HPC parallel implementation combining NEST Simulator and Python modules

The paper presents a supercomputer parallel implementation of a brain inspired model combining a Python module simulating a layer of retina ganglion cells and NEST Simulator for a layer of spike timing neurons of Lateral geniculate nucleus (LGN) in the brain. Since the Python module appeared to be the bottleneck in the developed hierarchical model of human visual system, the proposed two parallel implementations of that module were combined with NEST Simulator in a single module. Simulations of developed module on different number of nodes and varying number of parallel processes were investigated and compared with respect to their time consumption.

Automated summary

The paper introduces a supercomputer parallel implementation of a brain inspired model combining a Python module and NEST Simulator. The study compares simulations on different numbers of nodes and parallel processes to evaluate time consumption of the model.