Unverified Commit 67f5644d authored by Anton Gorenko's avatar Anton Gorenko
Browse files

Optimize computeNonbonded

* All AMD GPUs support shuffle, double precision and 64-bit int atomics;
* Remove unused code: !ENABLE_SHUFFLE code paths in nonbonded.hip;
* Use intrinsics in single-precision;
* Use realToFixedPoint (faster float32-to-int64);
* Remove shared atomIndices, use shuffles;
* Check early if atoms are in the cutoff range, sometimes all lanes in
  a warp can skip computations, single pairs can also skip useless
  atomics with zero values;
* Remove volatile skipTiles access, use shuffles;
* Distribute work for warps in a strided order;
* Skip warps that may be still busy in the first loop;
* Unify conditions for excluded atoms with `includeInteraction`;
* Move multiprocessors to HipContext;
* Increase number of warps for computeNonbonded;
* Disable packed math for >=MI200 (it affects performance of some
  kernels like computeGKForces of amoebagk);
* Remove defaultOptimizationOptions and createModule's optimizationFlags
  as they are never used;
* Support -save-temps.
parent 7279c539
......@@ -60,7 +60,7 @@
#include "openmm/common/ComputeContext.h"
#include "openmm/Kernel.h"
typedef unsigned long tileflags;
typedef unsigned int tileflags;
namespace OpenMM {
......@@ -259,19 +259,15 @@ public:
* Create a HIP module from source code.
*
* @param source the source code of the module
* @param optimizationFlags the optimization flags to pass to the HIP compiler. If this is
* omitted, a default set of options will be used
*/
hipModule_t createModule(const std::string source, const char* optimizationFlags = NULL);
hipModule_t createModule(const std::string source);
/**
* Create a HIP module from source code.
*
* @param source the source code of the module
* @param defines a set of preprocessor definitions (name, value) to define when compiling the program
* @param optimizationFlags the optimization flags to pass to the HIP compiler. If this is
* omitted, a default set of options will be used
*/
hipModule_t createModule(const std::string source, const std::map<std::string, std::string>& defines, const char* optimizationFlags = NULL);
hipModule_t createModule(const std::string source, const std::map<std::string, std::string>& defines);
/**
* Get a kernel from a HIP module.
*
......@@ -358,22 +354,22 @@ public:
return simdWidth;
}
/**
* Get whether the device being used warp shuffles.
* Get the number of multiprocessors (compute units) of the device being used.
*/
bool getSupportsWarpShuffle() const {
return hasWarpShuffle;
int getMultiprocessors() const {
return multiprocessors;
}
/**
* Get whether the device being used supports 64 bit atomic operations on global memory.
*/
bool getSupports64BitGlobalAtomics() const {
return hasGlobalInt64Atomics;
return true;
}
/**
* Get whether the device being used supports double precision math.
*/
bool getSupportsDoublePrecision() const {
return hasDoubles;
return true;
}
/**
* Get whether double precision is being used.
......@@ -555,16 +551,13 @@ private:
int numAtomBlocks;
int numThreadBlocks;
int simdWidth;
int multiprocessors;
int sharedMemPerBlock;
bool hasDoubles;
bool hasGlobalInt64Atomics;
bool hasWarpShuffle;
bool useBlockingSync, useDoublePrecision, useMixedPrecision, contextIsValid, boxIsTriclinic, hasCompilerKernel, isHipccAvailable, hasAssignedPosqCharges;
bool isLinkedContext;
std::string compiler, tempDir, cacheDir, gpuArchitecture;
float4 periodicBoxVecXFloat, periodicBoxVecYFloat, periodicBoxVecZFloat, periodicBoxSizeFloat, invPeriodicBoxSizeFloat;
double4 periodicBoxVecX, periodicBoxVecY, periodicBoxVecZ, periodicBoxSize, invPeriodicBoxSize;
std::string defaultOptimizationOptions;
std::map<std::string, std::string> compilationDefines;
hipDevice_t device;
hipStream_t currentStream;
......
......@@ -69,8 +69,7 @@ using namespace OpenMM;
using namespace std;
const int HipContext::ThreadBlockSize = 64;
const int HipContext::TileSize = sizeof(tileflags)*8;
static_assert(HipContext::ThreadBlockSize == HipContext::TileSize);
const int HipContext::TileSize = 32;
bool HipContext::hasInitializedHip = false;
......@@ -136,7 +135,6 @@ HipContext::HipContext(const System& system, int deviceIndex, bool useBlockingSy
for (int i = 0; i < static_cast<int>(devicePrecedence.size()); i++) {
int trialDeviceIndex = devicePrecedence[i];
CHECK_RESULT(hipDeviceGet(&device, trialDeviceIndex));
defaultOptimizationOptions = "-ffast-math -Wall";
// try setting device
if (hipSetDevice(device) == hipSuccess) {
// and set flags
......@@ -172,10 +170,6 @@ HipContext::HipContext(const System& system, int deviceIndex, bool useBlockingSy
// set device properties
this->simdWidth = props.warpSize;
this->sharedMemPerBlock = props.sharedMemPerBlock;
this->hasGlobalInt64Atomics = props.arch.hasGlobalInt64Atomics;
this->hasDoubles = props.arch.hasDoubles;
// HIP-TODO: remove hasWarpShuffle==false paths completely?
this->hasWarpShuffle = true;
gpuArchitecture = props.gcnArchName;
// HIP-TODO: find a good value here
......@@ -195,19 +189,15 @@ HipContext::HipContext(const System& system, int deviceIndex, bool useBlockingSy
numAtoms = system.getNumParticles();
paddedNumAtoms = TileSize*((numAtoms+TileSize-1)/TileSize);
numAtomBlocks = (paddedNumAtoms+(TileSize-1))/TileSize;
int multiprocessors;
CHECK_RESULT(hipDeviceGetAttribute(&multiprocessors, hipDeviceAttributeMultiprocessorCount, device));
// For RDNA GPUs hipDeviceAttributeMultiprocessorCount means WGP (work-group processors, two compute units), not CUs.
if (simdWidth == 32)
multiprocessors *= 2;
numThreadBlocks = numThreadBlocksPerComputeUnit*multiprocessors;
// GCN hardware is more like CUDA-8, w/ no independent forward progress
// or *_sync primatives
compilationDefines["SYNC_WARPS"] = "";
compilationDefines["SHFL(var, srcLane)"] = "__shfl(var, srcLane);";
// Important: the predicate for ballot is defined as an integer, hence
// it is important that we convert the variable field to a true/false value
// before running ballot, such that we do not discard the top half when
// running on a long int
compilationDefines["BALLOT(var)"] = "__ballot((var) != 0);";
compilationDefines["USE_HIP"] = "1";
if (simdWidth == 32)
compilationDefines["AMD_RDNA"] = "1";
if (useDoublePrecision) {
posq.initialize<double4>(*this, paddedNumAtoms, "posq");
velm.initialize<double4>(*this, paddedNumAtoms, "velm");
......@@ -263,11 +253,11 @@ HipContext::HipContext(const System& system, int deviceIndex, bool useBlockingSy
// Set defines based on the requested precision.
compilationDefines["SQRT"] = useDoublePrecision ? "sqrt" : "sqrtf";
compilationDefines["RSQRT"] = useDoublePrecision ? "rsqrt" : "rsqrtf";
compilationDefines["RECIP"] = useDoublePrecision ? "1.0/" : "1.0f/";
compilationDefines["EXP"] = useDoublePrecision ? "exp" : "expf";
compilationDefines["LOG"] = useDoublePrecision ? "log" : "logf";
compilationDefines["SQRT"] = useDoublePrecision ? "sqrt" : "__fsqrt_rn";
compilationDefines["RSQRT"] = useDoublePrecision ? "rsqrt" : "__frsqrt_rn";
compilationDefines["RECIP(x)"] = useDoublePrecision ? "(1.0/(x))" : "(1.0f/(x))";
compilationDefines["EXP"] = useDoublePrecision ? "exp" : "__expf";
compilationDefines["LOG"] = useDoublePrecision ? "log" : "__logf";
compilationDefines["POW"] = useDoublePrecision ? "pow" : "powf";
compilationDefines["COS"] = useDoublePrecision ? "cos" : "cosf";
compilationDefines["SIN"] = useDoublePrecision ? "sin" : "sinf";
......@@ -423,14 +413,22 @@ void HipContext::setAsCurrent() {
hipSetDevice(device);
}
hipModule_t HipContext::createModule(const string source, const char* optimizationFlags) {
return createModule(source, map<string, string>(), optimizationFlags);
hipModule_t HipContext::createModule(const string source) {
return createModule(source, map<string, string>());
}
hipModule_t HipContext::createModule(const string source, const map<string, string>& defines, const char* optimizationFlags) {
static_assert(8*sizeof(void*) == HipContext::TileSize);
hipModule_t HipContext::createModule(const string source, const map<string, string>& defines) {
const char* saveTempsEnv = getenv("OPENMM_SAVE_TEMPS");
bool saveTemps = saveTempsEnv != nullptr;
string bits = intToString(8*sizeof(void*));
string options = (optimizationFlags == NULL ? defaultOptimizationOptions : string(optimizationFlags));
string options = "-ffast-math -Wall";
if (gpuArchitecture.find("gfx90a") == 0 ||
gpuArchitecture.find("gfx94") == 0) {
// HIP-TODO: Remove it when the compiler does a better job
// Disable SLP vectorization as it may generate unoptimal packed math instructions on
// >=MI200 (gfx90a, gfx942): more v_mov, higher register usage etc.
options += " -fno-slp-vectorize";
}
if (getMaxThreadBlockSize() < 1024) {
options += " --gpu-max-threads-per-block=" + std::to_string(getMaxThreadBlockSize());
}
......@@ -478,9 +476,7 @@ hipModule_t HipContext::createModule(const string source, const map<string, stri
src << "typedef float3 mixed3;\n";
src << "typedef float4 mixed4;\n";
}
src << "typedef unsigned long tileflags;\n";
src << "static_assert(sizeof(tileflags)*8==" << HipContext::TileSize << ",\"tileflags size does not match TILE_SIZE\");\n";
src << "typedef unsigned int tileflags;\n";
src << HipKernelSources::common << endl;
for (auto& pair : defines) {
src << "#define " << pair.first;
......@@ -490,6 +486,7 @@ hipModule_t HipContext::createModule(const string source, const map<string, stri
}
if (!defines.empty())
src << endl;
src << HipKernelSources::intrinsics << endl;
src << source << endl;
// See whether we already have PTX for this kernel cached.
......@@ -499,12 +496,12 @@ hipModule_t HipContext::createModule(const string source, const map<string, stri
sha1.Final();
UINT_8 hash[20];
sha1.GetHash(hash);
stringstream cacheFile;
cacheFile << cacheDir;
cacheFile.flags(ios::hex);
stringstream cacheHash;
cacheHash.flags(ios::hex);
for (int i = 0; i < 20; i++)
cacheFile << setw(2) << setfill('0') << (int) hash[i];
cacheFile << '_' << gpuArchitecture << '_' << bits;
cacheHash << setw(2) << setfill('0') << (int) hash[i];
stringstream cacheFile;
cacheFile << cacheDir << cacheHash.str() << '_' << gpuArchitecture << '_' << bits;
hipModule_t module;
if (hipModuleLoad(&module, cacheFile.str().c_str()) == hipSuccess)
return module;
......@@ -512,11 +509,22 @@ hipModule_t HipContext::createModule(const string source, const map<string, stri
// Select names for the various temporary files.
stringstream tempFileName;
tempFileName << "openmmTempKernel" << this; // Include a pointer to this context as part of the filename to avoid collisions.
tempFileName << "_" << getpid();
string inputFile = (tempDir+tempFileName.str()+".hip.cpp");
string outputFile = (tempDir+tempFileName.str()+".hsaco");
string logFile = (tempDir+tempFileName.str()+".log");
if (saveTemps) {
tempFileName << saveTempsEnv;
const char* saveTempsPrefixEnv = getenv("OPENMM_SAVE_TEMPS_PREFIX");
if (saveTempsPrefixEnv) {
tempFileName << saveTempsPrefixEnv;
}
tempFileName << cacheHash.str();
}
else {
tempFileName << tempDir;
tempFileName << "openmmTempKernel" << this; // Include a pointer to this context as part of the filename to avoid collisions.
tempFileName << "_" << getpid();
}
string inputFile = (tempFileName.str()+".hip.cpp");
string outputFile = (tempFileName.str()+".hsaco");
string logFile = (tempFileName.str()+".log");
int res = 0;
// If the runtime compiler plugin is available, use it.
......@@ -550,7 +558,7 @@ hipModule_t HipContext::createModule(const string source, const map<string, stri
ofstream out(inputFile.c_str());
out << src.str();
out.close();
string command = compiler + " --genco --amdgpu-target=" + gpuArchitecture + " " + options + " -o \""+outputFile+"\" " + " \""+inputFile+"\" 2> \""+logFile+"\"";
string command = compiler + " --genco --amdgpu-target=" + gpuArchitecture + " " + options + (saveTemps ? " -save-temps=obj" : "") +" -o \""+outputFile+"\" " + " \""+inputFile+"\" 2> \""+logFile+"\"";
res = std::system(command.c_str());
}
try {
......@@ -576,20 +584,16 @@ hipModule_t HipContext::createModule(const string source, const map<string, stri
m<<"Error loading HIP module: "<<getErrorString(result)<<" ("<<result<<")";
throw OpenMMException(m.str());
}
const char* save = getenv("OPENMM_SAVE_TEMPS");
bool savetemps = save != nullptr;
if (!savetemps) {
if (!saveTemps) {
remove(inputFile.c_str());
remove(logFile.c_str());
}
if (rename(outputFile.c_str(), cacheFile.str().c_str()) != 0 && !savetemps)
if (rename(outputFile.c_str(), cacheFile.str().c_str()) != 0 && !saveTemps)
remove(outputFile.c_str());
return module;
}
catch (...) {
const char* save = getenv("OPENMM_SAVE_TEMPS");
bool savetemps = save != nullptr;
if (!savetemps) {
if (!saveTemps) {
remove(inputFile.c_str());
remove(outputFile.c_str());
remove(logFile.c_str());
......
......@@ -69,12 +69,10 @@ HipNonbondedUtilities::HipNonbondedUtilities(HipContext& context) : context(cont
// Decide how many thread blocks to use.
string errorMessage = "Error initializing nonbonded utilities";
int multiprocessors;
CHECK_RESULT(hipDeviceGetAttribute(&multiprocessors, hipDeviceAttributeMultiprocessorCount, context.getDevice()));
CHECK_RESULT(hipEventCreateWithFlags(&downloadCountEvent, 0));
CHECK_RESULT(hipHostMalloc((void**) &pinnedCountBuffer, 2*sizeof(int), hipHostMallocPortable));
numForceThreadBlocks = 4*multiprocessors;
forceThreadBlockSize = (256);
CHECK_RESULT(hipEventCreateWithFlags(&downloadCountEvent, context.getEventFlags()));
CHECK_RESULT(hipHostMalloc((void**) &pinnedCountBuffer, 2*sizeof(unsigned int), hipHostMallocPortable));
numForceThreadBlocks = 5*4*context.getMultiprocessors();
forceThreadBlockSize = 64;
setKernelSource(HipKernelSources::nonbonded);
}
......@@ -234,7 +232,7 @@ void HipNonbondedUtilities::initialize(const System& system) {
// Record the exclusion data.
exclusions.initialize<tileflags>(context, tilesWithExclusions.size()*HipContext::TileSize, "exclusions");
tileflags allFlags = static_cast<tileflags>(-1);
tileflags allFlags = (tileflags) -1;
vector<tileflags> exclusionVec(exclusions.getSize(), allFlags);
for (int atom1 = 0; atom1 < (int) atomExclusions.size(); ++atom1) {
int x = atom1/HipContext::TileSize;
......@@ -245,11 +243,11 @@ void HipNonbondedUtilities::initialize(const System& system) {
int offset2 = atom2-y*HipContext::TileSize;
if (x > y) {
int index = exclusionTileMap[make_pair(x, y)]*HipContext::TileSize;
exclusionVec[index+offset1] &= allFlags-(static_cast<tileflags>(1)<<offset2);
exclusionVec[index+offset1] &= allFlags-(1<<offset2);
}
else {
int index = exclusionTileMap[make_pair(y, x)]*HipContext::TileSize;
exclusionVec[index+offset2] &= allFlags-(static_cast<tileflags>(1)<<offset1);
exclusionVec[index+offset2] &= allFlags-(1<<offset1);
}
}
}
......@@ -413,7 +411,7 @@ void HipNonbondedUtilities::computeInteractions(int forceGroups, bool includeFor
hipFunction_t& kernel = (includeForces ? (includeEnergy ? kernels.forceEnergyKernel : kernels.forceKernel) : kernels.energyKernel);
if (kernel == NULL)
kernel = createInteractionKernel(kernels.source, parameters, arguments, true, true, forceGroups, includeForces, includeEnergy);
context.executeKernel(kernel, &forceArgs[0], numForceThreadBlocks*forceThreadBlockSize, forceThreadBlockSize);
context.executeKernelFlat(kernel, &forceArgs[0], numForceThreadBlocks*forceThreadBlockSize, forceThreadBlockSize);
}
if (useCutoff && numTiles > 0) {
hipEventSynchronize(downloadCountEvent);
......@@ -445,7 +443,7 @@ bool HipNonbondedUtilities::updateNeighborListSize() {
findInteractingBlocksArgs[7] = &interactingAtoms.getDevicePointer();
}
if (pinnedCountBuffer[1] > maxSinglePairs) {
maxSinglePairs = (int) (1.2*pinnedCountBuffer[1]);
maxSinglePairs = (unsigned int) (1.2*pinnedCountBuffer[1]);
singlePairs.resize(maxSinglePairs);
if (forceArgs.size() > 0)
forceArgs[19] = &singlePairs.getDevicePointer();
......@@ -512,18 +510,6 @@ hipFunction_t HipNonbondedUtilities::createInteractionKernel(const string& sourc
map<string, string> replacements;
replacements["COMPUTE_INTERACTION"] = source;
const string suffixes[] = {"x", "y", "z", "w"};
stringstream localData;
int localDataSize = 0;
for (const ParameterInfo& param : params) {
if (param.getNumComponents() == 1)
localData<<param.getType()<<" "<<param.getName()<<";\n";
else {
for (int j = 0; j < param.getNumComponents(); ++j)
localData<<param.getComponentType()<<" "<<param.getName()<<"_"<<suffixes[j]<<";\n";
}
localDataSize += param.getSize();
}
replacements["ATOM_PARAMETER_DATA"] = localData.str();
stringstream args;
for (const ParameterInfo& param : params) {
args << ", ";
......@@ -556,101 +542,43 @@ hipFunction_t HipNonbondedUtilities::createInteractionKernel(const string& sourc
}
replacements["LOAD_ATOM1_PARAMETERS"] = load1.str();
bool useShuffle = context.getSupportsWarpShuffle();
// Part 1. Defines for on diagonal exclusion tiles
stringstream loadLocal1;
if(useShuffle) {
// not needed if using shuffles as we can directly fetch from register
} else {
for (const ParameterInfo& param : params) {
if (param.getNumComponents() == 1)
loadLocal1<<"localData[LOCAL_ID]."<<param.getName()<<" = "<<param.getName()<<"1;\n";
else {
for (int j = 0; j < param.getNumComponents(); ++j)
loadLocal1<<"localData[LOCAL_ID]."<<param.getName()<<"_"<<suffixes[j]<<" = "<<param.getName()<<"1."<<suffixes[j]<<";\n";
}
}
}
replacements["LOAD_LOCAL_PARAMETERS_FROM_1"] = loadLocal1.str();
stringstream broadcastWarpData;
if (useShuffle) {
broadcastWarpData << "posq2.x = real_shfl(shflPosq.x, j);\n";
broadcastWarpData << "posq2.y = real_shfl(shflPosq.y, j);\n";
broadcastWarpData << "posq2.z = real_shfl(shflPosq.z, j);\n";
broadcastWarpData << "posq2.w = real_shfl(shflPosq.w, j);\n";
for (const ParameterInfo& param : params) {
broadcastWarpData << param.getType() << " shfl" << param.getName() << ";\n";
for (int j = 0; j < param.getNumComponents(); j++) {
if (param.getNumComponents() == 1)
broadcastWarpData << "shfl" << param.getName() << "=real_shfl(" << param.getName() <<"1,j);\n";
else
broadcastWarpData << "shfl" << param.getName()+"."+suffixes[j] << "=real_shfl(" << param.getName()+"1."+suffixes[j] <<",j);\n";
}
broadcastWarpData << "posq2.x = SHFL(shflPosq.x, j);\n";
broadcastWarpData << "posq2.y = SHFL(shflPosq.y, j);\n";
broadcastWarpData << "posq2.z = SHFL(shflPosq.z, j);\n";
broadcastWarpData << "posq2.w = SHFL(shflPosq.w, j);\n";
for (const ParameterInfo& param : params) {
broadcastWarpData << param.getType() << " shfl" << param.getName() << ";\n";
for (int j = 0; j < param.getNumComponents(); j++) {
if (param.getNumComponents() == 1)
broadcastWarpData << "shfl" << param.getName() << "=SHFL(" << param.getName() <<"1,j);\n";
else
broadcastWarpData << "shfl" << param.getName()+"."+suffixes[j] << "=SHFL(" << param.getName()+"1."+suffixes[j] <<",j);\n";
}
} else {
// not used if not shuffling
}
replacements["BROADCAST_WARP_DATA"] = broadcastWarpData.str();
// Part 2. Defines for off-diagonal exclusions, and neighborlist tiles.
stringstream declareLocal2;
if (useShuffle) {
for (const ParameterInfo& param : params)
declareLocal2<<param.getType()<<" shfl"<<param.getName()<<";\n";
}
else {
// not used if using shared memory
}
for (const ParameterInfo& param : params)
declareLocal2<<param.getType()<<" shfl"<<param.getName()<<";\n";
replacements["DECLARE_LOCAL_PARAMETERS"] = declareLocal2.str();
stringstream loadLocal2;
if (useShuffle) {
for (const ParameterInfo& param : params)
loadLocal2<<"shfl"<<param.getName()<<" = global_"<<param.getName()<<"[j];\n";
}
else {
for (const ParameterInfo& param : params) {
if (param.getNumComponents() == 1)
loadLocal2<<"localData[LOCAL_ID]."<<param.getName()<<" = global_"<<param.getName()<<"[j];\n";
else {
loadLocal2<<param.getType()<<" temp_"<<param.getName()<<" = global_"<<param.getName()<<"[j];\n";
for (int j = 0; j < param.getNumComponents(); ++j)
loadLocal2<<"localData[LOCAL_ID]."<<param.getName()<<"_"<<suffixes[j]<<" = temp_"<<param.getName()<<"."<<suffixes[j]<<";\n";
}
}
}
for (const ParameterInfo& param : params)
loadLocal2<<"shfl"<<param.getName()<<" = global_"<<param.getName()<<"[j];\n";
replacements["LOAD_LOCAL_PARAMETERS_FROM_GLOBAL"] = loadLocal2.str();
stringstream load2j;
if (useShuffle) {
for (const ParameterInfo& param : params)
load2j<<param.getType()<<" "<<param.getName()<<"2 = shfl"<<param.getName()<<";\n";
}
else {
for (const ParameterInfo& param : params) {
if (param.getNumComponents() == 1)
load2j<<param.getType()<<" "<<param.getName()<<"2 = localData[atom2]."<<param.getName()<<";\n";
else {
load2j<<param.getType()<<" "<<param.getName()<<"2 = make_"<<param.getType()<<"(";
for (int j = 0; j < param.getNumComponents(); ++j) {
if (j > 0)
load2j<<", ";
load2j<<"localData[atom2]."<<param.getName()<<"_"<<suffixes[j];
}
load2j<<");\n";
}
}
}
for (const ParameterInfo& param : params)
load2j<<param.getType()<<" "<<param.getName()<<"2 = shfl"<<param.getName()<<";\n";
replacements["LOAD_ATOM2_PARAMETERS"] = load2j.str();
stringstream clearLocal;
for (const ParameterInfo& param : params) {
if (useShuffle)
clearLocal<<"shfl";
else
clearLocal<<"localData[atom2].";
clearLocal<<"shfl";
clearLocal<<param.getName()<<" = ";
if (param.getNumComponents() == 1)
clearLocal<<"0;\n";
......@@ -673,29 +601,10 @@ hipFunction_t HipNonbondedUtilities::createInteractionKernel(const string& sourc
replacements["SAVE_DERIVATIVES"] = saveDerivs.str();
stringstream shuffleWarpData;
if(useShuffle) {
shuffleWarpData << "shflPosq.x = real_shfl(shflPosq.x, tgx+1);\n";
shuffleWarpData << "shflPosq.y = real_shfl(shflPosq.y, tgx+1);\n";
shuffleWarpData << "shflPosq.z = real_shfl(shflPosq.z, tgx+1);\n";
shuffleWarpData << "shflPosq.w = real_shfl(shflPosq.w, tgx+1);\n";
shuffleWarpData << "shflForce.x = real_shfl(shflForce.x, tgx+1);\n";
shuffleWarpData << "shflForce.y = real_shfl(shflForce.y, tgx+1);\n";
shuffleWarpData << "shflForce.z = real_shfl(shflForce.z, tgx+1);\n";
for (const ParameterInfo& param : params) {
if (param.getNumComponents() == 1)
shuffleWarpData<<"shfl"<<param.getName()<<"=real_shfl(shfl"<<param.getName()<<", tgx+1);\n";
else {
for (int j = 0; j < param.getNumComponents(); j++) {
// looks something like shflsigmaEpsilon.x = real_shfl(shflsigmaEpsilon.x,tgx+1);
shuffleWarpData<<"shfl"<<param.getName()
<<"."<<suffixes[j]<<"=real_shfl(shfl"
<<param.getName()<<"."<<suffixes[j]
<<", tgx+1);\n";
}
}
}
} else {
// not used otherwise
shuffleWarpData << "shflPosq = warpRotateLeft<TILE_SIZE>(shflPosq);\n";
shuffleWarpData << "shflForce = warpRotateLeft<TILE_SIZE>(shflForce);\n";
for (const ParameterInfo& param : params) {
shuffleWarpData<<"shfl"<<param.getName()<<"=warpRotateLeft<TILE_SIZE>(shfl"<<param.getName()<<");\n";
}
replacements["SHUFFLE_WARP_DATA"] = shuffleWarpData.str();
......@@ -708,8 +617,7 @@ hipFunction_t HipNonbondedUtilities::createInteractionKernel(const string& sourc
defines["USE_EXCLUSIONS"] = "1";
if (isSymmetric)
defines["USE_SYMMETRIC"] = "1";
if (useShuffle)
defines["ENABLE_SHUFFLE"] = "1";
defines["ENABLE_SHUFFLE"] = "1"; // Used only in hippoNonbonded.cc
if (includeForces)
defines["INCLUDE_FORCES"] = "1";
if (includeEnergy)
......@@ -725,6 +633,7 @@ hipFunction_t HipNonbondedUtilities::createInteractionKernel(const string& sourc
}
}
defines["MAX_CUTOFF"] = context.doubleToString(maxCutoff);
defines["MAX_CUTOFF_SQUARED"] = context.doubleToString(maxCutoff*maxCutoff);
defines["NUM_ATOMS"] = context.intToString(context.getNumAtoms());
defines["PADDED_NUM_ATOMS"] = context.intToString(context.getPaddedNumAtoms());
defines["NUM_BLOCKS"] = context.intToString(context.getNumAtomBlocks());
......@@ -736,8 +645,6 @@ hipFunction_t HipNonbondedUtilities::createInteractionKernel(const string& sourc
int endExclusionIndex = (context.getContextIndex()+1)*numExclusionTiles/numContexts;
defines["FIRST_EXCLUSION_TILE"] = context.intToString(startExclusionIndex);
defines["LAST_EXCLUSION_TILE"] = context.intToString(endExclusionIndex);
if ((localDataSize/4)%2 == 0 && !context.getUseDoublePrecision())
defines["PARAMETER_SIZE_IS_EVEN"] = "1";
hipModule_t program = context.createModule(HipKernelSources::vectorOps+context.replaceStrings(kernelSource, replacements), defines);
hipFunction_t kernel = context.getKernel(program, "computeNonbonded");
return kernel;
......
......@@ -16,11 +16,36 @@
#define GROUP_ID blockIdx.x
#define NUM_GROUPS gridDim.x
#define SYNC_THREADS __syncthreads();
#define SYNC_WARPS {__builtin_amdgcn_wave_barrier(); __builtin_amdgcn_fence(__ATOMIC_ACQ_REL, "wavefront");}
#define MEM_FENCE __threadfence_block();
#define ATOMIC_ADD(dest, value) atomicAdd(dest, value)
typedef long long mm_long;
typedef unsigned long long mm_ulong;
#define SUPPORTS_64_BIT_ATOMICS __HIP_ARCH_HAS_GLOBAL_INT64_ATOMICS__
#define SUPPORTS_DOUBLE_PRECISION __HIP_ARCH_HAS_DOUBLES__
#define SUPPORTS_DOUBLE_PRECISION 1
#ifdef USE_DOUBLE_PRECISION
__device__ inline long long realToFixedPoint(double x) {
return static_cast<long long>(x * 0x100000000);
}
#else
__device__ inline long long realToFixedPoint(float x) {
// Faster way to calculate static_cast<long long>(x * 0x100000000) with exactly the same
// results but less instructions.
float integral = truncf(x);
float fractional = (x - integral) * 0x100000000;
unsigned int integral_u32 = static_cast<int>(integral);
unsigned int fractional_u32 = static_cast<unsigned int>(fabsf(fractional));
// A negative real number (with non-zero fractional) needs rounding-down x for integral and
// changing fractional's sign. However, -1 is used as a threshold instead of 0 because, when
// fractional is in (-1; 0], fractional_u32 is 0 and the number is considered an integer.
bool isNegReal = fractional <= -1.0f;
return (static_cast<unsigned long long>(isNegReal ? integral_u32 - 1 : integral_u32) << 32) |
static_cast<unsigned long long>(isNegReal ? 0 - fractional_u32 : fractional_u32);
}
#endif
/**
* This file contains the device function for using cross-lane operations (ballot and shuffle)
*/
#if defined(TILE_SIZE)
#if !defined(AMD_RDNA)
// Two subwarps per warp
#define SHFL(var, srcLane) __shfl(var, (srcLane) & (TILE_SIZE - 1), TILE_SIZE)
#define BALLOT(var) (unsigned int)(__ballot(var) >> (threadIdx.x & ((64 - 1) ^ (TILE_SIZE - 1))))
#else
#define SHFL(var, srcLane) __shfl(var, srcLane)
#define BALLOT(var) __ballot(var)
#endif
#endif
template<class T>
static __inline__ __device__
T warpShuffle(const T& input, const int src_lane) {
static_assert(sizeof(T) % sizeof(int) == 0, "incorrect type size");
constexpr int words_no = sizeof(T) / sizeof(int);
T output;
#pragma unroll
for(int i = 0; i < words_no; i++) {
int word;
__builtin_memcpy(&word, reinterpret_cast<const char*>(&input) + i * sizeof(int), sizeof(int));
word = __builtin_amdgcn_ds_bpermute(src_lane << 2, word);
__builtin_memcpy(reinterpret_cast<char*>(&output) + i * sizeof(int), &word, sizeof(int));
}
return output;
}
template<int Subwarp, class T>
static __inline__ __device__
typename std::enable_if<(Subwarp == warpSize), T>::type
warpRotateLeft(const T& input) {
return warpShuffle(input, threadIdx.x + 1);
}
template<int Subwarp, class T>
static __inline__ __device__
typename std::enable_if<!(Subwarp == warpSize), T>::type
warpRotateLeft(const T& input) {
return warpShuffle(input, ((threadIdx.x + 1) & (Subwarp - 1)) | (threadIdx.x & ~(Subwarp - 1)));
}
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