src/gpu-compute/gpu_dyn_inst.cc - public/gem5 - Git at Google

 /*
  * Copyright (c) 2015-2017 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/gpu_dyn_inst.hh"

 #include "debug/GPUInst.hh"
 #include "debug/GPUMem.hh"
 #include "gpu-compute/gpu_static_inst.hh"
 #include "gpu-compute/scalar_register_file.hh"
 #include "gpu-compute/shader.hh"
 #include "gpu-compute/wavefront.hh"

 GPUDynInst::GPUDynInst(ComputeUnit *_cu, Wavefront *_wf,
                        GPUStaticInst *static_inst, InstSeqNum instSeqNum)
     : GPUExecContext(_cu, _wf), scalarAddr(0), addr(computeUnit()->wfSize(),
       (Addr)0), numScalarReqs(0), isSaveRestore(false),
       _staticInst(static_inst), _seqNum(instSeqNum),
       maxSrcVecRegOpSize(-1), maxSrcScalarRegOpSize(-1)
 {
     _staticInst->initOperandInfo();
     statusVector.assign(TheGpuISA::NumVecElemPerVecReg, 0);
     tlbHitLevel.assign(computeUnit()->wfSize(), -1);
     // vector instructions can have up to 4 source/destination operands
     d_data = new uint8_t[computeUnit()->wfSize() * 4 * sizeof(double)];
     a_data = new uint8_t[computeUnit()->wfSize() * 8];
     x_data = new uint8_t[computeUnit()->wfSize() * 8];
     // scalar loads can read up to 16 Dwords of data (see publicly
     // available GCN3 ISA manual)
     scalar_data = new uint8_t[16 * sizeof(uint32_t)];
     for (int i = 0; i < (16 * sizeof(uint32_t)); ++i) {
         scalar_data[i] = 0;
     }
     for (int i = 0; i < (computeUnit()->wfSize() * 8); ++i) {
         a_data[i] = 0;
         x_data[i] = 0;
     }
     for (int i = 0; i < (computeUnit()->wfSize() * 4 * sizeof(double)); ++i) {
         d_data[i] = 0;
     }
     time = 0;

     cu_id = _cu->cu_id;
     if (_wf) {
         simdId = _wf->simdId;
         wfDynId = _wf->wfDynId;
         kern_id = _wf->kernId;
         wg_id = _wf->wgId;
         wfSlotId = _wf->wfSlotId;
     } else {
         simdId = -1;
         wfDynId = -1;
         kern_id = -1;
         wg_id = -1;
         wfSlotId = -1;
     }


     DPRINTF(GPUInst, "%s: generating operand info for %d operands\n",
             disassemble(), getNumOperands());

     _staticInst->initDynOperandInfo(wavefront(), computeUnit());

 }

 GPUDynInst::~GPUDynInst()
 {
     delete[] d_data;
     delete[] a_data;
     delete[] x_data;
     delete[] scalar_data;
     delete _staticInst;
 }

 void
 GPUDynInst::execute(GPUDynInstPtr gpuDynInst)
 {
     _staticInst->execute(gpuDynInst);
 }

 const std::vector<OperandInfo>&
 GPUDynInst::srcVecRegOperands() const
 {
     return _staticInst->srcVecRegOperands();
 }

 const std::vector<OperandInfo>&
 GPUDynInst::dstVecRegOperands() const
 {
     return _staticInst->dstVecRegOperands();
 }

 const std::vector<OperandInfo>&
 GPUDynInst::srcScalarRegOperands() const
 {
     return _staticInst->srcScalarRegOperands();
 }

 const std::vector<OperandInfo>&
 GPUDynInst::dstScalarRegOperands() const
 {
     return _staticInst->dstScalarRegOperands();
 }

 int
 GPUDynInst::numSrcRegOperands()
 {
     return _staticInst->numSrcRegOperands();
 }

 int
 GPUDynInst::numDstRegOperands()
 {
     return _staticInst->numDstRegOperands();
 }

 int
 GPUDynInst::numSrcVecRegOperands() const
 {
     return _staticInst->numSrcVecOperands();
 }

 int
 GPUDynInst::numDstVecRegOperands() const
 {
     return _staticInst->numDstVecOperands();
 }

 int
 GPUDynInst::maxSrcVecRegOperandSize()
 {
     if (maxSrcVecRegOpSize != -1)
         return maxSrcVecRegOpSize;

     maxSrcVecRegOpSize = 0;
     for (const auto& srcVecOp : srcVecRegOperands())
         if (srcVecOp.sizeInDWords() > maxSrcVecRegOpSize)
             maxSrcVecRegOpSize = srcVecOp.sizeInDWords();

     return maxSrcVecRegOpSize;
 }

 int
 GPUDynInst::numSrcVecDWords()
 {
     return _staticInst->numSrcVecDWords();
 }

 int
 GPUDynInst::numDstVecDWords()
 {
     return _staticInst->numDstVecDWords();
 }

 int
 GPUDynInst::numSrcScalarRegOperands() const
 {
     return _staticInst->numSrcScalarOperands();
 }

 int
 GPUDynInst::numDstScalarRegOperands() const
 {
     return _staticInst->numDstScalarOperands();
 }

 int
 GPUDynInst::maxSrcScalarRegOperandSize()
 {
     if (maxSrcScalarRegOpSize != -1)
         return maxSrcScalarRegOpSize;

     maxSrcScalarRegOpSize = 0;
     for (const auto& srcScOp : srcScalarRegOperands())
         if (srcScOp.sizeInDWords() > maxSrcScalarRegOpSize)
             maxSrcScalarRegOpSize = srcScOp.sizeInDWords();

     return maxSrcScalarRegOpSize;
 }

 int
 GPUDynInst::numSrcScalarDWords()
 {
     return _staticInst->numSrcScalarDWords();
 }

 int
 GPUDynInst::numDstScalarDWords()
 {
     return _staticInst->numDstScalarDWords();
 }

 int
 GPUDynInst::maxOperandSize()
 {
     return _staticInst->maxOperandSize();
 }

 int
 GPUDynInst::getNumOperands() const
 {
     return _staticInst->getNumOperands();
 }

 bool
 GPUDynInst::hasSourceVgpr() const
 {
     return !srcVecRegOperands().empty();
 }

 bool
 GPUDynInst::hasDestinationVgpr() const
 {
     return !dstVecRegOperands().empty();
 }

 bool
 GPUDynInst::hasSourceSgpr() const
 {
     return !srcScalarRegOperands().empty();
 }

 bool
 GPUDynInst::hasDestinationSgpr() const
 {
     return !dstScalarRegOperands().empty();
 }

 bool
 GPUDynInst::isOpcode(const std::string& opcodeStr,
                      const std::string& extStr) const
 {
     return _staticInst->opcode().find(opcodeStr) != std::string::npos &&
         _staticInst->opcode().find(extStr) != std::string::npos;
 }

 bool
 GPUDynInst::isOpcode(const std::string& opcodeStr) const
 {
     return _staticInst->opcode().find(opcodeStr) != std::string::npos;
 }

 const std::string&
 GPUDynInst::disassemble() const
 {
     return _staticInst->disassemble();
 }

 InstSeqNum
 GPUDynInst::seqNum() const
 {
     return _seqNum;
 }

 enums::StorageClassType
 GPUDynInst::executedAs()
 {
     return _staticInst->executed_as;
 }

 // Process a memory instruction and (if necessary) submit timing request
 void
 GPUDynInst::initiateAcc(GPUDynInstPtr gpuDynInst)
 {
     DPRINTF(GPUMem, "CU%d: WF[%d][%d]: mempacket status bitvector=%#x\n",
             cu->cu_id, simdId, wfSlotId, exec_mask);

     _staticInst->initiateAcc(gpuDynInst);
 }

 void
 GPUDynInst::completeAcc(GPUDynInstPtr gpuDynInst)
 {
     DPRINTF(GPUMem, "CU%d: WF[%d][%d]: mempacket status bitvector="
             "%#x\n complete",
             cu->cu_id, simdId, wfSlotId, exec_mask);

     _staticInst->completeAcc(gpuDynInst);
 }

 /**
  * accessor methods for the attributes of
  * the underlying GPU static instruction
  */
 bool
 GPUDynInst::isALU() const
 {
     return _staticInst->isALU();
 }

 bool
 GPUDynInst::isBranch() const
 {
     return _staticInst->isBranch();
 }

 bool
 GPUDynInst::isCondBranch() const
 {
     return _staticInst->isCondBranch();
 }

 bool
 GPUDynInst::isNop() const
 {
     return _staticInst->isNop();
 }

 bool
 GPUDynInst::isEndOfKernel() const
 {
     return _staticInst->isEndOfKernel();
 }

 bool
 GPUDynInst::isKernelLaunch() const
 {
     return _staticInst->isKernelLaunch();
 }

 bool
 GPUDynInst::isSDWAInst() const
 {
     return _staticInst->isSDWAInst();
 }

 bool
 GPUDynInst::isDPPInst() const
 {
     return _staticInst->isDPPInst();
 }

 bool
 GPUDynInst::isReturn() const
 {
     return _staticInst->isReturn();
 }

 bool
 GPUDynInst::isUnconditionalJump() const
 {
     return _staticInst->isUnconditionalJump();
 }

 bool
 GPUDynInst::isSpecialOp() const
 {
     return _staticInst->isSpecialOp();
 }

 bool
 GPUDynInst::isWaitcnt() const
 {
     return _staticInst->isWaitcnt();
 }

 bool
 GPUDynInst::isSleep() const
 {
     return _staticInst->isSleep();
 }

 bool
 GPUDynInst::isBarrier() const
 {
     return _staticInst->isBarrier();
 }

 bool
 GPUDynInst::isMemSync() const
 {
     return _staticInst->isMemSync();
 }

 bool
 GPUDynInst::isMemRef() const
 {
     return _staticInst->isMemRef();
 }

 bool
 GPUDynInst::isFlat() const
 {
     return _staticInst->isFlat();
 }

 bool
 GPUDynInst::isLoad() const
 {
     return _staticInst->isLoad();
 }

 bool
 GPUDynInst::isStore() const
 {
     return _staticInst->isStore();
 }

 bool
 GPUDynInst::isAtomic() const
 {
     return _staticInst->isAtomic();
 }

 bool
 GPUDynInst::isAtomicNoRet() const
 {
     return _staticInst->isAtomicNoRet();
 }

 bool
 GPUDynInst::isAtomicRet() const
 {
     return _staticInst->isAtomicRet();
 }

 bool
 GPUDynInst::isVector() const
 {
     return !_staticInst->isScalar();
 }

 bool
 GPUDynInst::isScalar() const
 {
     return _staticInst->isScalar();
 }

 bool
 GPUDynInst::readsSCC() const
 {
     return _staticInst->readsSCC();
 }

 bool
 GPUDynInst::writesSCC() const
 {
     return _staticInst->writesSCC();
 }

 bool
 GPUDynInst::readsVCC() const
 {
     for (const auto& srcOp : _staticInst->srcOperands())
         if (srcOp.isVcc())
             return true;

     return _staticInst->readsVCC();
 }

 bool
 GPUDynInst::writesVCC() const
 {
     for (const auto& dstOp : _staticInst->dstOperands())
         if (dstOp.isVcc())
             return true;

     return _staticInst->writesVCC();
 }

 bool
 GPUDynInst::readsMode() const
 {
     return _staticInst->readsMode();
 }

 bool
 GPUDynInst::writesMode() const
 {
     return _staticInst->writesMode();
 }

 bool
 GPUDynInst::readsExec() const
 {
     return _staticInst->readsEXEC();
 }

 bool
 GPUDynInst::writesExec() const
 {
     return _staticInst->writesEXEC();
 }

 bool
 GPUDynInst::ignoreExec() const
 {
     return _staticInst->ignoreExec();
 }

 bool
 GPUDynInst::writesExecMask() const
 {
     for (const auto& dstOp : _staticInst->dstOperands())
         if (dstOp.isExec())
             return true;

     return _staticInst->writesEXEC();
 }

 bool
 GPUDynInst::readsExecMask() const
 {
     for (const auto& srcOp : _staticInst->srcOperands())
         if (srcOp.isExec())
             return true;

     return _staticInst->readsEXEC();
 }

 bool
 GPUDynInst::writesFlatScratch() const
 {
     for (const auto& dstScalarOp : dstScalarRegOperands())
         if (dstScalarOp.isFlatScratch())
             return true;

     return false;
 }

 bool
 GPUDynInst::readsFlatScratch() const
 {
     for (const auto& srcScalarOp : srcScalarRegOperands())
         if (srcScalarOp.isFlatScratch())
             return true;

     return false;
 }

 bool
 GPUDynInst::isAtomicAnd() const
 {
     return _staticInst->isAtomicAnd();
 }

 bool
 GPUDynInst::isAtomicOr() const
 {
     return _staticInst->isAtomicOr();
 }

 bool
 GPUDynInst::isAtomicXor() const
 {
     return _staticInst->isAtomicXor();
 }

 bool
 GPUDynInst::isAtomicCAS() const
 {
     return _staticInst->isAtomicCAS();
 }

 bool GPUDynInst::isAtomicExch() const
 {
     return _staticInst->isAtomicExch();
 }

 bool
 GPUDynInst::isAtomicAdd() const
 {
     return _staticInst->isAtomicAdd();
 }

 bool
 GPUDynInst::isAtomicSub() const
 {
     return _staticInst->isAtomicSub();
 }

 bool
 GPUDynInst::isAtomicInc() const
 {
     return _staticInst->isAtomicInc();
 }

 bool
 GPUDynInst::isAtomicDec() const
 {
     return _staticInst->isAtomicDec();
 }

 bool
 GPUDynInst::isAtomicMax() const
 {
     return _staticInst->isAtomicMax();
 }

 bool
 GPUDynInst::isAtomicMin() const
 {
     return _staticInst->isAtomicMin();
 }

 bool
 GPUDynInst::isArgLoad() const
 {
     return _staticInst->isArgLoad();
 }

 bool
 GPUDynInst::isGlobalMem() const
 {
     return _staticInst->isGlobalMem();
 }

 bool
 GPUDynInst::isLocalMem() const
 {
     return _staticInst->isLocalMem();
 }

 bool
 GPUDynInst::isArgSeg() const
 {
     return _staticInst->isArgSeg();
 }

 bool
 GPUDynInst::isGlobalSeg() const
 {
     return _staticInst->isGlobalSeg();
 }

 bool
 GPUDynInst::isGroupSeg() const
 {
     return _staticInst->isGroupSeg();
 }

 bool
 GPUDynInst::isKernArgSeg() const
 {
     return _staticInst->isKernArgSeg();
 }

 bool
 GPUDynInst::isPrivateSeg() const
 {
     return _staticInst->isPrivateSeg();
 }

 bool
 GPUDynInst::isReadOnlySeg() const
 {
     return _staticInst->isReadOnlySeg();
 }

 bool
 GPUDynInst::isSpillSeg() const
 {
     return _staticInst->isSpillSeg();
 }

 bool
 GPUDynInst::isGloballyCoherent() const
 {
     return _staticInst->isGloballyCoherent();
 }

 bool
 GPUDynInst::isSystemCoherent() const
 {
     return _staticInst->isSystemCoherent();
 }

 bool
 GPUDynInst::isF16() const
 {
     return _staticInst->isF16();
 }

 bool
 GPUDynInst::isF32() const
 {
     return _staticInst->isF32();
 }

 bool
 GPUDynInst::isF64() const
 {
     return _staticInst->isF64();
 }

 bool
 GPUDynInst::isFMA() const
 {
     return _staticInst->isFMA();
 }

 bool
 GPUDynInst::isMAC() const
 {
     return _staticInst->isMAC();
 }

 bool
 GPUDynInst::isMAD() const
 {
     return _staticInst->isMAD();
 }

 void
 GPUDynInst::doApertureCheck(const VectorMask &mask)
 {
     assert(mask.any());
     // find the segment of the first active address, after
     // that we check that all other active addresses also
     // fall within the same APE
     for (int lane = 0; lane < computeUnit()->wfSize(); ++lane) {
         if (mask[lane]) {
             if (computeUnit()->shader->isLdsApe(addr[lane])) {
                 // group segment
                 staticInstruction()->executed_as = enums::SC_GROUP;
                 break;
             } else if (computeUnit()->shader->isScratchApe(addr[lane])) {
                 // private segment
                 staticInstruction()->executed_as = enums::SC_PRIVATE;
                 break;
             } else if (computeUnit()->shader->isGpuVmApe(addr[lane])) {
                 // we won't support GPUVM
                 fatal("flat access is in GPUVM APE\n");
             } else if (bits(addr[lane], 63, 47) != 0x1FFFF &&
                        bits(addr[lane], 63, 47)) {
                 // we are in the "hole", this is a memory violation
                 fatal("flat access at addr %#x has a memory violation\n",
                       addr[lane]);
             } else {
                 // global memory segment
                 staticInstruction()->executed_as = enums::SC_GLOBAL;
                 break;
             }
         }
     }

     // we should have found the segment
     assert(executedAs() != enums::SC_NONE);

     // flat accesses should not straddle multiple APEs so we
     // must check that all addresses fall within the same APE
     if (executedAs() == enums::SC_GROUP) {
         for (int lane = 0; lane < computeUnit()->wfSize(); ++lane) {
             if (mask[lane]) {
                 // if the first valid addr we found above was LDS,
                 // all the rest should be
                 assert(computeUnit()->shader->isLdsApe(addr[lane]));
             }
         }
     } else if (executedAs() == enums::SC_PRIVATE) {
         for (int lane = 0; lane < computeUnit()->wfSize(); ++lane) {
             if (mask[lane]) {
                 // if the first valid addr we found above was private,
                 // all the rest should be
                 assert(computeUnit()->shader->isScratchApe(addr[lane]));
             }
         }
     } else {
         for (int lane = 0; lane < computeUnit()->wfSize(); ++lane) {
             if (mask[lane]) {
                 // if the first valid addr we found above was global,
                 // all the rest should be. because we don't have an
                 // explicit range of the global segment, we just make
                 // sure that the address fall in no other APE and that
                 // it is not a memory violation
                 assert(!computeUnit()->shader->isLdsApe(addr[lane]));
                 assert(!computeUnit()->shader->isScratchApe(addr[lane]));
                 assert(!computeUnit()->shader->isGpuVmApe(addr[lane]));
                 assert(!(bits(addr[lane], 63, 47) != 0x1FFFF
                        && bits(addr[lane], 63, 47)));
             }
         }
     }
 }

 void
 GPUDynInst::resolveFlatSegment(const VectorMask &mask)
 {
     doApertureCheck(mask);


     // Now that we know the aperature, do the following:
     // 1. Transform the flat address to its segmented equivalent.
     // 2. Set the execUnitId based an the aperture check.
     // 3. Decrement any extra resources that were reserved. Other
     //    resources are released as normal, below.
     if (executedAs() == enums::SC_GLOBAL) {
         // no transormation for global segment
         wavefront()->execUnitId =  wavefront()->flatGmUnitId;
         if (isLoad()) {
             wavefront()->rdLmReqsInPipe--;
         } else if (isStore()) {
             wavefront()->wrLmReqsInPipe--;
         } else if (isAtomic() || isMemSync()) {
             wavefront()->wrLmReqsInPipe--;
             wavefront()->rdLmReqsInPipe--;
         } else {
             panic("Invalid memory operation!\n");
         }
     } else if (executedAs() == enums::SC_GROUP) {
         for (int lane = 0; lane < wavefront()->computeUnit->wfSize(); ++lane) {
             if (mask[lane]) {
                 // flat address calculation goes here.
                 // addr[lane] = segmented address
                 panic("Flat group memory operation is unimplemented!\n");
             }
         }
         wavefront()->execUnitId =  wavefront()->flatLmUnitId;
         wavefront()->decVMemInstsIssued();
         if (isLoad()) {
             wavefront()->rdGmReqsInPipe--;
         } else if (isStore()) {
             wavefront()->wrGmReqsInPipe--;
         } else if (isAtomic() || isMemSync()) {
             wavefront()->rdGmReqsInPipe--;
             wavefront()->wrGmReqsInPipe--;
         } else {
             panic("Invalid memory operation!\n");
         }
     } else if (executedAs() == enums::SC_PRIVATE) {
         /**
          * Flat instructions may resolve to the private segment (scratch),
          * which is backed by main memory and provides per-lane scratch
          * memory. Flat addressing uses apertures - registers that specify
          * the address range in the VA space where LDS/private memory is
          * mapped. The value of which is set by the kernel mode driver.
          * These apertures use addresses that are not used by x86 CPUs.
          * When the address of a Flat operation falls into one of the
          * apertures, the Flat operation is redirected to either LDS or
          * to the private memory segment.
          *
          * For private memory the SW runtime will allocate some space in
          * the VA space for each AQL queue. The base address of which is
          * stored in scalar registers per the AMD GPU ABI. The amd_queue_t
          * scratch_backing_memory_location provides the base address in
          * memory for the queue's private segment. Various other fields
          * loaded into register state during kernel launch specify per-WF
          * and per-work-item offsets so that individual lanes may access
          * their private segment allocation.
          *
          * For more details about flat addressing see:
          *     http://rocm-documentation.readthedocs.io/en/latest/
          *     ROCm_Compiler_SDK/ROCm-Native-ISA.html#flat-scratch
          *
          *     https://github.com/ROCm-Developer-Tools/
          *     ROCm-ComputeABI-Doc/blob/master/AMDGPU-ABI.md
          *     #flat-addressing
          */

         uint32_t numSgprs = wavefront()->maxSgprs;
         uint32_t physSgprIdx =
             wavefront()->computeUnit->registerManager->mapSgpr(wavefront(),
                                                           numSgprs - 3);
         uint32_t offset =
             wavefront()->computeUnit->srf[simdId]->read(physSgprIdx);
         physSgprIdx =
             wavefront()->computeUnit->registerManager->mapSgpr(wavefront(),
                                                           numSgprs - 4);
         uint32_t size =
             wavefront()->computeUnit->srf[simdId]->read(physSgprIdx);
         for (int lane = 0; lane < wavefront()->computeUnit->wfSize(); ++lane) {
             if (mask[lane]) {
                 addr[lane] = addr[lane] + lane * size + offset +
                     wavefront()->computeUnit->shader->getHiddenPrivateBase() -
                     wavefront()->computeUnit->shader->getScratchBase();
             }
         }
         wavefront()->execUnitId =  wavefront()->flatLmUnitId;
         wavefront()->decLGKMInstsIssued();
         if (isLoad()) {
             wavefront()->rdGmReqsInPipe--;
         } else if (isStore()) {
             wavefront()->wrGmReqsInPipe--;
         } else if (isAtomic() || isMemSync()) {
             wavefront()->rdGmReqsInPipe--;
             wavefront()->wrGmReqsInPipe--;
         } else {
             panic("Invalid memory operation!\n");
         }
     } else {
         for (int lane = 0; lane < wavefront()->computeUnit->wfSize(); ++lane) {
             if (mask[lane]) {
                 panic("flat addr %#llx maps to bad segment %d\n",
                       addr[lane], executedAs());
             }
         }
     }
 }

 TheGpuISA::ScalarRegU32
 GPUDynInst::srcLiteral() const
 {
     return _staticInst->srcLiteral();
 }

 void
 GPUDynInst::updateStats()
 {
     if (_staticInst->isLocalMem()) {
         // access to LDS (shared) memory
         cu->stats.dynamicLMemInstrCnt++;
     } else if (_staticInst->isFlat()) {
         cu->stats.dynamicFlatMemInstrCnt++;
     } else {
         // access to global memory

         // update PageDivergence histogram
         int number_pages_touched = cu->pagesTouched.size();
         assert(number_pages_touched);
         cu->stats.pageDivergenceDist.sample(number_pages_touched);

         std::pair<ComputeUnit::pageDataStruct::iterator, bool> ret;

         for (auto it : cu->pagesTouched) {
             // see if this page has been touched before. if not, this also
             // inserts the page into the table.
             ret = cu->pageAccesses
                 .insert(ComputeUnit::pageDataStruct::value_type(it.first,
                         std::make_pair(1, it.second)));

             // if yes, then update the stats
             if (!ret.second) {
                 ret.first->second.first++;
                 ret.first->second.second += it.second;
             }
         }

         cu->pagesTouched.clear();

         // total number of memory instructions (dynamic)
         // Atomics are counted as a single memory instruction.
         // this is # memory instructions per wavefronts, not per workitem
         cu->stats.dynamicGMemInstrCnt++;
     }
 }

 void
 GPUDynInst::profileRoundTripTime(Tick currentTime, int hopId)
 {
     // Only take the first measurement in the case of coalescing
     if (roundTripTime.size() > hopId)
         return;

     roundTripTime.push_back(currentTime);
 }

 void
 GPUDynInst::profileLineAddressTime(Addr addr, Tick currentTime, int hopId)
 {
     if (lineAddressTime.count(addr)) {
         if (lineAddressTime[addr].size() > hopId) {
             return;
         }

         lineAddressTime[addr].push_back(currentTime);
     } else if (hopId == 0) {
         auto addressTimeVec = std::vector<Tick> { currentTime };
         lineAddressTime.insert(std::make_pair(addr, addressTimeVec));
     }
 }
	/*
	* Copyright (c) 2015-2017 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/gpu_dyn_inst.hh"

	#include "debug/GPUInst.hh"
	#include "debug/GPUMem.hh"
	#include "gpu-compute/gpu_static_inst.hh"
	#include "gpu-compute/scalar_register_file.hh"
	#include "gpu-compute/shader.hh"
	#include "gpu-compute/wavefront.hh"

	GPUDynInst::GPUDynInst(ComputeUnit _cu, Wavefront _wf,
	GPUStaticInst *static_inst, InstSeqNum instSeqNum)
	: GPUExecContext(_cu, _wf), scalarAddr(0), addr(computeUnit()->wfSize(),
	(Addr)0), numScalarReqs(0), isSaveRestore(false),
	_staticInst(static_inst), _seqNum(instSeqNum),
	maxSrcVecRegOpSize(-1), maxSrcScalarRegOpSize(-1)
	{
	_staticInst->initOperandInfo();
	statusVector.assign(TheGpuISA::NumVecElemPerVecReg, 0);
	tlbHitLevel.assign(computeUnit()->wfSize(), -1);
	// vector instructions can have up to 4 source/destination operands
	d_data = new uint8_t[computeUnit()->wfSize() * 4 * sizeof(double)];
	a_data = new uint8_t[computeUnit()->wfSize() * 8];
	x_data = new uint8_t[computeUnit()->wfSize() * 8];
	// scalar loads can read up to 16 Dwords of data (see publicly
	// available GCN3 ISA manual)
	scalar_data = new uint8_t[16 * sizeof(uint32_t)];
	for (int i = 0; i < (16 * sizeof(uint32_t)); ++i) {
	scalar_data[i] = 0;
	}
	for (int i = 0; i < (computeUnit()->wfSize() * 8); ++i) {
	a_data[i] = 0;
	x_data[i] = 0;
	}
	for (int i = 0; i < (computeUnit()->wfSize() * 4 * sizeof(double)); ++i) {
	d_data[i] = 0;
	}
	time = 0;

	cu_id = _cu->cu_id;
	if (_wf) {
	simdId = _wf->simdId;
	wfDynId = _wf->wfDynId;
	kern_id = _wf->kernId;
	wg_id = _wf->wgId;
	wfSlotId = _wf->wfSlotId;
	} else {
	simdId = -1;
	wfDynId = -1;
	kern_id = -1;
	wg_id = -1;
	wfSlotId = -1;
	}


	DPRINTF(GPUInst, "%s: generating operand info for %d operands\n",
	disassemble(), getNumOperands());

	_staticInst->initDynOperandInfo(wavefront(), computeUnit());

	}

	GPUDynInst::~GPUDynInst()
	{
	delete[] d_data;
	delete[] a_data;
	delete[] x_data;
	delete[] scalar_data;
	delete _staticInst;
	}

	void
	GPUDynInst::execute(GPUDynInstPtr gpuDynInst)
	{
	_staticInst->execute(gpuDynInst);
	}

	const std::vector<OperandInfo>&
	GPUDynInst::srcVecRegOperands() const
	{
	return _staticInst->srcVecRegOperands();
	}

	const std::vector<OperandInfo>&
	GPUDynInst::dstVecRegOperands() const
	{
	return _staticInst->dstVecRegOperands();
	}

	const std::vector<OperandInfo>&
	GPUDynInst::srcScalarRegOperands() const
	{
	return _staticInst->srcScalarRegOperands();
	}

	const std::vector<OperandInfo>&
	GPUDynInst::dstScalarRegOperands() const
	{
	return _staticInst->dstScalarRegOperands();
	}

	int
	GPUDynInst::numSrcRegOperands()
	{
	return _staticInst->numSrcRegOperands();
	}

	int
	GPUDynInst::numDstRegOperands()
	{
	return _staticInst->numDstRegOperands();
	}

	int
	GPUDynInst::numSrcVecRegOperands() const
	{
	return _staticInst->numSrcVecOperands();
	}

	int
	GPUDynInst::numDstVecRegOperands() const
	{
	return _staticInst->numDstVecOperands();
	}

	int
	GPUDynInst::maxSrcVecRegOperandSize()
	{
	if (maxSrcVecRegOpSize != -1)
	return maxSrcVecRegOpSize;

	maxSrcVecRegOpSize = 0;
	for (const auto& srcVecOp : srcVecRegOperands())
	if (srcVecOp.sizeInDWords() > maxSrcVecRegOpSize)
	maxSrcVecRegOpSize = srcVecOp.sizeInDWords();

	return maxSrcVecRegOpSize;
	}

	int
	GPUDynInst::numSrcVecDWords()
	{
	return _staticInst->numSrcVecDWords();
	}

	int
	GPUDynInst::numDstVecDWords()
	{
	return _staticInst->numDstVecDWords();
	}

	int
	GPUDynInst::numSrcScalarRegOperands() const
	{
	return _staticInst->numSrcScalarOperands();
	}

	int
	GPUDynInst::numDstScalarRegOperands() const
	{
	return _staticInst->numDstScalarOperands();
	}

	int
	GPUDynInst::maxSrcScalarRegOperandSize()
	{
	if (maxSrcScalarRegOpSize != -1)
	return maxSrcScalarRegOpSize;

	maxSrcScalarRegOpSize = 0;
	for (const auto& srcScOp : srcScalarRegOperands())
	if (srcScOp.sizeInDWords() > maxSrcScalarRegOpSize)
	maxSrcScalarRegOpSize = srcScOp.sizeInDWords();

	return maxSrcScalarRegOpSize;
	}

	int
	GPUDynInst::numSrcScalarDWords()
	{
	return _staticInst->numSrcScalarDWords();
	}

	int
	GPUDynInst::numDstScalarDWords()
	{
	return _staticInst->numDstScalarDWords();
	}

	int
	GPUDynInst::maxOperandSize()
	{
	return _staticInst->maxOperandSize();
	}

	int
	GPUDynInst::getNumOperands() const
	{
	return _staticInst->getNumOperands();
	}

	bool
	GPUDynInst::hasSourceVgpr() const
	{
	return !srcVecRegOperands().empty();
	}

	bool
	GPUDynInst::hasDestinationVgpr() const
	{
	return !dstVecRegOperands().empty();
	}

	bool
	GPUDynInst::hasSourceSgpr() const
	{
	return !srcScalarRegOperands().empty();
	}

	bool
	GPUDynInst::hasDestinationSgpr() const
	{
	return !dstScalarRegOperands().empty();
	}

	bool
	GPUDynInst::isOpcode(const std::string& opcodeStr,
	const std::string& extStr) const
	{
	return _staticInst->opcode().find(opcodeStr) != std::string::npos &&
	_staticInst->opcode().find(extStr) != std::string::npos;
	}

	bool
	GPUDynInst::isOpcode(const std::string& opcodeStr) const
	{
	return _staticInst->opcode().find(opcodeStr) != std::string::npos;
	}

	const std::string&
	GPUDynInst::disassemble() const
	{
	return _staticInst->disassemble();
	}

	InstSeqNum
	GPUDynInst::seqNum() const
	{
	return _seqNum;
	}

	enums::StorageClassType
	GPUDynInst::executedAs()
	{
	return _staticInst->executed_as;
	}

	// Process a memory instruction and (if necessary) submit timing request
	void
	GPUDynInst::initiateAcc(GPUDynInstPtr gpuDynInst)
	{
	DPRINTF(GPUMem, "CU%d: WF[%d][%d]: mempacket status bitvector=%#x\n",
	cu->cu_id, simdId, wfSlotId, exec_mask);

	_staticInst->initiateAcc(gpuDynInst);
	}

	void
	GPUDynInst::completeAcc(GPUDynInstPtr gpuDynInst)
	{
	DPRINTF(GPUMem, "CU%d: WF[%d][%d]: mempacket status bitvector="
	"%#x\n complete",
	cu->cu_id, simdId, wfSlotId, exec_mask);

	_staticInst->completeAcc(gpuDynInst);
	}

	/**
	* accessor methods for the attributes of
	* the underlying GPU static instruction
	*/
	bool
	GPUDynInst::isALU() const
	{
	return _staticInst->isALU();
	}

	bool
	GPUDynInst::isBranch() const
	{
	return _staticInst->isBranch();
	}

	bool
	GPUDynInst::isCondBranch() const
	{
	return _staticInst->isCondBranch();
	}

	bool
	GPUDynInst::isNop() const
	{
	return _staticInst->isNop();
	}

	bool
	GPUDynInst::isEndOfKernel() const
	{
	return _staticInst->isEndOfKernel();
	}

	bool
	GPUDynInst::isKernelLaunch() const
	{
	return _staticInst->isKernelLaunch();
	}

	bool
	GPUDynInst::isSDWAInst() const
	{
	return _staticInst->isSDWAInst();
	}

	bool
	GPUDynInst::isDPPInst() const
	{
	return _staticInst->isDPPInst();
	}

	bool
	GPUDynInst::isReturn() const
	{
	return _staticInst->isReturn();
	}

	bool
	GPUDynInst::isUnconditionalJump() const
	{
	return _staticInst->isUnconditionalJump();
	}

	bool
	GPUDynInst::isSpecialOp() const
	{
	return _staticInst->isSpecialOp();
	}

	bool
	GPUDynInst::isWaitcnt() const
	{
	return _staticInst->isWaitcnt();
	}

	bool
	GPUDynInst::isSleep() const
	{
	return _staticInst->isSleep();
	}

	bool
	GPUDynInst::isBarrier() const
	{
	return _staticInst->isBarrier();
	}

	bool
	GPUDynInst::isMemSync() const
	{
	return _staticInst->isMemSync();
	}

	bool
	GPUDynInst::isMemRef() const
	{
	return _staticInst->isMemRef();
	}

	bool
	GPUDynInst::isFlat() const
	{
	return _staticInst->isFlat();
	}

	bool
	GPUDynInst::isLoad() const
	{
	return _staticInst->isLoad();
	}

	bool
	GPUDynInst::isStore() const
	{
	return _staticInst->isStore();
	}

	bool
	GPUDynInst::isAtomic() const
	{
	return _staticInst->isAtomic();
	}

	bool
	GPUDynInst::isAtomicNoRet() const
	{
	return _staticInst->isAtomicNoRet();
	}

	bool
	GPUDynInst::isAtomicRet() const
	{
	return _staticInst->isAtomicRet();
	}

	bool
	GPUDynInst::isVector() const
	{
	return !_staticInst->isScalar();
	}

	bool
	GPUDynInst::isScalar() const
	{
	return _staticInst->isScalar();
	}

	bool
	GPUDynInst::readsSCC() const
	{
	return _staticInst->readsSCC();
	}

	bool
	GPUDynInst::writesSCC() const
	{
	return _staticInst->writesSCC();
	}

	bool
	GPUDynInst::readsVCC() const
	{
	for (const auto& srcOp : _staticInst->srcOperands())
	if (srcOp.isVcc())
	return true;

	return _staticInst->readsVCC();
	}

	bool
	GPUDynInst::writesVCC() const
	{
	for (const auto& dstOp : _staticInst->dstOperands())
	if (dstOp.isVcc())
	return true;

	return _staticInst->writesVCC();
	}

	bool
	GPUDynInst::readsMode() const
	{
	return _staticInst->readsMode();
	}

	bool
	GPUDynInst::writesMode() const
	{
	return _staticInst->writesMode();
	}

	bool
	GPUDynInst::readsExec() const
	{
	return _staticInst->readsEXEC();
	}

	bool
	GPUDynInst::writesExec() const
	{
	return _staticInst->writesEXEC();
	}

	bool
	GPUDynInst::ignoreExec() const
	{
	return _staticInst->ignoreExec();
	}

	bool
	GPUDynInst::writesExecMask() const
	{
	for (const auto& dstOp : _staticInst->dstOperands())
	if (dstOp.isExec())
	return true;

	return _staticInst->writesEXEC();
	}

	bool
	GPUDynInst::readsExecMask() const
	{
	for (const auto& srcOp : _staticInst->srcOperands())
	if (srcOp.isExec())
	return true;

	return _staticInst->readsEXEC();
	}

	bool
	GPUDynInst::writesFlatScratch() const
	{
	for (const auto& dstScalarOp : dstScalarRegOperands())
	if (dstScalarOp.isFlatScratch())
	return true;

	return false;
	}

	bool
	GPUDynInst::readsFlatScratch() const
	{
	for (const auto& srcScalarOp : srcScalarRegOperands())
	if (srcScalarOp.isFlatScratch())
	return true;

	return false;
	}

	bool
	GPUDynInst::isAtomicAnd() const
	{
	return _staticInst->isAtomicAnd();
	}

	bool
	GPUDynInst::isAtomicOr() const
	{
	return _staticInst->isAtomicOr();
	}

	bool
	GPUDynInst::isAtomicXor() const
	{
	return _staticInst->isAtomicXor();
	}

	bool
	GPUDynInst::isAtomicCAS() const
	{
	return _staticInst->isAtomicCAS();
	}

	bool GPUDynInst::isAtomicExch() const
	{
	return _staticInst->isAtomicExch();
	}

	bool
	GPUDynInst::isAtomicAdd() const
	{
	return _staticInst->isAtomicAdd();
	}

	bool
	GPUDynInst::isAtomicSub() const
	{
	return _staticInst->isAtomicSub();
	}

	bool
	GPUDynInst::isAtomicInc() const
	{
	return _staticInst->isAtomicInc();
	}

	bool
	GPUDynInst::isAtomicDec() const
	{
	return _staticInst->isAtomicDec();
	}

	bool
	GPUDynInst::isAtomicMax() const
	{
	return _staticInst->isAtomicMax();
	}

	bool
	GPUDynInst::isAtomicMin() const
	{
	return _staticInst->isAtomicMin();
	}

	bool
	GPUDynInst::isArgLoad() const
	{
	return _staticInst->isArgLoad();
	}

	bool
	GPUDynInst::isGlobalMem() const
	{
	return _staticInst->isGlobalMem();
	}

	bool
	GPUDynInst::isLocalMem() const
	{
	return _staticInst->isLocalMem();
	}

	bool
	GPUDynInst::isArgSeg() const
	{
	return _staticInst->isArgSeg();
	}

	bool
	GPUDynInst::isGlobalSeg() const
	{
	return _staticInst->isGlobalSeg();
	}

	bool
	GPUDynInst::isGroupSeg() const
	{
	return _staticInst->isGroupSeg();
	}

	bool
	GPUDynInst::isKernArgSeg() const
	{
	return _staticInst->isKernArgSeg();
	}

	bool
	GPUDynInst::isPrivateSeg() const
	{
	return _staticInst->isPrivateSeg();
	}

	bool
	GPUDynInst::isReadOnlySeg() const
	{
	return _staticInst->isReadOnlySeg();
	}

	bool
	GPUDynInst::isSpillSeg() const
	{
	return _staticInst->isSpillSeg();
	}

	bool
	GPUDynInst::isGloballyCoherent() const
	{
	return _staticInst->isGloballyCoherent();
	}

	bool
	GPUDynInst::isSystemCoherent() const
	{
	return _staticInst->isSystemCoherent();
	}

	bool
	GPUDynInst::isF16() const
	{
	return _staticInst->isF16();
	}

	bool
	GPUDynInst::isF32() const
	{
	return _staticInst->isF32();
	}

	bool
	GPUDynInst::isF64() const
	{
	return _staticInst->isF64();
	}

	bool
	GPUDynInst::isFMA() const
	{
	return _staticInst->isFMA();
	}

	bool
	GPUDynInst::isMAC() const
	{
	return _staticInst->isMAC();
	}

	bool
	GPUDynInst::isMAD() const
	{
	return _staticInst->isMAD();
	}

	void
	GPUDynInst::doApertureCheck(const VectorMask &mask)
	{
	assert(mask.any());
	// find the segment of the first active address, after
	// that we check that all other active addresses also
	// fall within the same APE
	for (int lane = 0; lane < computeUnit()->wfSize(); ++lane) {
	if (mask[lane]) {
	if (computeUnit()->shader->isLdsApe(addr[lane])) {
	// group segment
	staticInstruction()->executed_as = enums::SC_GROUP;
	break;
	} else if (computeUnit()->shader->isScratchApe(addr[lane])) {
	// private segment
	staticInstruction()->executed_as = enums::SC_PRIVATE;
	break;
	} else if (computeUnit()->shader->isGpuVmApe(addr[lane])) {
	// we won't support GPUVM
	fatal("flat access is in GPUVM APE\n");
	} else if (bits(addr[lane], 63, 47) != 0x1FFFF &&
	bits(addr[lane], 63, 47)) {
	// we are in the "hole", this is a memory violation
	fatal("flat access at addr %#x has a memory violation\n",
	addr[lane]);
	} else {
	// global memory segment
	staticInstruction()->executed_as = enums::SC_GLOBAL;
	break;
	}
	}
	}

	// we should have found the segment
	assert(executedAs() != enums::SC_NONE);

	// flat accesses should not straddle multiple APEs so we
	// must check that all addresses fall within the same APE
	if (executedAs() == enums::SC_GROUP) {
	for (int lane = 0; lane < computeUnit()->wfSize(); ++lane) {
	if (mask[lane]) {
	// if the first valid addr we found above was LDS,
	// all the rest should be
	assert(computeUnit()->shader->isLdsApe(addr[lane]));
	}
	}
	} else if (executedAs() == enums::SC_PRIVATE) {
	for (int lane = 0; lane < computeUnit()->wfSize(); ++lane) {
	if (mask[lane]) {
	// if the first valid addr we found above was private,
	// all the rest should be
	assert(computeUnit()->shader->isScratchApe(addr[lane]));
	}
	}
	} else {
	for (int lane = 0; lane < computeUnit()->wfSize(); ++lane) {
	if (mask[lane]) {
	// if the first valid addr we found above was global,
	// all the rest should be. because we don't have an
	// explicit range of the global segment, we just make
	// sure that the address fall in no other APE and that
	// it is not a memory violation
	assert(!computeUnit()->shader->isLdsApe(addr[lane]));
	assert(!computeUnit()->shader->isScratchApe(addr[lane]));
	assert(!computeUnit()->shader->isGpuVmApe(addr[lane]));
	assert(!(bits(addr[lane], 63, 47) != 0x1FFFF
	&& bits(addr[lane], 63, 47)));
	}
	}
	}
	}

	void
	GPUDynInst::resolveFlatSegment(const VectorMask &mask)
	{
	doApertureCheck(mask);


	// Now that we know the aperature, do the following:
	// 1. Transform the flat address to its segmented equivalent.
	// 2. Set the execUnitId based an the aperture check.
	// 3. Decrement any extra resources that were reserved. Other
	// resources are released as normal, below.
	if (executedAs() == enums::SC_GLOBAL) {
	// no transormation for global segment
	wavefront()->execUnitId = wavefront()->flatGmUnitId;
	if (isLoad()) {
	wavefront()->rdLmReqsInPipe--;
	} else if (isStore()) {
	wavefront()->wrLmReqsInPipe--;
	} else if (isAtomic() \|\| isMemSync()) {
	wavefront()->wrLmReqsInPipe--;
	wavefront()->rdLmReqsInPipe--;
	} else {
	panic("Invalid memory operation!\n");
	}
	} else if (executedAs() == enums::SC_GROUP) {
	for (int lane = 0; lane < wavefront()->computeUnit->wfSize(); ++lane) {
	if (mask[lane]) {
	// flat address calculation goes here.
	// addr[lane] = segmented address
	panic("Flat group memory operation is unimplemented!\n");
	}
	}
	wavefront()->execUnitId = wavefront()->flatLmUnitId;
	wavefront()->decVMemInstsIssued();
	if (isLoad()) {
	wavefront()->rdGmReqsInPipe--;
	} else if (isStore()) {
	wavefront()->wrGmReqsInPipe--;
	} else if (isAtomic() \|\| isMemSync()) {
	wavefront()->rdGmReqsInPipe--;
	wavefront()->wrGmReqsInPipe--;
	} else {
	panic("Invalid memory operation!\n");
	}
	} else if (executedAs() == enums::SC_PRIVATE) {
	/**
	* Flat instructions may resolve to the private segment (scratch),
	* which is backed by main memory and provides per-lane scratch
	* memory. Flat addressing uses apertures - registers that specify
	* the address range in the VA space where LDS/private memory is
	* mapped. The value of which is set by the kernel mode driver.
	* These apertures use addresses that are not used by x86 CPUs.
	* When the address of a Flat operation falls into one of the
	* apertures, the Flat operation is redirected to either LDS or
	* to the private memory segment.
	*
	* For private memory the SW runtime will allocate some space in
	* the VA space for each AQL queue. The base address of which is
	* stored in scalar registers per the AMD GPU ABI. The amd_queue_t
	* scratch_backing_memory_location provides the base address in
	* memory for the queue's private segment. Various other fields
	* loaded into register state during kernel launch specify per-WF
	* and per-work-item offsets so that individual lanes may access
	* their private segment allocation.
	*
	* For more details about flat addressing see:
	* http://rocm-documentation.readthedocs.io/en/latest/
	* ROCm_Compiler_SDK/ROCm-Native-ISA.html#flat-scratch
	*
	* https://github.com/ROCm-Developer-Tools/
	* ROCm-ComputeABI-Doc/blob/master/AMDGPU-ABI.md
	* #flat-addressing
	*/

	uint32_t numSgprs = wavefront()->maxSgprs;
	uint32_t physSgprIdx =
	wavefront()->computeUnit->registerManager->mapSgpr(wavefront(),
	numSgprs - 3);
	uint32_t offset =
	wavefront()->computeUnit->srf[simdId]->read(physSgprIdx);
	physSgprIdx =
	wavefront()->computeUnit->registerManager->mapSgpr(wavefront(),
	numSgprs - 4);
	uint32_t size =
	wavefront()->computeUnit->srf[simdId]->read(physSgprIdx);
	for (int lane = 0; lane < wavefront()->computeUnit->wfSize(); ++lane) {
	if (mask[lane]) {
	addr[lane] = addr[lane] + lane * size + offset +
	wavefront()->computeUnit->shader->getHiddenPrivateBase() -
	wavefront()->computeUnit->shader->getScratchBase();
	}
	}
	wavefront()->execUnitId = wavefront()->flatLmUnitId;
	wavefront()->decLGKMInstsIssued();
	if (isLoad()) {
	wavefront()->rdGmReqsInPipe--;
	} else if (isStore()) {
	wavefront()->wrGmReqsInPipe--;
	} else if (isAtomic() \|\| isMemSync()) {
	wavefront()->rdGmReqsInPipe--;
	wavefront()->wrGmReqsInPipe--;
	} else {
	panic("Invalid memory operation!\n");
	}
	} else {
	for (int lane = 0; lane < wavefront()->computeUnit->wfSize(); ++lane) {
	if (mask[lane]) {
	panic("flat addr %#llx maps to bad segment %d\n",
	addr[lane], executedAs());
	}
	}
	}
	}

	TheGpuISA::ScalarRegU32
	GPUDynInst::srcLiteral() const
	{
	return _staticInst->srcLiteral();
	}

	void
	GPUDynInst::updateStats()
	{
	if (_staticInst->isLocalMem()) {
	// access to LDS (shared) memory
	cu->stats.dynamicLMemInstrCnt++;
	} else if (_staticInst->isFlat()) {
	cu->stats.dynamicFlatMemInstrCnt++;
	} else {
	// access to global memory

	// update PageDivergence histogram
	int number_pages_touched = cu->pagesTouched.size();
	assert(number_pages_touched);
	cu->stats.pageDivergenceDist.sample(number_pages_touched);

	std::pair<ComputeUnit::pageDataStruct::iterator, bool> ret;

	for (auto it : cu->pagesTouched) {
	// see if this page has been touched before. if not, this also
	// inserts the page into the table.
	ret = cu->pageAccesses
	.insert(ComputeUnit::pageDataStruct::value_type(it.first,
	std::make_pair(1, it.second)));

	// if yes, then update the stats
	if (!ret.second) {
	ret.first->second.first++;
	ret.first->second.second += it.second;
	}
	}

	cu->pagesTouched.clear();

	// total number of memory instructions (dynamic)
	// Atomics are counted as a single memory instruction.
	// this is # memory instructions per wavefronts, not per workitem
	cu->stats.dynamicGMemInstrCnt++;
	}
	}

	void
	GPUDynInst::profileRoundTripTime(Tick currentTime, int hopId)
	{
	// Only take the first measurement in the case of coalescing
	if (roundTripTime.size() > hopId)
	return;

	roundTripTime.push_back(currentTime);
	}

	void
	GPUDynInst::profileLineAddressTime(Addr addr, Tick currentTime, int hopId)
	{
	if (lineAddressTime.count(addr)) {
	if (lineAddressTime[addr].size() > hopId) {
	return;
	}

	lineAddressTime[addr].push_back(currentTime);
	} else if (hopId == 0) {
	auto addressTimeVec = std::vector<Tick> { currentTime };
	lineAddressTime.insert(std::make_pair(addr, addressTimeVec));
	}
	}