GPUDisp, "Dispatching a workgroup to CU %d: WG %d\n",
curCu, task->globalWgId());
DPRINTF(GPUAgentDisp, "Dispatching a workgroup to CU %d: WG %d\n",
curCu, task->globalWgId());
DPRINTF(GPUWgLatency, "WG Begin cycle:%d wg:%d cu:%d\n",
curTick(), task->globalWgId(), curCu);
if (!cuList[curCu]->tickEvent.scheduled()) {
if (!_activeCus)
_lastInactiveTick = curTick();
_activeCus++;
}
panic_if(_activeCus <= 0 || _activeCus > cuList.size(),
"Invalid activeCu size\n");
cuList[curCu]->dispWorkgroup(task, num_wfs_in_wg);
task->markWgDispatch();
++disp_count;
}
++cuCount;
curCu = nextSchedCu;
}
DPRINTF(GPUWgLatency, "Shader Dispatched %d Wgs\n", disp_count);
return scheduledSomething;
}
void
Shader::doFunctionalAccess(const RequestPtr &req, MemCmd cmd, void *data,
bool suppress_func_errors, int cu_id)
{
int block_size = cuList.at(cu_id)->cacheLineSize();
unsigned size = req->getSize();
Addr tmp_addr;
BaseMMU::Mode trans_mode;
if (cmd == MemCmd::ReadReq) {
trans_mode = BaseMMU::Read;
} else if (cmd == MemCmd::WriteReq) {
trans_mode = BaseMMU::Write;
} else {
fatal("unexcepted MemCmd\n");
}
tmp_addr = req->getVaddr();
Addr split_addr = roundDown(tmp_addr + size - 1, block_size);
assert(split_addr <= tmp_addr || split_addr - tmp_addr < block_size);
// Misaligned access
if (split_addr > tmp_addr) {
RequestPtr req1, req2;
req->splitOnVaddr(split_addr, req1, req2);
PacketPtr pkt1 = new Packet(req2, cmd);
PacketPtr pkt2 = new Packet(req1, cmd);
functionalTLBAccess(pkt1, cu_id, trans_mode);
functionalTLBAccess(pkt2, cu_id, trans_mode);
PacketPtr new_pkt1 = new Packet(pkt1->req, cmd);
PacketPtr new_pkt2 = new Packet(pkt2->req, cmd);
new_pkt1->dataStatic(data);
new_pkt2->dataStatic((uint8_t*)data + req1->getSize());
if (suppress_func_errors) {
new_pkt1->setSuppressFuncError();
new_pkt2->setSuppressFuncError();
}
// fixme: this should be cuList[cu_id] if cu_id != n_cu
// The latter requires a memPort in the dispatcher
cuList[0]->memPort[0].sendFunctional(new_pkt1);
cuList[0]->memPort[0].sendFunctional(new_pkt2);
delete new_pkt1;
delete new_pkt2;
delete pkt1;
delete pkt2;
} else {
PacketPtr pkt = new Packet(req, cmd);
functionalTLBAccess(pkt, cu_id, trans_mode);
PacketPtr new_pkt = new Packet(pkt->req, cmd);
new_pkt->dataStatic(data);
if (suppress_func_errors) {
new_pkt->setSuppressFuncError();
};
// fixme: this should be cuList[cu_id] if cu_id != n_cu
// The latter requires a memPort in the dispatcher
cuList[0]->memPort[0].sendFunctional(new_pkt);
delete new_pkt;
delete pkt;
}
}
void
Shader::ScheduleAdd(int *val,Tick when,int x)
{
sa_val.push_back(val);
when += curTick();
sa_when.push_back(when);
sa_x.push_back(x);
++sa_n;
if (!tickEvent.scheduled() || (when < tickEvent.when())) {
DPRINTF(GPUDisp, "New scheduled add; scheduling shader wakeup at "
"%lu\n", when);
reschedule(tickEvent, when, true);
} else {
assert(tickEvent.scheduled());
DPRINTF(GPUDisp, "New scheduled add; wakeup already scheduled at "
"%lu\n", when);
}
}
void
Shader::AccessMem(uint64_t address, void *ptr, uint32_t size, int cu_id,
MemCmd cmd, bool suppress_func_errors)
{
uint8_t *data_buf = (uint8_t*)ptr;
for (ChunkGenerator gen(address, size, cuList.at(cu_id)->cacheLineSize());
!gen.done(); gen.next()) {
RequestPtr req = std::make_shared<Request>(
gen.addr(), gen.size(), 0,
cuList[0]->requestorId(), 0, 0, nullptr);
doFunctionalAccess(req, cmd, data_buf, suppress_func_errors, cu_id);
data_buf += gen.size();
}
}
void
Shader::ReadMem(uint64_t address, void *ptr, uint32_t size, int cu_id)
{
AccessMem(address, ptr, size, cu_id, MemCmd::ReadReq, false);
}
void
Shader::ReadMem(uint64_t address, void *ptr, uint32_t size, int cu_id,
bool suppress_func_errors)
{
AccessMem(address, ptr, size, cu_id, MemCmd::ReadReq,
suppress_func_errors);
}
void
Shader::WriteMem(uint64_t address, void *ptr,uint32_t size, int cu_id)
{
AccessMem(address, ptr, size, cu_id, MemCmd::WriteReq, false);
}
void
Shader::WriteMem(uint64_t address, void *ptr, uint32_t size, int cu_id,
bool suppress_func_errors)
{
AccessMem(address, ptr, size, cu_id, MemCmd::WriteReq,
suppress_func_errors);
}
/*
* Send a packet through the appropriate TLB functional port.
* If cu_id=n_cu, then this is the dispatcher's TLB.
* Otherwise it's the TLB of the cu_id compute unit.
*/
void
Shader::functionalTLBAccess(PacketPtr pkt, int cu_id, BaseMMU::Mode mode)
{
// update senderState. Need to know the gpuTc and the TLB mode
pkt->senderState =
new GpuTranslationState(mode, gpuTc, false);
// even when the perLaneTLB flag is turned on
// it's ok tp send all accesses through lane 0
// since the lane # is not known here,
// This isn't important since these are functional accesses.
cuList[cu_id]->tlbPort[0].sendFunctional(pkt);
/* safe_cast the senderState */
GpuTranslationState *sender_state =
safe_cast<GpuTranslationState*>(pkt->senderState);
delete sender_state->tlbEntry;
delete pkt->senderState;
}
/*
* allow the shader to sample stats from constituent devices
*/
void
Shader::sampleStore(const Tick accessTime)
{
stats.storeLatencyDist.sample(accessTime);
stats.allLatencyDist.sample(accessTime);
}
/*
* allow the shader to sample stats from constituent devices
*/
void
Shader::sampleLoad(const Tick accessTime)
{
stats.loadLatencyDist.sample(accessTime);
stats.allLatencyDist.sample(accessTime);
}
void
Shader::sampleInstRoundTrip(std::vector<Tick> roundTripTime)
{
// Only sample instructions that go all the way to main memory
if (roundTripTime.size() != InstMemoryHop::InstMemoryHopMax) {
return;
}
Tick t1 = roundTripTime[0];
Tick t2 = roundTripTime[1];
Tick t3 = roundTripTime[2];
Tick t4 = roundTripTime[3];
Tick t5 = roundTripTime[4];
stats.initToCoalesceLatency.sample(t2-t1);
stats.rubyNetworkLatency.sample(t3-t2);
stats.gmEnqueueLatency.sample(t4-t3);
stats.gmToCompleteLatency.sample(t5-t4);
}
void
Shader::sampleLineRoundTrip(const std::map<Addr, std::vector<Tick>>& lineMap)
{
stats.coalsrLineAddresses.sample(lineMap.size());
std::vector<Tick> netTimes;
// For each cache block address generated by a vmem inst, calculate
// the round-trip time for that cache block.
for (auto& it : lineMap) {
const std::vector<Tick>& timeVec = it.second;
if (timeVec.size() == 2) {
netTimes.push_back(timeVec[1] - timeVec[0]);
}
}
// Sort the cache block round trip times so that the first
// distrubtion is always measuring the fastests and the last
// distrubtion is always measuring the slowest cache block.
std::sort(netTimes.begin(), netTimes.end());
// Sample the round trip time for each N cache blocks into the
// Nth distribution.
int idx = 0;
for (auto& time : netTimes) {
stats.cacheBlockRoundTrip[idx].sample(time);
++idx;
}
}
void
Shader::notifyCuSleep() {
// If all CUs attached to his shader are asleep, update shaderActiveTicks
panic_if(_activeCus <= 0 || _activeCus > cuList.size(),
"Invalid activeCu size\n");
_activeCus--;
if (!_activeCus)
stats.shaderActiveTicks += curTick() - _lastInactiveTick;
}
Shader::ShaderStats::ShaderStats(statistics::Group *parent, int wf_size)
: statistics::Group(parent),
ADD_STAT(allLatencyDist, "delay distribution for all"),
ADD_STAT(loadLatencyDist, "delay distribution for loads"),
ADD_STAT(storeLatencyDist, "delay distribution for stores"),
ADD_STAT(initToCoalesceLatency,
"Ticks from vmem inst initiateAcc to coalescer issue"),
ADD_STAT(rubyNetworkLatency,
"Ticks from coalescer issue to coalescer hit callback"),
ADD_STAT(gmEnqueueLatency,
"Ticks from coalescer hit callback to GM pipe enqueue"),
ADD_STAT(gmToCompleteLatency,
"Ticks queued in GM pipes ordered response buffer"),
ADD_STAT(coalsrLineAddresses,
"Number of cache lines for coalesced request"),
ADD_STAT(shaderActiveTicks,
"Total ticks that any CU attached to this shader is active"),
ADD_STAT(vectorInstSrcOperand,
"vector instruction source operand distribution"),
ADD_STAT(vectorInstDstOperand,
"vector instruction destination operand distribution")
{
allLatencyDist
.init(0, 1600000, 10000)
.flags(statistics::pdf | statistics::oneline);
loadLatencyDist
.init(0, 1600000, 10000)
.flags(statistics::pdf | statistics::oneline);
storeLatencyDist
.init(0, 1600000, 10000)
.flags(statistics::pdf | statistics::oneline);
initToCoalesceLatency
.init(0, 1600000, 10000)
.flags(statistics::pdf | statistics::oneline);
rubyNetworkLatency
.init(0, 1600000, 10000)
.flags(statistics::pdf | statistics::oneline);
gmEnqueueLatency
.init(0, 1600000, 10000)
.flags(statistics::pdf | statistics::oneline);
gmToCompleteLatency
.init(0, 1600000, 10000)
.flags(statistics::pdf | statistics::oneline);
coalsrLineAddresses
.init(0, 20, 1)
.flags(statistics::pdf | statistics::oneline);
vectorInstSrcOperand.init(4);
vectorInstDstOperand.init(4);
cacheBlockRoundTrip = new statistics::Distribution[wf_size];
for (int idx = 0; idx < wf_size; ++idx) {
std::stringstream namestr;
ccprintf(namestr, "%s.cacheBlockRoundTrip%d",
static_cast<Shader*>(parent)->name(), idx);
cacheBlockRoundTrip[idx]
.init(0, 1600000, 10000)
.name(namestr.str())
.desc("Coalsr-to-coalsr time for the Nth cache block in an inst")
.flags(statistics::pdf | statistics::oneline);
}
}
} // namespace gem5