Simulating the Cortical Microcircuit Significantly Faster Than Real Time on the IBM INC-3000 Neural Supercomputer

Simulating the Cortical Microcircuit Significantly Faster Than Real Time on the IBM INC-3000 Neural Supercomputer

This article employs the new IBM INC-3000 prototype FPGA-based neural supercomputer to implement a widely used model of the cortical microcircuit. With approximately 80,000 neurons and 300 Million synapses this model has become a benchmark network for comparing simulation architectures with regard t...

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Bibliographic Details
Main Authors: Arne Heittmann, Georgia Psychou, Guido Trensch, Charles E. Cox, Winfried W. Wilcke, Markus Diesmann, Tobias G. Noll
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-01-01
Series:Frontiers in Neuroscience
Subjects:
reconfigurable computing
neuromorphic computing
parallel computing
FPGA cluster
spiking neural networks
performance benchmarking
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.728460/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2021.728460/full

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