void SyncBuffer::push(SpikeDelay * delay, const NeuronID size)
{
// DEBUG
// std::cout << "Rank " << mpicom->rank() << "push\n";
// delay->print();
const SYNCBUFFER_DELTA_DATATYPE grid_size = (SYNCBUFFER_DELTA_DATATYPE)size*MINDELAY;
SYNCBUFFER_DELTA_DATATYPE unrolled_last_pos = 0;
// circular loop over different delay bins
for (int slice = 0 ; slice < MINDELAY ; ++slice ) {
SpikeContainer * sc = delay->get_spikes(slice+1);
AttributeContainer * ac = delay->get_attributes(slice+1);
// loop over all spikes in current delay time slice
for (int i = 0 ;
i < sc->size() ;
++i ) {
NeuronID spike = sc->at(i);
// compute unrolled position in current delay
SYNCBUFFER_DELTA_DATATYPE unrolled_pos = (SYNCBUFFER_DELTA_DATATYPE)(spike) + (SYNCBUFFER_DELTA_DATATYPE)size*slice;
// compute vertical unrolled difference from last spike
SYNCBUFFER_DELTA_DATATYPE spike_delta = unrolled_pos + carry_offset - unrolled_last_pos;
// memorize current position in slice
unrolled_last_pos = unrolled_pos;
// discard carry_offset since its only added to the first spike_delta
carry_offset = 0;
// overflow managment -- should only ever kick in for very very large SpikingGroups and very very sparse activity
while ( spike_delta >= max_delta_size ) {
send_buf.push_back( max_delta_size );
spike_delta -= max_delta_size;
}
// storing the spike delta (or its remainder) to buffer
send_buf.push_back(spike_delta);
// append spike attributes here in buffer
for ( int k = 0 ; k < delay->get_num_attributes() ; ++k ) { // loop over attributes
NeuronID cast_attrib = *(NeuronID*)(&(ac->at(i*delay->get_num_attributes()+k)));
send_buf.push_back(cast_attrib);
// std::cout << "store " << std::scientific << ac->at(i*delay->get_num_attributes()+k) << " int " << cast_attrib << std::endl;
}
}
}
// set save carry_offset which is the remaining difference from the present group
// plus because there might be more than one group without a spike ...
carry_offset += grid_size-unrolled_last_pos;
}
void SyncBuffer::push(SpikeDelay * delay, NeuronID size)
{
for (NeuronID i = 1 ; i < MINDELAY+1 ; ++i ) {
SpikeContainer * sc = delay->get_spikes(i);
// NeuronID s = (NeuronID) (sc->size());
// send_buf[0] += s;
count[i-1] = 0;
for (SpikeContainer::const_iterator spike = sc->begin() ;
spike != sc->end() ; ++spike ) {
NeuronID compressed = *spike + groupPushOffset1 + (i-1)*size;
send_buf.push_back(compressed);
count[i-1]++;
}
send_buf[0] += delay->get_spikes(i)->size(); // send the total number of spikes
}
// transmit get_num_attributes() attributes for count spikes for all time slices
if ( delay->get_num_attributes() ) {
for (NeuronID i = 1 ; i < MINDELAY+1 ; ++i ) {
AttributeContainer * ac = delay->get_attributes(i);
for ( NeuronID k = 0 ; k < delay->get_num_attributes() ; ++k ) { // loop over attributes
for ( NeuronID s = 0 ; s < count[i-1] ; ++s ) { // loop over spikes
send_buf.push_back(*(NeuronID*)(&(ac->at(s+count[i-1]*k))));
// if ( mpicom->rank() == 0 )
// cout << " pushing attr " << " " << i << " " << k << " " << s << " "
// << scientific << ac->at(s+count[i-1]*k) << endl;
}
}
}
}
groupPushOffset1 += size*MINDELAY;
}
