Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.

ABSTRACT: State-of-the-art software tools for neuronal network simulations scale to the largest computing systems available today and enable investigations of large-scale networks of up to 10 % of the human cortex at a resolution of individual neurons and synapses. Due to an upper limit on the number of incoming connections of a single neuron, network connectivity becomes extremely sparse at this scale. To manage computational costs, simulation software ultimately targeting the brain scale needs to fully exploit this sparsity. Here we present a two-tier connection infrastructure and a framework for directed communication among compute nodes accounting for the sparsity of brain-scale networks. We demonstrate the feasibility of this approach by implementing the technology in the NEST simulation code a

SUBMITTER: Jordan J 

PROVIDER: S-EPMC5820465 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature