Caspian: A Neuromorphic Development Platform

J. Parker Mitchell; Catherine D. Schuman; Robert M. Patton; Thomas E. Potok

doi:10.1145/3381755.3381764

Caspian: A Neuromorphic Development Platform

J. Parker Mitchell, Catherine D. Schuman, Robert M. Patton, Thomas E. Potok

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Scopus citations

Abstract

Current neuromorphic systems often may be difficult to use and costly to deploy. There exists a need for a simple yet flexible neuromorphic development platform which can allow researchers to quickly prototype ideas and applications. Caspian offers a high-level API along with a fast spiking simulator to enable the rapid development of neuromorphic solutions. It further offers an FPGA architecture that allows for simplified deployment - particularly in SWaP (size, weight, and power) constrained environments. Leveraging both software and hardware, Caspian aims to accelerate development and deployment while enabling new researchers to quickly become productive with a spiking neural network system.

Original language	English
Title of host publication	Proceedings of the 2020 Annual Neuro-Inspired Computational Elements Workshop, NICE 2020
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450361231
DOIs	https://doi.org/10.1145/3381755.3381764
State	Published - Mar 17 2020
Event	2020 Annual Neuro-Inspired Computational Elements Workshop, NICE 2020 - Heidelberg, Germany Duration: Mar 17 2020 → Mar 20 2020

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2020 Annual Neuro-Inspired Computational Elements Workshop, NICE 2020
Country/Territory	Germany
City	Heidelberg
Period	03/17/20 → 03/20/20

Funding

This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under contract number DE-AC05-00OR22725, and by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory.

Funders	Funder number
U.S. Department of Energy
Office of Science
Advanced Scientific Computing Research	DE-AC05-00OR22725
Oak Ridge National Laboratory

Keywords

neuromorphic
reconfigurable computing
spiking neural network

Access to Document

10.1145/3381755.3381764

Cite this

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title = "Caspian: A Neuromorphic Development Platform",

abstract = "Current neuromorphic systems often may be difficult to use and costly to deploy. There exists a need for a simple yet flexible neuromorphic development platform which can allow researchers to quickly prototype ideas and applications. Caspian offers a high-level API along with a fast spiking simulator to enable the rapid development of neuromorphic solutions. It further offers an FPGA architecture that allows for simplified deployment - particularly in SWaP (size, weight, and power) constrained environments. Leveraging both software and hardware, Caspian aims to accelerate development and deployment while enabling new researchers to quickly become productive with a spiking neural network system.",

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author = "Mitchell, {J. Parker} and Schuman, {Catherine D.} and Patton, {Robert M.} and Potok, {Thomas E.}",

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Mitchell, JP, Schuman, CD, Patton, RM & Potok, TE 2020, Caspian: A Neuromorphic Development Platform. in Proceedings of the 2020 Annual Neuro-Inspired Computational Elements Workshop, NICE 2020. ACM International Conference Proceeding Series, Association for Computing Machinery, 2020 Annual Neuro-Inspired Computational Elements Workshop, NICE 2020, Heidelberg, Germany, 03/17/20. https://doi.org/10.1145/3381755.3381764

Caspian: A Neuromorphic Development Platform. / Mitchell, J. Parker; Schuman, Catherine D.; Patton, Robert M. et al.
Proceedings of the 2020 Annual Neuro-Inspired Computational Elements Workshop, NICE 2020. Association for Computing Machinery, 2020. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Caspian: A Neuromorphic Development Platform

Abstract

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Keywords

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