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 t...

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Veröffentlicht in:Cluster computing Jg. 25; H. 3; S. 1637 - 1644
Hauptverfasser: Nedelcheva, Simona, Ivanovska, Sofiya, Durchova, Mariya, Koprinkova-Hristova, Petia
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York Springer US 01.06.2022
Springer Nature B.V
Schlagworte:
Algorithms
Brain
Computer Communication Networks
Computer Science
Modules
Operating Systems
Processor Architectures
Python
Retina
Simulation
Supercomputers
Python MPI
Retinal ganglion cells
NEST Simulator
HPC
Lateral geniculate nucleus
ISSN:1386-7857, 1573-7543
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Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
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ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-021-03422-0