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SpiNNTools: The Execution Engine for the SpiNNaker Platform
SpiNNaker is a massively parallel distributed architecture primarily focused on real time simulation of spiking neural networks. The largest realization of the architecture consists of one million general purpose processors, making it the largest neuromorphic computing platform in the world at the p...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444189/ https://www.ncbi.nlm.nih.gov/pubmed/30971873 http://dx.doi.org/10.3389/fnins.2019.00231 |
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author | Rowley, Andrew G. D. Brenninkmeijer, Christian Davidson, Simon Fellows, Donal Gait, Andrew Lester, David R. Plana, Luis A. Rhodes, Oliver Stokes, Alan B. Furber, Steve B. |
author_facet | Rowley, Andrew G. D. Brenninkmeijer, Christian Davidson, Simon Fellows, Donal Gait, Andrew Lester, David R. Plana, Luis A. Rhodes, Oliver Stokes, Alan B. Furber, Steve B. |
author_sort | Rowley, Andrew G. D. |
collection | PubMed |
description | SpiNNaker is a massively parallel distributed architecture primarily focused on real time simulation of spiking neural networks. The largest realization of the architecture consists of one million general purpose processors, making it the largest neuromorphic computing platform in the world at the present time. Utilizing these processors efficiently requires expert knowledge of the architecture to generate executable code and to harness the potential of the unique inter-processor communications infra-structure that lies at the heart of the SpiNNaker architecture. This work introduces a software suite called SpiNNTools that can map a computational problem described as a graph into the required set of executables, application data and routing information necessary for simulation on this novel machine. The SpiNNaker architecture is highly scalable, giving rise to unique challenges in mapping the problem to the machines resources, loading the generated files to the machine and subsequently retrieving the results of simulation. In this paper we describe these challenges in detail and the solutions implemented. |
format | Online Article Text |
id | pubmed-6444189 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64441892019-04-10 SpiNNTools: The Execution Engine for the SpiNNaker Platform Rowley, Andrew G. D. Brenninkmeijer, Christian Davidson, Simon Fellows, Donal Gait, Andrew Lester, David R. Plana, Luis A. Rhodes, Oliver Stokes, Alan B. Furber, Steve B. Front Neurosci Neuroscience SpiNNaker is a massively parallel distributed architecture primarily focused on real time simulation of spiking neural networks. The largest realization of the architecture consists of one million general purpose processors, making it the largest neuromorphic computing platform in the world at the present time. Utilizing these processors efficiently requires expert knowledge of the architecture to generate executable code and to harness the potential of the unique inter-processor communications infra-structure that lies at the heart of the SpiNNaker architecture. This work introduces a software suite called SpiNNTools that can map a computational problem described as a graph into the required set of executables, application data and routing information necessary for simulation on this novel machine. The SpiNNaker architecture is highly scalable, giving rise to unique challenges in mapping the problem to the machines resources, loading the generated files to the machine and subsequently retrieving the results of simulation. In this paper we describe these challenges in detail and the solutions implemented. Frontiers Media S.A. 2019-03-26 /pmc/articles/PMC6444189/ /pubmed/30971873 http://dx.doi.org/10.3389/fnins.2019.00231 Text en Copyright © 2019 Rowley, Brenninkmeijer, Davidson, Fellows, Gait, Lester, Plana, Rhodes, Stokes and Furber. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Rowley, Andrew G. D. Brenninkmeijer, Christian Davidson, Simon Fellows, Donal Gait, Andrew Lester, David R. Plana, Luis A. Rhodes, Oliver Stokes, Alan B. Furber, Steve B. SpiNNTools: The Execution Engine for the SpiNNaker Platform |
title | SpiNNTools: The Execution Engine for the SpiNNaker Platform |
title_full | SpiNNTools: The Execution Engine for the SpiNNaker Platform |
title_fullStr | SpiNNTools: The Execution Engine for the SpiNNaker Platform |
title_full_unstemmed | SpiNNTools: The Execution Engine for the SpiNNaker Platform |
title_short | SpiNNTools: The Execution Engine for the SpiNNaker Platform |
title_sort | spinntools: the execution engine for the spinnaker platform |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6444189/ https://www.ncbi.nlm.nih.gov/pubmed/30971873 http://dx.doi.org/10.3389/fnins.2019.00231 |
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