| /* |
| * Copyright (c) 2011-2015 Advanced Micro Devices, Inc. |
| * All rights reserved. |
| * |
| * 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. |
| */ |
| |
| #ifndef __COMPUTE_UNIT_HH__ |
| #define __COMPUTE_UNIT_HH__ |
| |
| #include <deque> |
| #include <map> |
| #include <unordered_set> |
| #include <vector> |
| |
| #include "base/callback.hh" |
| #include "base/compiler.hh" |
| #include "base/statistics.hh" |
| #include "base/stats/group.hh" |
| #include "base/types.hh" |
| #include "config/the_gpu_isa.hh" |
| #include "enums/PrefetchType.hh" |
| #include "gpu-compute/comm.hh" |
| #include "gpu-compute/exec_stage.hh" |
| #include "gpu-compute/fetch_stage.hh" |
| #include "gpu-compute/global_memory_pipeline.hh" |
| #include "gpu-compute/hsa_queue_entry.hh" |
| #include "gpu-compute/local_memory_pipeline.hh" |
| #include "gpu-compute/register_manager.hh" |
| #include "gpu-compute/scalar_memory_pipeline.hh" |
| #include "gpu-compute/schedule_stage.hh" |
| #include "gpu-compute/scoreboard_check_stage.hh" |
| #include "mem/port.hh" |
| #include "mem/token_port.hh" |
| #include "sim/clocked_object.hh" |
| |
| namespace gem5 |
| { |
| |
| class HSAQueueEntry; |
| class LdsChunk; |
| class ScalarRegisterFile; |
| class Shader; |
| class VectorRegisterFile; |
| |
| struct ComputeUnitParams; |
| |
| enum EXEC_POLICY |
| { |
| OLDEST = 0, |
| RR |
| }; |
| |
| enum TLB_CACHE |
| { |
| TLB_MISS_CACHE_MISS = 0, |
| TLB_MISS_CACHE_HIT, |
| TLB_HIT_CACHE_MISS, |
| TLB_HIT_CACHE_HIT |
| }; |
| |
| /** |
| * WF barrier slots. This represents the barrier resource for |
| * WF-level barriers (i.e., barriers to sync WFs within a WG). |
| */ |
| class WFBarrier |
| { |
| public: |
| WFBarrier() : _numAtBarrier(0), _maxBarrierCnt(0) |
| { |
| } |
| |
| static const int InvalidID = -1; |
| |
| int |
| numAtBarrier() const |
| { |
| return _numAtBarrier; |
| } |
| |
| /** |
| * Number of WFs that have not yet reached the barrier. |
| */ |
| int |
| numYetToReachBarrier() const |
| { |
| return _maxBarrierCnt - _numAtBarrier; |
| } |
| |
| int |
| maxBarrierCnt() const |
| { |
| return _maxBarrierCnt; |
| } |
| |
| /** |
| * Set the maximum barrier count (i.e., the number of WFs that are |
| * participating in the barrier). |
| */ |
| void |
| setMaxBarrierCnt(int max_barrier_cnt) |
| { |
| _maxBarrierCnt = max_barrier_cnt; |
| } |
| |
| /** |
| * Mark that a WF has reached the barrier. |
| */ |
| void |
| incNumAtBarrier() |
| { |
| assert(_numAtBarrier < _maxBarrierCnt); |
| ++_numAtBarrier; |
| } |
| |
| /** |
| * Have all WFs participating in this barrier reached the barrier? |
| * If so, then the barrier is satisfied and WFs may proceed past |
| * the barrier. |
| */ |
| bool |
| allAtBarrier() const |
| { |
| return _numAtBarrier == _maxBarrierCnt; |
| } |
| |
| /** |
| * Decrement the number of WFs that are participating in this barrier. |
| * This should be called when a WF exits. |
| */ |
| void |
| decMaxBarrierCnt() |
| { |
| assert(_maxBarrierCnt > 0); |
| --_maxBarrierCnt; |
| } |
| |
| /** |
| * Release this barrier resource so it can be used by other WGs. This |
| * is generally called when a WG has finished. |
| */ |
| void |
| release() |
| { |
| _numAtBarrier = 0; |
| _maxBarrierCnt = 0; |
| } |
| |
| /** |
| * Reset the barrier. This is used to reset the barrier, usually when |
| * a dynamic instance of a barrier has been satisfied. |
| */ |
| void |
| reset() |
| { |
| _numAtBarrier = 0; |
| } |
| |
| private: |
| /** |
| * The number of WFs in the WG that have reached the barrier. Once |
| * the number of WFs that reach a barrier matches the number of WFs |
| * in the WG, the barrier is satisfied. |
| */ |
| int _numAtBarrier; |
| |
| /** |
| * The maximum number of WFs that can reach this barrier. This is |
| * essentially the number of WFs in the WG, and a barrier is satisfied |
| * when the number of WFs that reach the barrier equal this value. If |
| * a WF exits early it must decrement this value so that it is no |
| * longer considered for this barrier. |
| */ |
| int _maxBarrierCnt; |
| }; |
| |
| class ComputeUnit : public ClockedObject |
| { |
| public: |
| |
| |
| // Execution resources |
| // |
| // The ordering of units is: |
| // Vector ALUs |
| // Scalar ALUs |
| // GM Pipe |
| // LM Pipe |
| // Scalar Mem Pipe |
| // |
| // Note: the ordering of units is important and the code assumes the |
| // above ordering. However, there may be more than one resource of |
| // each type (e.g., 4 VALUs or 2 SALUs) |
| |
| int numVectorGlobalMemUnits; |
| // Resource control for global memory to VRF data/address bus |
| WaitClass glbMemToVrfBus; |
| // Resource control for Vector Register File->Global Memory pipe buses |
| WaitClass vrfToGlobalMemPipeBus; |
| // Resource control for Vector Global Memory execution unit |
| WaitClass vectorGlobalMemUnit; |
| |
| int numVectorSharedMemUnits; |
| // Resource control for local memory to VRF data/address bus |
| WaitClass locMemToVrfBus; |
| // Resource control for Vector Register File->Local Memory pipe buses |
| WaitClass vrfToLocalMemPipeBus; |
| // Resource control for Vector Shared/Local Memory execution unit |
| WaitClass vectorSharedMemUnit; |
| |
| int numScalarMemUnits; |
| // Resource control for scalar memory to SRF data/address bus |
| WaitClass scalarMemToSrfBus; |
| // Resource control for Scalar Register File->Scalar Memory pipe buses |
| WaitClass srfToScalarMemPipeBus; |
| // Resource control for Scalar Memory execution unit |
| WaitClass scalarMemUnit; |
| |
| // vector ALU execution resources |
| int numVectorALUs; |
| std::vector<WaitClass> vectorALUs; |
| |
| // scalar ALU execution resources |
| int numScalarALUs; |
| std::vector<WaitClass> scalarALUs; |
| |
| // Return total number of execution units on this CU |
| int numExeUnits() const; |
| // index into readyList of the first memory unit |
| int firstMemUnit() const; |
| // index into readyList of the last memory unit |
| int lastMemUnit() const; |
| // index into scalarALUs vector of SALU used by the wavefront |
| int mapWaveToScalarAlu(Wavefront *w) const; |
| // index into readyList of SALU used by wavefront |
| int mapWaveToScalarAluGlobalIdx(Wavefront *w) const; |
| // index into readyList of Global Memory unit used by wavefront |
| int mapWaveToGlobalMem(Wavefront *w) const; |
| // index into readyList of Local Memory unit used by wavefront |
| int mapWaveToLocalMem(Wavefront *w) const; |
| // index into readyList of Scalar Memory unit used by wavefront |
| int mapWaveToScalarMem(Wavefront *w) const; |
| |
| int vrfToCoalescerBusWidth; // VRF->Coalescer data bus width in bytes |
| int coalescerToVrfBusWidth; // Coalescer->VRF data bus width in bytes |
| int numCyclesPerStoreTransfer; // number of cycles per vector store |
| int numCyclesPerLoadTransfer; // number of cycles per vector load |
| |
| // track presence of dynamic instructions in the Schedule pipeline |
| // stage. This is used to check the readiness of the oldest, |
| // non-dispatched instruction of every WF in the Scoreboard stage. |
| std::unordered_set<uint64_t> pipeMap; |
| |
| RegisterManager* registerManager; |
| |
| FetchStage fetchStage; |
| ScoreboardCheckStage scoreboardCheckStage; |
| ScheduleStage scheduleStage; |
| ExecStage execStage; |
| GlobalMemPipeline globalMemoryPipe; |
| LocalMemPipeline localMemoryPipe; |
| ScalarMemPipeline scalarMemoryPipe; |
| |
| EventFunctionWrapper tickEvent; |
| |
| typedef ComputeUnitParams Params; |
| std::vector<std::vector<Wavefront*>> wfList; |
| int cu_id; |
| |
| // array of vector register files, one per SIMD |
| std::vector<VectorRegisterFile*> vrf; |
| // array of scalar register files, one per SIMD |
| std::vector<ScalarRegisterFile*> srf; |
| |
| // Width per VALU/SIMD unit: number of work items that can be executed |
| // on the vector ALU simultaneously in a SIMD unit |
| int simdWidth; |
| // number of pipe stages for bypassing data to next dependent single |
| // precision vector instruction inside the vector ALU pipeline |
| int spBypassPipeLength; |
| // number of pipe stages for bypassing data to next dependent double |
| // precision vector instruction inside the vector ALU pipeline |
| int dpBypassPipeLength; |
| // number of pipe stages for scalar ALU |
| int scalarPipeStages; |
| // number of pipe stages for operand collection & distribution network |
| int operandNetworkLength; |
| // number of cycles per instruction issue period |
| Cycles issuePeriod; |
| |
| // VRF to GM Bus latency |
| Cycles vrf_gm_bus_latency; |
| // SRF to Scalar Mem Bus latency |
| Cycles srf_scm_bus_latency; |
| // VRF to LM Bus latency |
| Cycles vrf_lm_bus_latency; |
| |
| // tracks the last cycle a vector instruction was executed on a SIMD |
| std::vector<uint64_t> lastExecCycle; |
| |
| // tracks the number of dyn inst executed per SIMD |
| std::vector<uint64_t> instExecPerSimd; |
| |
| // true if we allow a separate TLB per lane |
| bool perLaneTLB; |
| // if 0, TLB prefetching is off. |
| int prefetchDepth; |
| // if fixed-stride prefetching, this is the stride. |
| int prefetchStride; |
| |
| std::vector<Addr> lastVaddrCU; |
| std::vector<std::vector<Addr>> lastVaddrSimd; |
| std::vector<std::vector<std::vector<Addr>>> lastVaddrWF; |
| enums::PrefetchType prefetchType; |
| EXEC_POLICY exec_policy; |
| |
| bool debugSegFault; |
| // Idle CU timeout in ticks |
| Tick idleCUTimeout; |
| int idleWfs; |
| bool functionalTLB; |
| bool localMemBarrier; |
| |
| /* |
| * for Counting page accesses |
| */ |
| bool countPages; |
| |
| Shader *shader; |
| |
| Tick req_tick_latency; |
| Tick resp_tick_latency; |
| |
| /** |
| * Number of WFs to schedule to each SIMD. This vector is populated |
| * by hasDispResources(), and consumed by the subsequent call to |
| * dispWorkgroup(), to schedule the specified number of WFs to the |
| * SIMD units. Entry I provides the number of WFs to schedule to SIMD I. |
| */ |
| std::vector<int> numWfsToSched; |
| |
| // number of currently reserved vector registers per SIMD unit |
| std::vector<int> vectorRegsReserved; |
| // number of currently reserved scalar registers per SIMD unit |
| std::vector<int> scalarRegsReserved; |
| // number of vector registers per SIMD unit |
| int numVecRegsPerSimd; |
| // number of available scalar registers per SIMD unit |
| int numScalarRegsPerSimd; |
| |
| // this hash map will keep track of page divergence |
| // per memory instruction per wavefront. The hash map |
| // is cleared in GPUDynInst::updateStats() in gpu_dyn_inst.cc. |
| std::map<Addr, int> pagesTouched; |
| |
| void insertInPipeMap(Wavefront *w); |
| void deleteFromPipeMap(Wavefront *w); |
| |
| ComputeUnit(const Params &p); |
| ~ComputeUnit(); |
| |
| // Timing Functions |
| int oprNetPipeLength() const { return operandNetworkLength; } |
| int simdUnitWidth() const { return simdWidth; } |
| int spBypassLength() const { return spBypassPipeLength; } |
| int dpBypassLength() const { return dpBypassPipeLength; } |
| int scalarPipeLength() const { return scalarPipeStages; } |
| int storeBusLength() const { return numCyclesPerStoreTransfer; } |
| int loadBusLength() const { return numCyclesPerLoadTransfer; } |
| int wfSize() const { return wavefrontSize; } |
| |
| void exec(); |
| void initiateFetch(Wavefront *wavefront); |
| void fetch(PacketPtr pkt, Wavefront *wavefront); |
| void fillKernelState(Wavefront *w, HSAQueueEntry *task); |
| |
| void startWavefront(Wavefront *w, int waveId, LdsChunk *ldsChunk, |
| HSAQueueEntry *task, int bar_id, |
| bool fetchContext=false); |
| |
| void doInvalidate(RequestPtr req, int kernId); |
| void doFlush(GPUDynInstPtr gpuDynInst); |
| |
| void dispWorkgroup(HSAQueueEntry *task, int num_wfs_in_wg); |
| bool hasDispResources(HSAQueueEntry *task, int &num_wfs_in_wg); |
| |
| int cacheLineSize() const { return _cacheLineSize; } |
| int getCacheLineBits() const { return cacheLineBits; } |
| |
| void resetRegisterPool(); |
| |
| private: |
| WFBarrier& |
| barrierSlot(int bar_id) |
| { |
| assert(bar_id > WFBarrier::InvalidID); |
| return wfBarrierSlots.at(bar_id); |
| } |
| |
| int |
| getFreeBarrierId() |
| { |
| assert(freeBarrierIds.size()); |
| auto free_bar_id = freeBarrierIds.begin(); |
| int bar_id = *free_bar_id; |
| freeBarrierIds.erase(free_bar_id); |
| return bar_id; |
| } |
| |
| public: |
| int numYetToReachBarrier(int bar_id); |
| bool allAtBarrier(int bar_id); |
| void incNumAtBarrier(int bar_id); |
| int numAtBarrier(int bar_id); |
| int maxBarrierCnt(int bar_id); |
| void resetBarrier(int bar_id); |
| void decMaxBarrierCnt(int bar_id); |
| void releaseBarrier(int bar_id); |
| void releaseWFsFromBarrier(int bar_id); |
| int numBarrierSlots() const { return _numBarrierSlots; } |
| |
| template<typename c0, typename c1> |
| void doSmReturn(GPUDynInstPtr gpuDynInst); |
| |
| virtual void init() override; |
| void sendRequest(GPUDynInstPtr gpuDynInst, PortID index, PacketPtr pkt); |
| void sendScalarRequest(GPUDynInstPtr gpuDynInst, PacketPtr pkt); |
| void injectGlobalMemFence(GPUDynInstPtr gpuDynInst, |
| bool kernelMemSync, |
| RequestPtr req=nullptr); |
| void handleMemPacket(PacketPtr pkt, int memport_index); |
| bool processTimingPacket(PacketPtr pkt); |
| void processFetchReturn(PacketPtr pkt); |
| void updatePageDivergenceDist(Addr addr); |
| |
| RequestorID requestorId() { return _requestorId; } |
| |
| bool isDone() const; |
| bool isVectorAluIdle(uint32_t simdId) const; |
| |
| protected: |
| RequestorID _requestorId; |
| |
| LdsState &lds; |
| |
| public: |
| LdsState & |
| getLds() const |
| { |
| return lds; |
| } |
| |
| int32_t |
| getRefCounter(const uint32_t dispatchId, const uint32_t wgId) const; |
| |
| [[nodiscard]] bool sendToLds(GPUDynInstPtr gpuDynInst); |
| |
| typedef std::unordered_map<Addr, std::pair<int, int>> pageDataStruct; |
| pageDataStruct pageAccesses; |
| |
| void exitCallback(); |
| |
| class GMTokenPort : public TokenRequestPort |
| { |
| public: |
| GMTokenPort(const std::string& name, SimObject *owner, |
| PortID id = InvalidPortID) |
| : TokenRequestPort(name, owner, id) |
| { } |
| ~GMTokenPort() { } |
| |
| protected: |
| bool recvTimingResp(PacketPtr) { return false; } |
| void recvReqRetry() { } |
| }; |
| |
| // Manager for the number of tokens available to this compute unit to |
| // send global memory request packets to the coalescer this is only used |
| // between global memory pipe and TCP coalescer. |
| TokenManager *memPortTokens; |
| GMTokenPort gmTokenPort; |
| |
| /** Data access Port **/ |
| class DataPort : public RequestPort |
| { |
| public: |
| DataPort(const std::string &_name, ComputeUnit *_cu, PortID id) |
| : RequestPort(_name, _cu, id), computeUnit(_cu) { } |
| |
| bool snoopRangeSent; |
| |
| struct SenderState : public Packet::SenderState |
| { |
| GPUDynInstPtr _gpuDynInst; |
| PortID port_index; |
| Packet::SenderState *saved; |
| |
| SenderState(GPUDynInstPtr gpuDynInst, PortID _port_index, |
| Packet::SenderState *sender_state=nullptr) |
| : _gpuDynInst(gpuDynInst), |
| port_index(_port_index), |
| saved(sender_state) { } |
| }; |
| |
| void processMemReqEvent(PacketPtr pkt); |
| EventFunctionWrapper *createMemReqEvent(PacketPtr pkt); |
| |
| void processMemRespEvent(PacketPtr pkt); |
| EventFunctionWrapper *createMemRespEvent(PacketPtr pkt); |
| |
| std::deque<std::pair<PacketPtr, GPUDynInstPtr>> retries; |
| |
| protected: |
| ComputeUnit *computeUnit; |
| |
| virtual bool recvTimingResp(PacketPtr pkt); |
| virtual Tick recvAtomic(PacketPtr pkt) { return 0; } |
| virtual void recvFunctional(PacketPtr pkt) { } |
| virtual void recvRangeChange() { } |
| virtual void recvReqRetry(); |
| |
| virtual void |
| getDeviceAddressRanges(AddrRangeList &resp, bool &snoop) |
| { |
| resp.clear(); |
| snoop = true; |
| } |
| |
| }; |
| |
| // Scalar data cache access port |
| class ScalarDataPort : public RequestPort |
| { |
| public: |
| ScalarDataPort(const std::string &_name, ComputeUnit *_cu) |
| : RequestPort(_name, _cu), computeUnit(_cu) |
| { |
| } |
| |
| bool recvTimingResp(PacketPtr pkt) override; |
| void recvReqRetry() override; |
| |
| struct SenderState : public Packet::SenderState |
| { |
| SenderState(GPUDynInstPtr gpuDynInst, |
| Packet::SenderState *sender_state=nullptr) |
| : _gpuDynInst(gpuDynInst), saved(sender_state) |
| { |
| } |
| |
| GPUDynInstPtr _gpuDynInst; |
| Packet::SenderState *saved; |
| }; |
| |
| class MemReqEvent : public Event |
| { |
| private: |
| ScalarDataPort &scalarDataPort; |
| PacketPtr pkt; |
| |
| public: |
| MemReqEvent(ScalarDataPort &_scalar_data_port, PacketPtr _pkt) |
| : Event(), scalarDataPort(_scalar_data_port), pkt(_pkt) |
| { |
| setFlags(Event::AutoDelete); |
| } |
| |
| void process(); |
| const char *description() const; |
| }; |
| |
| std::deque<PacketPtr> retries; |
| |
| private: |
| ComputeUnit *computeUnit; |
| }; |
| |
| // Instruction cache access port |
| class SQCPort : public RequestPort |
| { |
| public: |
| SQCPort(const std::string &_name, ComputeUnit *_cu) |
| : RequestPort(_name, _cu), computeUnit(_cu) { } |
| |
| bool snoopRangeSent; |
| |
| struct SenderState : public Packet::SenderState |
| { |
| Wavefront *wavefront; |
| Packet::SenderState *saved; |
| // kernel id to be used in handling I-Cache invalidate response |
| int kernId; |
| |
| SenderState(Wavefront *_wavefront, Packet::SenderState |
| *sender_state=nullptr, int _kernId=-1) |
| : wavefront(_wavefront), saved(sender_state), |
| kernId(_kernId){ } |
| }; |
| |
| std::deque<std::pair<PacketPtr, Wavefront*>> retries; |
| |
| protected: |
| ComputeUnit *computeUnit; |
| |
| virtual bool recvTimingResp(PacketPtr pkt); |
| virtual Tick recvAtomic(PacketPtr pkt) { return 0; } |
| virtual void recvFunctional(PacketPtr pkt) { } |
| virtual void recvRangeChange() { } |
| virtual void recvReqRetry(); |
| |
| virtual void |
| getDeviceAddressRanges(AddrRangeList &resp, bool &snoop) |
| { |
| resp.clear(); |
| snoop = true; |
| } |
| }; |
| |
| /** Data TLB port **/ |
| class DTLBPort : public RequestPort |
| { |
| public: |
| DTLBPort(const std::string &_name, ComputeUnit *_cu, PortID id) |
| : RequestPort(_name, _cu, id), computeUnit(_cu), |
| stalled(false) |
| { } |
| |
| bool isStalled() { return stalled; } |
| void stallPort() { stalled = true; } |
| void unstallPort() { stalled = false; } |
| |
| /** |
| * here we queue all the translation requests that were |
| * not successfully sent. |
| */ |
| std::deque<PacketPtr> retries; |
| |
| /** SenderState is information carried along with the packet |
| * throughout the TLB hierarchy |
| */ |
| struct SenderState: public Packet::SenderState |
| { |
| // the memInst that this is associated with |
| GPUDynInstPtr _gpuDynInst; |
| |
| // the lane in the memInst this is associated with, so we send |
| // the memory request down the right port |
| PortID portIndex; |
| |
| // constructor used for packets involved in timing accesses |
| SenderState(GPUDynInstPtr gpuDynInst, PortID port_index) |
| : _gpuDynInst(gpuDynInst), portIndex(port_index) { } |
| |
| }; |
| |
| protected: |
| ComputeUnit *computeUnit; |
| bool stalled; |
| |
| virtual bool recvTimingResp(PacketPtr pkt); |
| virtual Tick recvAtomic(PacketPtr pkt) { return 0; } |
| virtual void recvFunctional(PacketPtr pkt) { } |
| virtual void recvRangeChange() { } |
| virtual void recvReqRetry(); |
| }; |
| |
| class ScalarDTLBPort : public RequestPort |
| { |
| public: |
| ScalarDTLBPort(const std::string &_name, ComputeUnit *_cu) |
| : RequestPort(_name, _cu), computeUnit(_cu), stalled(false) |
| { |
| } |
| |
| struct SenderState : public Packet::SenderState |
| { |
| SenderState(GPUDynInstPtr gpuDynInst) : _gpuDynInst(gpuDynInst) { } |
| GPUDynInstPtr _gpuDynInst; |
| }; |
| |
| bool recvTimingResp(PacketPtr pkt) override; |
| void recvReqRetry() override { assert(false); } |
| |
| bool isStalled() const { return stalled; } |
| void stallPort() { stalled = true; } |
| void unstallPort() { stalled = false; } |
| |
| std::deque<PacketPtr> retries; |
| |
| private: |
| ComputeUnit *computeUnit; |
| bool stalled; |
| }; |
| |
| class ITLBPort : public RequestPort |
| { |
| public: |
| ITLBPort(const std::string &_name, ComputeUnit *_cu) |
| : RequestPort(_name, _cu), computeUnit(_cu), stalled(false) { } |
| |
| |
| bool isStalled() { return stalled; } |
| void stallPort() { stalled = true; } |
| void unstallPort() { stalled = false; } |
| |
| /** |
| * here we queue all the translation requests that were |
| * not successfully sent. |
| */ |
| std::deque<PacketPtr> retries; |
| |
| /** SenderState is information carried along with the packet |
| * throughout the TLB hierarchy |
| */ |
| struct SenderState: public Packet::SenderState |
| { |
| // The wavefront associated with this request |
| Wavefront *wavefront; |
| |
| SenderState(Wavefront *_wavefront) : wavefront(_wavefront) { } |
| }; |
| |
| protected: |
| ComputeUnit *computeUnit; |
| bool stalled; |
| |
| virtual bool recvTimingResp(PacketPtr pkt); |
| virtual Tick recvAtomic(PacketPtr pkt) { return 0; } |
| virtual void recvFunctional(PacketPtr pkt) { } |
| virtual void recvRangeChange() { } |
| virtual void recvReqRetry(); |
| }; |
| |
| /** |
| * the port intended to communicate between the CU and its LDS |
| */ |
| class LDSPort : public RequestPort |
| { |
| public: |
| LDSPort(const std::string &_name, ComputeUnit *_cu) |
| : RequestPort(_name, _cu), computeUnit(_cu) |
| { |
| } |
| |
| bool isStalled() const { return stalled; } |
| void stallPort() { stalled = true; } |
| void unstallPort() { stalled = false; } |
| |
| /** |
| * here we queue all the requests that were |
| * not successfully sent. |
| */ |
| std::queue<PacketPtr> retries; |
| |
| /** |
| * SenderState is information carried along with the packet, esp. the |
| * GPUDynInstPtr |
| */ |
| class SenderState: public Packet::SenderState |
| { |
| protected: |
| // The actual read/write/atomic request that goes with this command |
| GPUDynInstPtr _gpuDynInst = nullptr; |
| |
| public: |
| SenderState(GPUDynInstPtr gpuDynInst): |
| _gpuDynInst(gpuDynInst) |
| { |
| } |
| |
| GPUDynInstPtr |
| getMemInst() const |
| { |
| return _gpuDynInst; |
| } |
| }; |
| |
| virtual bool |
| sendTimingReq(PacketPtr pkt); |
| |
| protected: |
| |
| bool stalled = false; ///< whether or not it is stalled |
| |
| ComputeUnit *computeUnit; |
| |
| virtual bool |
| recvTimingResp(PacketPtr pkt); |
| |
| virtual Tick |
| recvAtomic(PacketPtr pkt) { return 0; } |
| |
| virtual void |
| recvFunctional(PacketPtr pkt) |
| { |
| } |
| |
| virtual void |
| recvRangeChange() |
| { |
| } |
| |
| virtual void |
| recvReqRetry(); |
| }; |
| |
| /** The port to access the Local Data Store |
| * Can be connected to a LDS object |
| */ |
| LDSPort ldsPort; |
| |
| TokenManager * |
| getTokenManager() |
| { |
| return memPortTokens; |
| } |
| |
| /** The memory port for SIMD data accesses. |
| * Can be connected to PhysMem for Ruby for timing simulations |
| */ |
| std::vector<DataPort> memPort; |
| // port to the TLB hierarchy (i.e., the L1 TLB) |
| std::vector<DTLBPort> tlbPort; |
| // port to the scalar data cache |
| ScalarDataPort scalarDataPort; |
| // port to the scalar data TLB |
| ScalarDTLBPort scalarDTLBPort; |
| // port to the SQC (i.e. the I-cache) |
| SQCPort sqcPort; |
| // port to the SQC TLB (there's a separate TLB for each I-cache) |
| ITLBPort sqcTLBPort; |
| |
| Port & |
| getPort(const std::string &if_name, PortID idx) override |
| { |
| if (if_name == "memory_port" && idx < memPort.size()) { |
| return memPort[idx]; |
| } else if (if_name == "translation_port" && idx < tlbPort.size()) { |
| return tlbPort[idx]; |
| } else if (if_name == "scalar_port") { |
| return scalarDataPort; |
| } else if (if_name == "scalar_tlb_port") { |
| return scalarDTLBPort; |
| } else if (if_name == "sqc_port") { |
| return sqcPort; |
| } else if (if_name == "sqc_tlb_port") { |
| return sqcTLBPort; |
| } else if (if_name == "ldsPort") { |
| return ldsPort; |
| } else if (if_name == "gmTokenPort") { |
| return gmTokenPort; |
| } else { |
| return ClockedObject::getPort(if_name, idx); |
| } |
| } |
| |
| InstSeqNum getAndIncSeqNum() { return globalSeqNum++; } |
| |
| private: |
| const int _cacheLineSize; |
| const int _numBarrierSlots; |
| int cacheLineBits; |
| InstSeqNum globalSeqNum; |
| int wavefrontSize; |
| |
| /** |
| * TODO: Update these comments once the pipe stage interface has |
| * been fully refactored. |
| * |
| * Pipeline stage interfaces. |
| * |
| * Buffers used to communicate between various pipeline stages |
| * List of waves which will be dispatched to |
| * each execution resource. An EXREADY implies |
| * dispatch list is non-empty and |
| * execution unit has something to execute |
| * this cycle. Currently, the dispatch list of |
| * an execution resource can hold only one wave because |
| * an execution resource can execute only one wave in a cycle. |
| * dispatchList is used to communicate between schedule |
| * and exec stage |
| * |
| * At a high level, the following intra-/inter-stage communication occurs: |
| * SCB to SCH: readyList provides per exec resource list of waves that |
| * passed dependency and readiness checks. If selected by |
| * scheduler, attempt to add wave to schList conditional on |
| * RF support. |
| * SCH: schList holds waves that are gathering operands or waiting |
| * for execution resource availability. Once ready, waves are |
| * placed on the dispatchList as candidates for execution. A wave |
| * may spend multiple cycles in SCH stage, on the schList due to |
| * RF access conflicts or execution resource contention. |
| * SCH to EX: dispatchList holds waves that are ready to be executed. |
| * LM/FLAT arbitration may remove an LM wave and place it |
| * back on the schList. RF model may also force a wave back |
| * to the schList if using the detailed model. |
| */ |
| ScoreboardCheckToSchedule scoreboardCheckToSchedule; |
| ScheduleToExecute scheduleToExecute; |
| |
| /** |
| * The barrier slots for this CU. |
| */ |
| std::vector<WFBarrier> wfBarrierSlots; |
| /** |
| * A set used to easily retrieve a free barrier ID. |
| */ |
| std::unordered_set<int> freeBarrierIds; |
| |
| // hold the time of the arrival of the first cache block related to |
| // a particular GPUDynInst. This is used to calculate the difference |
| // between the first and last chace block arrival times. |
| std::unordered_map<GPUDynInstPtr, Tick> headTailMap; |
| |
| public: |
| void updateInstStats(GPUDynInstPtr gpuDynInst); |
| int activeWaves; |
| |
| struct ComputeUnitStats : public statistics::Group |
| { |
| ComputeUnitStats(statistics::Group *parent, int n_wf); |
| |
| statistics::Scalar vALUInsts; |
| statistics::Formula vALUInstsPerWF; |
| statistics::Scalar sALUInsts; |
| statistics::Formula sALUInstsPerWF; |
| statistics::Scalar instCyclesVALU; |
| statistics::Scalar instCyclesSALU; |
| statistics::Scalar threadCyclesVALU; |
| statistics::Formula vALUUtilization; |
| statistics::Scalar ldsNoFlatInsts; |
| statistics::Formula ldsNoFlatInstsPerWF; |
| statistics::Scalar flatVMemInsts; |
| statistics::Formula flatVMemInstsPerWF; |
| statistics::Scalar flatLDSInsts; |
| statistics::Formula flatLDSInstsPerWF; |
| statistics::Scalar vectorMemWrites; |
| statistics::Formula vectorMemWritesPerWF; |
| statistics::Scalar vectorMemReads; |
| statistics::Formula vectorMemReadsPerWF; |
| statistics::Scalar scalarMemWrites; |
| statistics::Formula scalarMemWritesPerWF; |
| statistics::Scalar scalarMemReads; |
| statistics::Formula scalarMemReadsPerWF; |
| |
| statistics::Formula vectorMemReadsPerKiloInst; |
| statistics::Formula vectorMemWritesPerKiloInst; |
| statistics::Formula vectorMemInstsPerKiloInst; |
| statistics::Formula scalarMemReadsPerKiloInst; |
| statistics::Formula scalarMemWritesPerKiloInst; |
| statistics::Formula scalarMemInstsPerKiloInst; |
| |
| // Cycles required to send register source (addr and data) from |
| // register files to memory pipeline, per SIMD. |
| statistics::Vector instCyclesVMemPerSimd; |
| statistics::Vector instCyclesScMemPerSimd; |
| statistics::Vector instCyclesLdsPerSimd; |
| |
| statistics::Scalar globalReads; |
| statistics::Scalar globalWrites; |
| statistics::Formula globalMemInsts; |
| statistics::Scalar argReads; |
| statistics::Scalar argWrites; |
| statistics::Formula argMemInsts; |
| statistics::Scalar spillReads; |
| statistics::Scalar spillWrites; |
| statistics::Formula spillMemInsts; |
| statistics::Scalar groupReads; |
| statistics::Scalar groupWrites; |
| statistics::Formula groupMemInsts; |
| statistics::Scalar privReads; |
| statistics::Scalar privWrites; |
| statistics::Formula privMemInsts; |
| statistics::Scalar readonlyReads; |
| statistics::Scalar readonlyWrites; |
| statistics::Formula readonlyMemInsts; |
| statistics::Scalar kernargReads; |
| statistics::Scalar kernargWrites; |
| statistics::Formula kernargMemInsts; |
| |
| statistics::Distribution waveLevelParallelism; |
| |
| // the following stats compute the avg. TLB accesslatency per |
| // uncoalesced request (only for data) |
| statistics::Scalar tlbRequests; |
| statistics::Scalar tlbCycles; |
| statistics::Formula tlbLatency; |
| // hitsPerTLBLevel[x] are the hits in Level x TLB. |
| // x = 0 is the page table. |
| statistics::Vector hitsPerTLBLevel; |
| |
| statistics::Scalar ldsBankAccesses; |
| statistics::Distribution ldsBankConflictDist; |
| |
| // over all memory instructions executed over all wavefronts |
| // how many touched 0-4 pages, 4-8, ..., 60-64 pages |
| statistics::Distribution pageDivergenceDist; |
| // count of non-flat global memory vector instructions executed |
| statistics::Scalar dynamicGMemInstrCnt; |
| // count of flat global memory vector instructions executed |
| statistics::Scalar dynamicFlatMemInstrCnt; |
| statistics::Scalar dynamicLMemInstrCnt; |
| |
| statistics::Scalar wgBlockedDueBarrierAllocation; |
| statistics::Scalar wgBlockedDueLdsAllocation; |
| // Number of instructions executed, i.e. if 64 (or 32 or 7) lanes are |
| // active when the instruction is committed, this number is still |
| // incremented by 1 |
| statistics::Scalar numInstrExecuted; |
| // Number of cycles among successive instruction executions across all |
| // wavefronts of the same CU |
| statistics::Distribution execRateDist; |
| // number of individual vector operations executed |
| statistics::Scalar numVecOpsExecuted; |
| // number of individual f16 vector operations executed |
| statistics::Scalar numVecOpsExecutedF16; |
| // number of individual f32 vector operations executed |
| statistics::Scalar numVecOpsExecutedF32; |
| // number of individual f64 vector operations executed |
| statistics::Scalar numVecOpsExecutedF64; |
| // number of individual FMA 16,32,64 vector operations executed |
| statistics::Scalar numVecOpsExecutedFMA16; |
| statistics::Scalar numVecOpsExecutedFMA32; |
| statistics::Scalar numVecOpsExecutedFMA64; |
| // number of individual MAC 16,32,64 vector operations executed |
| statistics::Scalar numVecOpsExecutedMAC16; |
| statistics::Scalar numVecOpsExecutedMAC32; |
| statistics::Scalar numVecOpsExecutedMAC64; |
| // number of individual MAD 16,32,64 vector operations executed |
| statistics::Scalar numVecOpsExecutedMAD16; |
| statistics::Scalar numVecOpsExecutedMAD32; |
| statistics::Scalar numVecOpsExecutedMAD64; |
| // total number of two op FP vector operations executed |
| statistics::Scalar numVecOpsExecutedTwoOpFP; |
| // Total cycles that something is running on the GPU |
| statistics::Scalar totalCycles; |
| statistics::Formula vpc; // vector ops per cycle |
| statistics::Formula vpc_f16; // vector ops per cycle |
| statistics::Formula vpc_f32; // vector ops per cycle |
| statistics::Formula vpc_f64; // vector ops per cycle |
| statistics::Formula ipc; // vector instructions per cycle |
| statistics::Distribution controlFlowDivergenceDist; |
| statistics::Distribution activeLanesPerGMemInstrDist; |
| statistics::Distribution activeLanesPerLMemInstrDist; |
| // number of vector ALU instructions received |
| statistics::Formula numALUInstsExecuted; |
| // number of times a WG cannot start due to lack of free VGPRs in SIMDs |
| statistics::Scalar numTimesWgBlockedDueVgprAlloc; |
| // number of times a WG cannot start due to lack of free SGPRs in SIMDs |
| statistics::Scalar numTimesWgBlockedDueSgprAlloc; |
| statistics::Scalar numCASOps; |
| statistics::Scalar numFailedCASOps; |
| statistics::Scalar completedWfs; |
| statistics::Scalar completedWGs; |
| |
| // distrubtion in latency difference between first and last cache block |
| // arrival ticks |
| statistics::Distribution headTailLatency; |
| |
| // Track the amount of interleaving between wavefronts on each SIMD. |
| // This stat is sampled using instExecPerSimd to compute the number |
| // of instructions that have been executed on a SIMD between a WF |
| // executing two successive instructions. |
| statistics::VectorDistribution instInterleave; |
| } stats; |
| }; |
| |
| } // namespace gem5 |
| |
| #endif // __COMPUTE_UNIT_HH__ |
