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EMBRACE-SysC for Analysis of NoC-based Spiking Neural Network Architectures

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Pande, Sandeep, Morgan, Fearghal, McCawley, Seamus, McGinely, Brian, Carrillo, Sanider, Harkin, Jim and McDaid, Liam (2010) EMBRACE-SysC for Analysis of NoC-based Spiking Neural Network Architectures. In: International Symposium on System-on-Chip (SoC), Finland. IEEE. 7 pp. [Conference contribution]

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Abstract

This paper presents EMBRACE-SysC, a simulation-based design exploration framework for the EMBRACE mixed signal Network on Chip (NoC)-based hardware Spiking Neural Network (SNN) architecture. EMBRACE-SysC incorporates Genetic Algorithm-based training of SNN applications. Results illustrate the application of EMBRACE-SysC for performance analysis of a NoC-based SNN architecture. The development of EMBRACE-SysC introduces a powerful design exploration framework for EMBRACE architecture development.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:14666
Deposited By:Dr Jim Harkin
Deposited On:29 Oct 2010 11:10
Last Modified:29 Oct 2010 11:10

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