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Commit eee9dfd8 authored by Uldis Locans's avatar Uldis Locans
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seperate OPAL DKS functions from base

parent 7c7c2e24
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Showing with 520 additions and 557 deletions
src/DKSBase.cpp
View file @ eee9dfd8
......@@ -103,17 +103,14 @@ DKSBase::DKSBase() {
#ifdef DKS_CUDA
cbase = new CudaBase();
cchi = new CudaChiSquare(cbase);
#endif
ls#ifdef DKS_OPENCL
#ifdef DKS_OPENCL
oclbase = new OpenCLBase();
oclchi = new OpenCLChiSquare(oclbase);
#endif
#ifdef DKS_MIC
micbase = new MICBase();
micchi = new MICChiSquare(micbase);
#endif
}
......@@ -157,10 +154,6 @@ DKSBase::~DKSBase() {
if (m_function_name != NULL)
delete[] m_function_name;
delete dksfft;
delete dkscol;
delete dksgreens;
#ifdef DKS_CUDA
delete cchi;
delete cbase;
......@@ -287,37 +280,7 @@ int DKSBase::getDeviceList(std::vector<int> &devices) {
return DKS_ERROR;
}
int DKSBase::setup() {
int ierr = DKS_ERROR;
if (apiOpenCL()) {
ierr = OPENCL_SAFECALL( DKS_SUCCESS );
//TODO: only enable if AMD libraries are available
dksfft = OPENCL_SAFEINIT_AMD( new OpenCLFFT(oclbase) );
dkscol = OPENCL_SAFEINIT_AMD( new OpenCLCollimatorPhysics(oclbase) );
dksgreens = OPENCL_SAFEINIT_AMD( new OpenCLGreensFunction(oclbase) );
} else if (apiCuda()) {
ierr = CUDA_SAFECALL( DKS_SUCCESS );
dksfft = CUDA_SAFEINIT( new CudaFFT(cbase) );
dkscol = CUDA_SAFEINIT( new CudaCollimatorPhysics(cbase) );
dksgreens = CUDA_SAFEINIT( new CudaGreensFunction(cbase) );
} else if (apiOpenMP()) {
ierr = MIC_SAFECALL( DKS_SUCCESS );
dksfft = MIC_SAFEINIT( new MICFFT(micbase) );
dkscol = MIC_SAFEINIT( new MICCollimatorPhysics(micbase) );
dksgreens = MIC_SAFEINIT( new MICGreensFunction(micbase) );
} else {
ierr = DKS_ERROR;
}
return ierr;
}
/*
init device
*/
int DKSBase::initDevice() {
int DKSBase::setupDevice() {
int ierr = DKS_ERROR;
......@@ -347,10 +310,15 @@ int DKSBase::initDevice() {
}
}
if (ierr == DKS_SUCCESS)
ierr = setup();
return ierr;
}
/*
init device
*/
int DKSBase::initDevice() {
return setupDevice();
}
/*
......@@ -468,292 +436,16 @@ int DKSBase::syncDevice() {
return DKS_ERROR;
}
/* setup fft plans to reuse if multiple ffts of same size are needed */
int DKSBase::setupFFT(int ndim, int N[3]) {
if (apiCuda()) {
return dksfft->setupFFT(ndim, N);
} else if (apiOpenCL()) {
int ierr1 = dksfft->setupFFT(ndim, N);
int ierr2 = dksfft->setupFFTRC(ndim, N);
int ierr3 = dksfft->setupFFTCR(ndim, N);
if (ierr1 != DKS_SUCCESS || ierr2 != DKS_SUCCESS || ierr3 != DKS_SUCCESS)
return DKS_ERROR;
return DKS_SUCCESS;
} else if (apiOpenMP()) {
//micbase.mic_setupFFT(ndim, N);
//BENI: setting up RC and CR transformations on MIC
int ierr1 = dksfft->setupFFTRC(ndim, N, 1.);
int ierr2 = dksfft->setupFFTCR(ndim, N, 1./(N[0]*N[1]*N[2]));
if (ierr1 != DKS_SUCCESS)
return ierr1;
if (ierr2 != DKS_SUCCESS)
return ierr2;
return DKS_SUCCESS;
}
return DKS_ERROR;
}
//BENI:
int DKSBase::setupFFTRC(int ndim, int N[3], double scale) {
if (apiCuda())
return dksfft->setupFFT(ndim, N);
if (apiOpenCL())
return dksfft->setupFFTRC(ndim, N);
else if (apiOpenMP())
return dksfft->setupFFTRC(ndim, N, scale);
return DKS_ERROR;
}
//BENI:
int DKSBase::setupFFTCR(int ndim, int N[3], double scale) {
int DKSBase::callCreateRandomNumbers(void *mem_ptr, int size) {
if (apiCuda())
return dksfft->setupFFT(ndim, N);
return CUDA_SAFECALL(cbase->cuda_createRandomNumbers(mem_ptr, size));
if (apiOpenCL())
return dksfft->setupFFTCR(ndim, N);
else if (apiOpenMP())
return dksfft->setupFFTCR(ndim, N, scale);
return DKS_ERROR;
}
/* call OpenCL FFT function for selected platform */
int DKSBase::callFFT(void * data_ptr, int ndim, int dimsize[3], int streamId) {
if (apiOpenCL() || apiOpenMP())
return dksfft->executeFFT(data_ptr, ndim, dimsize);
else if (apiCuda())
return dksfft->executeFFT(data_ptr, ndim, dimsize, streamId);
DEBUG_MSG("No implementation for selected platform");
return DKS_ERROR;
}
/* call OpenCL IFFT function for selected platform */
int DKSBase::callIFFT(void * data_ptr, int ndim, int dimsize[3], int streamId) {
if (apiOpenCL() || apiOpenMP())
return dksfft->executeIFFT(data_ptr, ndim, dimsize);
else if (apiCuda())
return dksfft->executeIFFT(data_ptr, ndim, dimsize, streamId);
DEBUG_MSG("No implementation for selected platform");
return DKS_ERROR;
}
/* call normalize FFT function for selected platform */
int DKSBase::callNormalizeFFT(void * data_ptr, int ndim, int dimsize[3], int streamId) {
if (apiOpenCL()) {
if ( loadOpenCLKernel("OpenCL/OpenCLKernels/OpenCLFFT.cl") == DKS_SUCCESS )
return dksfft->normalizeFFT(data_ptr, ndim, dimsize);
else
return DKS_ERROR;
} else if (apiCuda()) {
return dksfft->normalizeFFT(data_ptr, ndim, dimsize, streamId);
} else if (apiOpenMP()) {
return dksfft->normalizeFFT(data_ptr, ndim, dimsize);
}
DEBUG_MSG("No implementation for selected platform");
return DKS_ERROR;
}
/* call real to complex FFT */
int DKSBase::callR2CFFT(void * real_ptr, void * comp_ptr, int ndim, int dimsize[3], int streamId) {
if (apiCuda())
return dksfft->executeRCFFT(real_ptr, comp_ptr, ndim, dimsize, streamId);
else if (apiOpenCL() || apiOpenMP())
return dksfft->executeRCFFT(real_ptr, comp_ptr, ndim, dimsize);
DEBUG_MSG("No implementation for selected platform");
return DKS_ERROR;
}
/* call complex to real FFT */
int DKSBase::callC2RFFT(void * real_ptr, void * comp_ptr, int ndim, int dimsize[3], int streamId) {
if (apiCuda())
return dksfft->executeCRFFT(real_ptr, comp_ptr, ndim, dimsize, streamId);
else if (apiOpenCL() || apiOpenMP())
return dksfft->executeCRFFT(real_ptr, comp_ptr, ndim, dimsize);
DEBUG_MSG("No implementation for selected platform");
return DKS_ERROR;
}
/* normalize complex to real iFFT */
int DKSBase::callNormalizeC2RFFT(void * real_ptr, int ndim, int dimsize[3], int streamId) {
if (apiCuda())
return dksfft->normalizeCRFFT(real_ptr, ndim, dimsize, streamId);
else if (apiOpenCL())
return DKS_ERROR;
else if (apiOpenMP())
return DKS_ERROR;
DEBUG_MSG("No implementation for selected platform");
return DKS_ERROR;
}
int DKSBase::callGreensIntegral(void *tmp_ptr, int I, int J, int K, int NI, int NJ,
double hz_m0, double hz_m1, double hz_m2, int streamId) {
return dksgreens->greensIntegral(tmp_ptr, I, J, K, NI, NJ,
hz_m0, hz_m1, hz_m2, streamId);
}
int DKSBase::callGreensIntegration(void *mem_ptr, void *tmp_ptr,
int I, int J, int K, int streamId) {
return dksgreens->integrationGreensFunction(mem_ptr, tmp_ptr, I, J, K, streamId);
}
int DKSBase::callMirrorRhoField(void *mem_ptr, int I, int J, int K, int streamId) {
return dksgreens->mirrorRhoField(mem_ptr, I, J, K, streamId);
}
int DKSBase::callMultiplyComplexFields(void *mem_ptr1, void *mem_ptr2, int size, int streamId) {
return dksgreens->multiplyCompelxFields(mem_ptr1, mem_ptr2, size, streamId);
}
int DKSBase::callPHistoTFFcn(void *mem_data, void *mem_par, void *mem_chisq,
double fTimeResolution, double fRebin,
int sensors, int length, int numpar, double &result)
{
if (apiCuda()) {
return CUDA_SAFECALL(cchi->cuda_PHistoTFFcn(mem_data, mem_par, mem_chisq,
fTimeResolution, fRebin,
sensors, length, numpar,
result));
} else if (apiOpenCL()) {
if (loadOpenCLKernel("OpenCL/OpenCLKernels/OpenCLChiSquare.cl") == DKS_SUCCESS)
return OPENCL_SAFECALL(oclchi->ocl_PHistoTFFcn(mem_data, mem_par, mem_chisq,
fTimeResolution, fRebin,
sensors, length, numpar, result));
else
return DKS_ERROR;
}
DEBUG_MSG("No implementation for selceted platform");
return DKS_ERROR;
}
int DKSBase::callSingleGaussTF(void *mem_data, void *mem_t0, void *mem_par, void *mem_result,
double fTimeResolution, double fRebin, double fGoodBinOffset,
int sensors, int length, int numpar,
double &result)
{
if (apiCuda()) {
return CUDA_SAFECALL(cchi->cuda_singleGaussTF(mem_data, mem_t0, mem_par, mem_result,
fTimeResolution, fRebin, fGoodBinOffset,
sensors, length, numpar,
result));
} else if (apiOpenCL()) {
if (loadOpenCLKernel("OpenCL/OpenCLKernels/OpenCLChiSquare.cl") == DKS_SUCCESS)
return OPENCL_SAFECALL(oclchi->ocl_singleGaussTF(mem_data, mem_t0, mem_par, mem_result,
fTimeResolution, fRebin, fGoodBinOffset,
sensors, length, numpar, result));
else
return DKS_ERROR;
}
DEBUG_MSG("No implementation for selceted platform");
return DKS_ERROR;
}
return OPENCL_SAFECALL(oclbase->ocl_createRandomNumbers(mem_ptr, size));
int DKSBase::callDoubleLorentzTF(void *mem_data, void *mem_t0, void *mem_par, void *mem_result,
double fTimeResolution, double fRebin, double fGoodBinOffset,
int sensors, int length, int numpar,
double &result)
{
if (apiCuda()) {
return CUDA_SAFECALL(cchi->cuda_doubleLorentzTF(mem_data, mem_t0, mem_par, mem_result,
fTimeResolution, fRebin, fGoodBinOffset,
sensors, length, numpar,
result));
} else if (apiOpenCL()) {
if (loadOpenCLKernel("OpenCL/OpenCLKernels/OpenCLChiSquare.cl") == DKS_SUCCESS)
return OPENCL_SAFECALL(oclchi->ocl_doubleLorentzTF(mem_data, mem_t0, mem_par, mem_result,
fTimeResolution, fRebin, fGoodBinOffset,
sensors, length, numpar, result));
else
return DKS_ERROR;
}
DEBUG_MSG("No implementation for selceted platform");
return DKS_ERROR;
}
int DKSBase::callCollimatorPhysics(void *mem_ptr, void *par_ptr,
int numparticles, int numparams,
int &numaddback, int &numdead)
{
return dkscol->CollimatorPhysics(mem_ptr, par_ptr, numparticles);
}
int DKSBase::callCollimatorPhysics2(void *mem_ptr, void *par_ptr, int numparticles)
{
return dkscol->CollimatorPhysics(mem_ptr, par_ptr, numparticles);
}
int DKSBase::callCollimatorPhysicsSoA(void *label_ptr, void *localID_ptr,
void *rx_ptr, void *ry_ptr, void *rz_ptr,
void *px_ptr, void *py_ptr, void *pz_ptr,
void *par_ptr, int numparticles)
{
return dkscol->CollimatorPhysicsSoA(label_ptr, localID_ptr,
rx_ptr, ry_ptr, rz_ptr,
px_ptr, py_ptr, pz_ptr,
par_ptr, numparticles);
}
int DKSBase::callCollimatorPhysicsSort(void *mem_ptr, int numparticles, int &numaddback)
{
return dkscol->CollimatorPhysicsSort(mem_ptr, numparticles, numaddback);
}
int DKSBase::callCollimatorPhysicsSortSoA(void *label_ptr, void *localID_ptr,
void *rx_ptr, void *ry_ptr, void *rz_ptr,
void *px_ptr, void *py_ptr, void *pz_ptr,
void *par_ptr, int numparticles, int &numaddback)
{
return MIC_SAFECALL(dkscol->CollimatorPhysicsSortSoA(label_ptr, localID_ptr,
rx_ptr, ry_ptr, rz_ptr,
px_ptr, py_ptr, pz_ptr,
par_ptr, numparticles, numaddback));
}
int DKSBase::callInitRandoms(int size) {
if (apiCuda())
return CUDA_SAFECALL(cbase->cuda_createCurandStates(size));
......@@ -766,32 +458,3 @@ int DKSBase::callInitRandoms(int size) {
return DKS_ERROR;
}
int DKSBase::callParallelTTrackerPush(void *r_ptr, void *p_ptr, int npart,
void *dt_ptr, double dt, double c,
bool usedt, int streamId)
{
return dkscol->ParallelTTrackerPush(r_ptr, p_ptr, npart, dt_ptr, dt, c, usedt, streamId);
}
int DKSBase::callParallelTTrackerPushTransform(void *x_ptr, void *p_ptr,
void *lastSec_ptr, void *orient_ptr,
int npart, int nsec, void *dt_ptr, double dt,
double c, bool usedt, int streamId)
{
return dkscol->ParallelTTrackerPushTransform(x_ptr, p_ptr, lastSec_ptr, orient_ptr,
npart, nsec, dt_ptr, dt, c, usedt, streamId);
}
int DKSBase::callCreateRandomNumbers(void *mem_ptr, int size) {
if (apiCuda())
return CUDA_SAFECALL(cbase->cuda_createRandomNumbers(mem_ptr, size));
if (apiOpenCL())
return OPENCL_SAFECALL(oclbase->ocl_createRandomNumbers(mem_ptr, size));
return DKS_ERROR;
}
src/DKSBase.h
View file @ eee9dfd8
......@@ -76,10 +76,6 @@ private:
bool m_auto_tuning;
bool m_use_config;
DKSFFT *dksfft;
DKSCollimatorPhysics *dkscol;
GreensFunction *dksgreens;
#ifdef DKS_OPENCL
OpenCLBase *oclbase;
OpenCLChiSquare *oclchi;
......@@ -140,6 +136,12 @@ protected:
}
#endif
#ifdef DKS_MIC
MICBase *getMICBase() {
return micbase;
}
#endif
/** Call OpenCL base to load specified kenrel file.
*
*/
......@@ -155,10 +157,6 @@ protected:
return device_name;
}
/** Private function to initialize objects based on the device used.
*
*/
int setup();
public:
......@@ -179,6 +177,11 @@ public:
*/
~DKSBase();
/** Function to initialize objects based on the device used.
*
*/
int setupDevice();
/** Turn on auto tuning */
void setAutoTuningOn() { m_auto_tuning = true; }
......@@ -891,184 +894,10 @@ public:
return DKS_ERROR;
}
///////////////////////////////////////////////
///////Function library part of dksbase////////
///////////////////////////////////////////////
/**
* Setup FFT function.
* Initializes parameters for fft executuin. If ndim > 0 initializes handles for fft calls.
* If ffts of various sizes are needed setupFFT should be called with ndim 0, in this case
* each fft will do its own setup according to fft size and dimensions.
* TODO: opencl and mic implementations
*/
int setupFFT(int ndim, int N[3]);
//BENI:
int setupFFTRC(int ndim, int N[3], double scale = 1.0);
//BENI:
int setupFFTCR(int ndim, int N[3], double scale = 1.0);
/**
* Call complex-to-complex fft.
* Executes in place complex to compelx fft on the device on data pointed by data_ptr.
* stream id can be specified to use other streams than default.
* TODO: mic implementation
*/
int callFFT(void * data_ptr, int ndim, int dimsize[3], int streamId = -1);
/**
* Call complex-to-complex ifft.
* Executes in place complex to compelx ifft on the device on data pointed by data_ptr.
* stream id can be specified to use other streams than default.
* TODO: mic implementation.
*/
int callIFFT(void * data_ptr, int ndim, int dimsize[3], int streamId = -1);
/**
* Normalize complex to complex ifft.
* Cuda, mic and OpenCL implementations return ifft unscaled, this function divides each element by
* fft size
* TODO: mic implementation.
*/
int callNormalizeFFT(void * data_ptr, int ndim, int dimsize[3], int streamId = -1);
/**
* Call real to complex FFT.
* Executes out of place real to complex fft, real_ptr points to real data, comp_pt - points
* to complex data, ndim - dimension of data, dimsize size of each dimension. real_ptr size
* should be dimsize[0]*dimsize[1]*disize[2], comp_ptr size should be atleast
* (dimsize[0]/2+1)*dimsize[1]*dimsize[2]
* TODO: opencl and mic implementations
*/
int callR2CFFT(void * real_ptr, void * comp_ptr, int ndim, int dimsize[3], int streamId = -1);
/**
* Call complex to real iFFT.
* Executes out of place complex to real ifft, real_ptr points to real data, comp_pt - points
* to complex data, ndim - dimension of data, dimsize size of each dimension. real_ptr size
* should be dimsize[0]*dimsize[1]*disize[2], comp_ptr size should be atleast
* (dimsize[0]/2+1)*dimsize[1]*dimsize[2]
* TODO: opencl and mic implementations.
*/
int callC2RFFT(void * real_ptr, void * comp_ptr, int ndim, int dimsize[3], int streamId = -1);
/**
* Normalize compelx to real ifft.
* Cuda, mic and OpenCL implementations return ifft unscaled, this function divides each element by
* fft size.
* TODO: opencl and mic implementations.
*/
int callNormalizeC2RFFT(void * real_ptr, int ndim, int dimsize[3], int streamId = -1);
/**
* Integrated greens function from OPAL FFTPoissonsolver.cpp put on device.
* For specifics check OPAL docs.
* TODO: opencl and mic implementations.
*/
int callGreensIntegral(void *tmp_ptr, int I, int J, int K, int NI, int NJ,
double hz_m0, double hz_m1, double hz_m2, int streamId = -1);
/**
* Integrated greens function from OPAL FFTPoissonsolver.cpp put on device.
* For specifics check OPAL docs.
* TODO: opencl and mic implementations.
*/
int callGreensIntegration(void *mem_ptr, void *tmp_ptr,
int I, int J, int K, int streamId = -1);
/**
* Integrated greens function from OPAL FFTPoissonsolver.cpp put on device.
* For specifics check OPAL docs.
* TODO: opencl and mic implementations.
*/
int callMirrorRhoField(void *mem_ptr, int I, int J, int K, int streamId = -1);
/**
* Element by element multiplication.
* Multiplies each element of mem_ptr1 with corresponding element of mem_ptr2, size specifies
* the number of elements in mem_ptr1 and mem_ptr2 to use. Results are put in mem_ptr1.
* TODO: opencl and mic implementations.
*/
int callMultiplyComplexFields(void *mem_ptr1, void *mem_ptr2, int size, int streamId = -1);
/**
* Chi square for parameter fitting on device.
* mem_data - measurement data, mem_par - pointer to parameter set, mem_chisq - pointer for
* intermediate results. Chi square results are put in &results
*/
int callPHistoTFFcn(void *mem_data, void *mem_par, void *mem_chisq,
double fTimeResolution, double fRebin,
int sensors, int length, int numpar, double &result);
/**
* max-log-likelihood for parameter fitting on device.
* mem_data - measurement data, mem_t0 - pointer to time 0 for each sensor,
* mem_par - pointer to parameter set, mem_results - pointer for
* intermediate results. Chi square results are put in &results.
* TODO: opencl and mic implementations.
*/
int callSingleGaussTF(void *mem_data, void *mem_t0, void *mem_par, void *mem_result,
double fTimeResolution, double fRebin, double fGoodBinOffser,
int sensors, int length, int numpar,
double &result);
/**
* max-log-likelihood for parameter fitting on device.
* mem_data - measurement data, mem_t0 - pointer to time 0 for each sensor,
* mem_par - pointer to parameter set, mem_results - pointer for
* intermediate results. Chi square results are put in &results.
* TODO: opencl and mic implementations.
*/
int callDoubleLorentzTF(void *mem_data, void *mem_t0, void *mem_par, void *mem_result,
double fTimeResolution, double fRebin, double fGoodBinOffser,
int sensors, int length, int numpar,
double &result);
/**
* Monte carlo code for the degrader from OPAL classic/5.0/src/Solvers/CollimatorPhysics.cpp on device.
* For specifics check OPAL docs and CudaCollimatorPhysics class documentation.
* TODO: opencl and mic implementations.
*/
int callCollimatorPhysics(void *mem_ptr, void *par_ptr,
int numparticles, int numparams,
int &numaddback, int &numdead);
/**
* Monte carlo code for the degrader from OPAL classic/5.0/src/Solvers/CollimatorPhysics.cpp on device.
* For specifics check OPAL docs and CudaCollimatorPhysics class documentation.
* TODO: opencl and mic implementations.
*/
int callCollimatorPhysics2(void *mem_ptr, void *par_ptr, int numparticles);
/**
* Monte carlo code for the degrader from OPAL classic/5.0/src/Solvers/CollimatorPhysics.cpp on device.
* For specifics check OPAL docs and CudaCollimatorPhysics class documentation.
* Test function for the MIC to test SoA layout vs AoS layout used in previous versions
*/
int callCollimatorPhysicsSoA(void *label_ptr, void *localID_ptr,
void *rx_ptr, void *ry_ptr, void *rz_ptr,
void *px_ptr, void *py_ptr, void *pz_ptr,
void *par_ptr, int numparticles);