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DPSNN_localNet_chrono.cpp
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DPSNN_localNet_chrono.cpp
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// DPSNN_localNet_chrono.cpp
// DPSNN-STDP project
// DPSNN_*.* Distribution/Parallelization
// of Polychronous Spiking Neural Networks
// with synaptic Spiking Time Dependent Plasticity
// Pier Stanislao Paolucci
// (Roma, Italy, project start date 2011)
#include <math.h>
#include <stdlib.h>
#include <stdint.h>
#include <stdio.h>
#include "DPSNN_debug.h"
#include "DPSNN_chrono.h"
#include "DPSNN_localNet.h"
#include "DPSNN_messagePassing.h"
void localNetClass::clearAllChronometers(){
uint32_t totalSimTime;
totalSimTime = atoi(getenv("env_totalSimTime_ms"));
chronoSendReceiveSynList.clearChrono();
chronoSortTargetHostInForwardSynList.clearChrono();
chronoSendReceiveAxonalSpikes.clearChrono();
chronoExchangeAxonalSpikesDim.clearChrono();
chronoExchangeAxonalSpikes.clearChrono();
chronoTimeStep.clearChrono();
chronoLPTAndAfterSpikeCalc.clearChrono();
chronoAfterSendRecSpikes.clearChrono();
chronoDynamicOfNeu.clearChrono();
chronoThalamicInput.clearChrono();
chronoAddSynCurrAndLTD.clearChrono();
chronoNeuralDynamic.clearChrono();
chronoRastergram.clearChrono();
chronoPlasticity.clearChrono();
chronoComputeDetail.clearChrono();
chronoComputeDetail2.clearChrono();
chronoBarrier1.clearChrono();
chronoBarrier2.clearChrono();
chronoBarrier3.clearChrono();
chronoPartialTimeStep.clearChrono();
chronoStatFunctions.clearChrono();
chronoCompressNeuralSpikes.clearChrono();
chronoNeuralSpikesToAxonalSpikes.clearChrono();
chronoBackwardAxonalSpikersToSchedulers.clearChrono();
}
void localNetClass::printAllInitChronoResults(){
DPSNNverboseStart(true,1,0);
if(lnp_par.loc_h <= 1 || lnp_par.loc_h>=(lnp_par.globH-2)) {
printf("CHRONO:sortTargetHostInForwardSynList h=%d = %f sec \n",
lnp_par.loc_h,
chronoSortTargetHostInForwardSynList.getAccumulatedChrono());
printf("CHRONO:sendReceiveSynList h=%d = %f sec \n",
lnp_par.loc_h, chronoSendReceiveSynList.getAccumulatedChrono());
fflush(stdout);};
DPSNNverboseEnd();
};
void localNetClass::printAllSimulChronoResults(){
double totalTime;
uint32_t numSamples;
double meanTime;
uint32_t startPartialChrono_ms, stopPartialChrono_ms;
totalTime = chronoLPTAndAfterSpikeCalc.getAccumulatedChrono();
numSamples = chronoLPTAndAfterSpikeCalc.getNumLaps();
meanTime =0.0;
if(numSamples>0) meanTime = (double)(totalTime/(double)numSamples);
DPSNNverboseStart(true,1,0);
printf("CHRONO-h=%d-A-BEFORE: each = %f sec sampled on %d iters, total time = %f sec\n",lnp_par.loc_h, meanTime, numSamples, totalTime);
fflush(stdout);
DPSNNverboseEnd();
totalTime = chronoBarrier1.getAccumulatedChrono();
numSamples = chronoBarrier1.getNumLaps();
meanTime =0.0;
if(numSamples>0) meanTime = (double)(totalTime/(double)numSamples);
DPSNNverboseStart(true,1,0);
printf("CHRONO-h=%d-B-BARRIER: each = %f sec sampled on %d iters, total time = %f sec\n",lnp_par.loc_h, meanTime, numSamples, totalTime);
fflush(stdout);
DPSNNverboseEnd();
totalTime = chronoExchangeAxonalSpikesDim.getAccumulatedChrono();
numSamples = chronoExchangeAxonalSpikesDim.getNumLaps();
meanTime =0.0;
if(numSamples>0) meanTime = (double)(totalTime/(double)numSamples);
DPSNNverboseStart(true,1,0);
printf("CHRONO-h=%d-C-DIM: each = %f sec sampled on %d iters, total time = %f sec\n",lnp_par.loc_h, meanTime, numSamples, totalTime);
fflush(stdout);
DPSNNverboseEnd();
totalTime = chronoExchangeAxonalSpikes.getAccumulatedChrono();
numSamples = chronoExchangeAxonalSpikes.getNumLaps();
meanTime =0.0;
if(numSamples>0) meanTime = (double)(totalTime/(double)numSamples);
DPSNNverboseStart(true,1,0);
printf("CHRONO-h=%d-D-PAYLOAD: each = %f sec sampled on %d iters, total time = %f sec\n",lnp_par.loc_h, meanTime, numSamples, totalTime);
DPSNNverboseEnd();
totalTime = chronoAfterSendRecSpikes.getAccumulatedChrono();
numSamples = chronoAfterSendRecSpikes.getNumLaps();
meanTime =0.0;
if(numSamples>0) meanTime = (double)(totalTime/(double)numSamples);
DPSNNverboseStart(true,1,0);
printf("CHRONO-h=%d-E-AFTER: each = %f sec sampled on %d iters, total time = %f sec\n",
lnp_par.loc_h, meanTime, numSamples, totalTime);
fflush(stdout);
DPSNNverboseEnd();
totalTime = chronoTimeStep.getAccumulatedChrono();
numSamples = chronoTimeStep.getNumLaps();
meanTime = 0.0;
if(numSamples>0) meanTime = (double)(totalTime/(double)numSamples);
DPSNNverboseStart(true,1,0);
printf("CHRONO-h=%d-F-TOTAL TotalTimeStep: each timeStep = %f sec sampled on %d iters, total time = %f sec\n",lnp_par.loc_h, meanTime, numSamples, totalTime );
fflush(stdout);
DPSNNverboseEnd();
totalTime = chronoSendReceiveAxonalSpikes.getAccumulatedChrono();
numSamples = chronoSendReceiveAxonalSpikes.getNumLaps();
meanTime =0.0;
if(numSamples>0) meanTime = (double)(totalTime/(double)numSamples);
DPSNNverboseStart(false,1,0);
printf("CHRONO-h=%d-G-TOTAL SendReceiveSpikes: each sendRec = %f sec sampled on %d iters, total time = %f sec\n",lnp_par.loc_h, meanTime, numSamples, totalTime);
fflush(stdout);
DPSNNverboseEnd();
totalTime = chronoPartialTimeStep.getAccumulatedChrono();
numSamples = chronoPartialTimeStep.getNumLaps();
startPartialChrono_ms = chronoPartialTimeStep.getstartPartialChrono_ms();
stopPartialChrono_ms = chronoPartialTimeStep.getstopPartialChrono_ms();
meanTime = 0.0;
if(numSamples>0) meanTime = (double)(totalTime/(double)numSamples);
DPSNNverboseStart(false,1,0);
printf("CHRONO-h=%d-H-***PARTIAL*** PartialTimeStep: simulation from ms %d to ms %d: partial time = %f sec\n",lnp_par.loc_h,startPartialChrono_ms,stopPartialChrono_ms,totalTime );
fflush(stdout);
DPSNNverboseEnd();
};
void localNetClass::printAllStatChronoResults(){
chronoLPTAndAfterSpikeCalc.printChrono("BEFORE",lnp_par.loc_h,1);
chronoBarrier1.printChrono("BARRIER",lnp_par.loc_h,0);
chronoExchangeAxonalSpikesDim.printChrono("DIM",lnp_par.loc_h,0);
chronoExchangeAxonalSpikes.printChrono("PAYLOAD",lnp_par.loc_h,0);
chronoAfterSendRecSpikes.printChrono("AFTER",lnp_par.loc_h,0);
chronoTimeStep.printChrono("TOTAL",lnp_par.loc_h,0);
//chronoBarrier2.printChrono("AfterSendRec_Barrier",lnp_par.loc_h,0);
chronoThalamicInput.printChrono("ThalamicInput",lnp_par.loc_h,0);
chronoAddSynCurrAndLTD.printChrono("AddSynapticCurrents+LTD",lnp_par.loc_h,0);
chronoNeuralDynamic.printChrono("NeuronDynamic",lnp_par.loc_h,0);
chronoRastergram.printChrono("Rastergram",lnp_par.loc_h,0);
chronoPlasticity.printChrono("Plasticity",lnp_par.loc_h,0);
chronoStatFunctions.printChrono("StatisticalFunctions",lnp_par.loc_h,0);
chronoPartialTimeStep.printChrono("PartialTimeStep",lnp_par.loc_h,0);
pMessagePassing->spikeDimSize.printMsgSize("MessageDimSize",lnp_par.loc_h,0);
pMessagePassing->spikePayloadSize.printMsgSize("MessagePayloadSize",lnp_par.loc_h,0);
DPSNNverboseStart(false,1,0);
chronoDynamicOfNeu.printIstogramData("IstogramData1",lnp_par.loc_h,lnp_par.totalSimTime_ms);
chronoThalamicInput.printIstogramData("IstogramData2",lnp_par.loc_h,lnp_par.totalSimTime_ms);
chronoAddSynCurrAndLTD.printIstogramData("IstogramData3",lnp_par.loc_h,lnp_par.totalSimTime_ms);
chronoNeuralDynamic.printIstogramData("IstogramData4",lnp_par.loc_h,lnp_par.totalSimTime_ms);
DPSNNverboseEnd();
}