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AllIFNeurons_d.cu
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/*
* AllIFNeurons_d.cu
*
*/
#include "AllIFNeurons.h"
#include "Book.h"
/*
* Allocate GPU memories to store all neurons' states,
* and copy them from host to GPU memory.
*
* @param allNeuronsDevice Reference to the allNeurons struct on device memory.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::allocNeuronDeviceStruct( void** allNeuronsDevice, SimulationInfo *sim_info ) {
AllIFNeurons allNeurons;
allocDeviceStruct( allNeurons, sim_info );
HANDLE_ERROR( cudaMalloc( allNeuronsDevice, sizeof( AllIFNeurons ) ) );
HANDLE_ERROR( cudaMemcpy ( *allNeuronsDevice, &allNeurons, sizeof( AllIFNeurons ), cudaMemcpyHostToDevice ) );
}
/*
* Allocate GPU memories to store all neurons' states.
* (Helper function of allocNeuronDeviceStruct)
*
* @param allNeurons Reference to the allIFNeurons struct.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::allocDeviceStruct( AllIFNeurons &allNeurons, SimulationInfo *sim_info ) {
int count = sim_info->totalNeurons;
int max_spikes = static_cast<int> (sim_info->epochDuration * sim_info->maxFiringRate);
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.C1, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.C2, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Cm, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.I0, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Iinject, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Inoise, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Isyn, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Rm, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Tau, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Trefract, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Vinit, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Vm, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Vreset, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Vrest, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.Vthresh, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.hasFired, count * sizeof( bool ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.nStepsInRefr, count * sizeof( int ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.spikeCount, count * sizeof( int ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.spikeCountOffset, count * sizeof( int ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.summation_map, count * sizeof( BGFLOAT ) ) );
HANDLE_ERROR( cudaMalloc( ( void ** ) &allNeurons.spike_history, count * sizeof( uint64_t* ) ) );
uint64_t* pSpikeHistory[count];
for (int i = 0; i < count; i++) {
HANDLE_ERROR( cudaMalloc( ( void ** ) &pSpikeHistory[i], max_spikes * sizeof( uint64_t ) ) );
}
HANDLE_ERROR( cudaMemcpy ( allNeurons.spike_history, pSpikeHistory,
count * sizeof( uint64_t* ), cudaMemcpyHostToDevice ) );
// get device summation point address and set it to sim info
sim_info->pSummationMap = allNeurons.summation_map;
}
/*
* Delete GPU memories.
*
* @param allNeuronsDevice Reference to the allNeurons struct on device memory.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::deleteNeuronDeviceStruct( void* allNeuronsDevice, const SimulationInfo *sim_info ) {
AllIFNeurons allNeurons;
HANDLE_ERROR( cudaMemcpy ( &allNeurons, allNeuronsDevice, sizeof( AllIFNeurons ), cudaMemcpyDeviceToHost ) );
deleteDeviceStruct( allNeurons, sim_info );
HANDLE_ERROR( cudaFree( allNeuronsDevice ) );
}
/*
* Delete GPU memories.
* (Helper function of deleteNeuronDeviceStruct)
*
* @param allNeurons Reference to the allIFNeurons struct.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::deleteDeviceStruct( AllIFNeurons& allNeurons, const SimulationInfo *sim_info ) {
int count = sim_info->totalNeurons;
uint64_t* pSpikeHistory[count];
HANDLE_ERROR( cudaMemcpy ( pSpikeHistory, allNeurons.spike_history,
count * sizeof( uint64_t* ), cudaMemcpyDeviceToHost ) );
for (int i = 0; i < count; i++) {
HANDLE_ERROR( cudaFree( pSpikeHistory[i] ) );
}
HANDLE_ERROR( cudaFree( allNeurons.C1 ) );
HANDLE_ERROR( cudaFree( allNeurons.C2 ) );
HANDLE_ERROR( cudaFree( allNeurons.Cm ) );
HANDLE_ERROR( cudaFree( allNeurons.I0 ) );
HANDLE_ERROR( cudaFree( allNeurons.Iinject ) );
HANDLE_ERROR( cudaFree( allNeurons.Inoise ) );
HANDLE_ERROR( cudaFree( allNeurons.Isyn ) );
HANDLE_ERROR( cudaFree( allNeurons.Rm ) );
HANDLE_ERROR( cudaFree( allNeurons.Tau ) );
HANDLE_ERROR( cudaFree( allNeurons.Trefract ) );
HANDLE_ERROR( cudaFree( allNeurons.Vinit ) );
HANDLE_ERROR( cudaFree( allNeurons.Vm ) );
HANDLE_ERROR( cudaFree( allNeurons.Vreset ) );
HANDLE_ERROR( cudaFree( allNeurons.Vrest ) );
HANDLE_ERROR( cudaFree( allNeurons.Vthresh ) );
HANDLE_ERROR( cudaFree( allNeurons.hasFired ) );
HANDLE_ERROR( cudaFree( allNeurons.nStepsInRefr ) );
HANDLE_ERROR( cudaFree( allNeurons.spikeCount ) );
HANDLE_ERROR( cudaFree( allNeurons.spikeCountOffset ) );
HANDLE_ERROR( cudaFree( allNeurons.summation_map ) );
HANDLE_ERROR( cudaFree( allNeurons.spike_history ) );
}
/*
* Copy all neurons' data from host to device.
*
* @param allNeuronsDevice Reference to the allNeurons struct on device memory.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::copyNeuronHostToDevice( void* allNeuronsDevice, const SimulationInfo *sim_info ) {
AllIFNeurons allNeurons;
HANDLE_ERROR( cudaMemcpy ( &allNeurons, allNeuronsDevice, sizeof( AllIFNeurons ), cudaMemcpyDeviceToHost ) );
copyHostToDevice( allNeurons, sim_info );
}
/*
* Copy all neurons' data from host to device.
* (Helper function of copyNeuronHostToDevice)
*
* @param allNeurons Reference to the allIFNeurons struct.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::copyHostToDevice( AllIFNeurons& allNeurons, const SimulationInfo *sim_info ) {
int count = sim_info->totalNeurons;
HANDLE_ERROR( cudaMemcpy ( allNeurons.C1, C1, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.C2, C2, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Cm, Cm, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.I0, I0, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Iinject, Iinject, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Inoise, Inoise, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Isyn, Isyn, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Rm, Rm, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Tau, Tau, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Trefract, Trefract, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Vinit, Vinit, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Vm, Vm, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Vreset, Vreset, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Vrest, Vrest, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.Vthresh, Vthresh, count * sizeof( BGFLOAT ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.hasFired, hasFired, count * sizeof( bool ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.nStepsInRefr, nStepsInRefr, count * sizeof( int ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.spikeCount, spikeCount, count * sizeof( int ), cudaMemcpyHostToDevice ) );
HANDLE_ERROR( cudaMemcpy ( allNeurons.spikeCountOffset, spikeCountOffset, count * sizeof( int ), cudaMemcpyHostToDevice ) );
int max_spikes = static_cast<int> (sim_info->epochDuration * sim_info->maxFiringRate);
uint64_t* pSpikeHistory[count];
HANDLE_ERROR( cudaMemcpy ( pSpikeHistory, allNeurons.spike_history, count * sizeof( uint64_t* ), cudaMemcpyDeviceToHost ) );
for (int i = 0; i < count; i++) {
HANDLE_ERROR( cudaMemcpy ( pSpikeHistory[i], spike_history[i], max_spikes * sizeof( uint64_t ), cudaMemcpyHostToDevice ) );
}
}
/*
* Copy all neurons' data from device to host.
*
* @param allNeuronsDevice Reference to the allNeurons struct on device memory.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::copyNeuronDeviceToHost( void* allNeuronsDevice, const SimulationInfo *sim_info ) {
AllIFNeurons allNeurons;
HANDLE_ERROR( cudaMemcpy ( &allNeurons, allNeuronsDevice, sizeof( AllIFNeurons ), cudaMemcpyDeviceToHost ) );
copyDeviceToHost( allNeurons, sim_info );
}
/*
* Copy all neurons' data from device to host.
* (Helper function of copyNeuronDeviceToHost)
*
* @param allNeurons Reference to the allIFNeurons struct.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::copyDeviceToHost( AllIFNeurons& allNeurons, const SimulationInfo *sim_info ) {
int count = sim_info->totalNeurons;
HANDLE_ERROR( cudaMemcpy ( C1, allNeurons.C1, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( C2, allNeurons.C2, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Cm, allNeurons.C1, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( I0, allNeurons.I0, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Iinject, allNeurons.Iinject, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Inoise, allNeurons.Inoise, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Isyn, allNeurons.Isyn, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Rm, allNeurons.Rm, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Tau, allNeurons.Tau, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Trefract, allNeurons.Trefract, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Vinit, allNeurons.Vinit, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Vm, allNeurons.Vm, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Vreset, allNeurons.Vreset, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Vrest, allNeurons.Vrest, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( Vthresh, allNeurons.Vthresh, count * sizeof( BGFLOAT ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( hasFired, allNeurons.hasFired, count * sizeof( bool ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( nStepsInRefr, allNeurons.nStepsInRefr, count * sizeof( int ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( spikeCount, allNeurons.spikeCount, count * sizeof( int ), cudaMemcpyDeviceToHost ) );
HANDLE_ERROR( cudaMemcpy ( spikeCountOffset, allNeurons.spikeCountOffset, count * sizeof( int ), cudaMemcpyDeviceToHost ) );
int max_spikes = static_cast<int> (sim_info->epochDuration * sim_info->maxFiringRate);
uint64_t* pSpikeHistory[count];
HANDLE_ERROR( cudaMemcpy ( pSpikeHistory, allNeurons.spike_history, count * sizeof( uint64_t* ), cudaMemcpyDeviceToHost ) );
for (int i = 0; i < count; i++) {
HANDLE_ERROR( cudaMemcpy ( spike_history[i], pSpikeHistory[i], max_spikes * sizeof( uint64_t ), cudaMemcpyDeviceToHost ) );
}
}
/*
* Copy spike history data stored in device memory to host.
*
* @param allNeuronsDevice Reference to the allNeurons struct on device memory.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::copyNeuronDeviceSpikeHistoryToHost( void* allNeuronsDevice, const SimulationInfo *sim_info )
{
AllIFNeurons allNeurons;
HANDLE_ERROR( cudaMemcpy ( &allNeurons, allNeuronsDevice, sizeof( AllIFNeurons ), cudaMemcpyDeviceToHost ) );
AllSpikingNeurons::copyDeviceSpikeHistoryToHost( allNeurons, sim_info );
}
/*
* Copy spike counts data stored in device memory to host.
*
* @param allNeuronsDevice Reference to the allNeurons struct on device memory.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::copyNeuronDeviceSpikeCountsToHost( void* allNeuronsDevice, const SimulationInfo *sim_info )
{
AllIFNeurons allNeurons;
HANDLE_ERROR( cudaMemcpy ( &allNeurons, allNeuronsDevice, sizeof( AllIFNeurons ), cudaMemcpyDeviceToHost ) );
AllSpikingNeurons::copyDeviceSpikeCountsToHost( allNeurons, sim_info );
}
/*
* Clear the spike counts out of all neurons.
*
* @param allNeuronsDevice Reference to the allNeurons struct on device memory.
* @param sim_info SimulationInfo to refer from.
*/
void AllIFNeurons::clearNeuronSpikeCounts( void* allNeuronsDevice, const SimulationInfo *sim_info )
{
AllIFNeurons allNeurons;
HANDLE_ERROR( cudaMemcpy ( &allNeurons, allNeuronsDevice, sizeof( AllIFNeurons ), cudaMemcpyDeviceToHost ) );
AllSpikingNeurons::clearDeviceSpikeCounts( allNeurons, sim_info );
}
/*
* Update the state of all neurons for a time step
* Notify outgoing synapses if neuron has fired.
*
* @param synapses Reference to the allSynapses struct on host memory.
* @param allNeuronsDevice Reference to the allNeurons struct on device memory.
* @param allSynapsesDevice Reference to the allSynapses struct on device memory.
* @param sim_info SimulationInfo to refer from.
* @param randNoise Reference to the random noise array.
* @param synapseIndexMapDevice Reference to the SynapseIndexMap on device memory.
*/
void AllIFNeurons::advanceNeurons( IAllSynapses &synapses, IAllNeurons* allNeuronsDevice, IAllSynapses* allSynapsesDevice, const SimulationInfo *sim_info, float* randNoise, SynapseIndexMap* synapseIndexMapDevice )
{
}