The SpiNNaker Project
The spiking neural network architecture (SpiNNaker) project aims to deliver a massively parallel million-core computer whose interconnect architecture is inspired by the connectivity characteristics of the mammalian brain, and which is suited to the modeling of large-scale spiking neural networks in...
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| Published in: | Proceedings of the IEEE Vol. 102; no. 5; pp. 652 - 665 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
New York
IEEE
01.05.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subjects: | |
| ISSN: | 0018-9219, 1558-2256 |
| Online Access: | Get full text |
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| Abstract | The spiking neural network architecture (SpiNNaker) project aims to deliver a massively parallel million-core computer whose interconnect architecture is inspired by the connectivity characteristics of the mammalian brain, and which is suited to the modeling of large-scale spiking neural networks in biological real time. Specifically, the interconnect allows the transmission of a very large number of very small data packets, each conveying explicitly the source, and implicitly the time, of a single neural action potential or "spike." In this paper, we review the current state of the project, which has already delivered systems with up to 2500 processors, and present the real-time event-driven programming model that supports flexible access to the resources of the machine and has enabled its use by a wide range of collaborators around the world. |
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| AbstractList | The spiking neural network architecture (SpiNNaker) project aims to deliver a massively parallel million-core computer whose interconnect architecture is inspired by the connectivity characteristics of the mammalian brain, and which is suited to the modeling of large-scale spiking neural networks in biological real time. Specifically, the interconnect allows the transmission of a very large number of very small data packets, each conveying explicitly the source, and implicitly the time, of a single neural action potential or "spike." In this paper, we review the current state of the project, which has already delivered systems with up to 2500 processors, and present the real-time event-driven programming model that supports flexible access to the resources of the machine and has enabled its use by a wide range of collaborators around the world. |
| Author | Temple, Steve Furber, Steve B. Galluppi, Francesco Plana, Luis A. |
| Author_xml | – sequence: 1 givenname: Steve B. surname: Furber fullname: Furber, Steve B. email: steve.furber@manchester.ac.uk organization: Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK – sequence: 2 givenname: Francesco surname: Galluppi fullname: Galluppi, Francesco email: francesco.galluppi@gmail.com organization: Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK – sequence: 3 givenname: Steve surname: Temple fullname: Temple, Steve email: temples@cs.man.ac.uk organization: Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK – sequence: 4 givenname: Luis A. surname: Plana fullname: Plana, Luis A. email: plana@cs.man.ac.uk organization: Sch. of Comput. Sci., Univ. of Manchester, Manchester, UK |
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| CODEN | IEEPAD |
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| Snippet | The spiking neural network architecture (SpiNNaker) project aims to deliver a massively parallel million-core computer whose interconnect architecture is... |
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| SubjectTerms | Architecture (computers) Brain Brain modeling Computational modeling Computer architecture Interconnections multicast algorithms multiprocessor interconnection networks Multitasking neural network hardware Neural networks Neuroscience Packet transmission Parallel programming Program processors Programming Real time Spiking |
| Title | The SpiNNaker Project |
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| Volume | 102 |
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