SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation
The modelling of large systems of spiking neurons is computationally very demanding in terms of processing power and communication. SpiNNaker - Spiking Neural Network architecture - is a massively parallel computer system designed to provide a cost-effective and flexible simulator for neuroscience e...
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| Vydáno v: | IEEE journal of solid-state circuits Ročník 48; číslo 8; s. 1943 - 1953 |
|---|---|
| Hlavní autoři: | , , , , , , , , |
| Médium: | Journal Article Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
New York, NY
IEEE
01.08.2013
Institute of Electrical and Electronics Engineers |
| Témata: | |
| ISSN: | 0018-9200, 1558-173X |
| On-line přístup: | Získat plný text |
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| Abstract | The modelling of large systems of spiking neurons is computationally very demanding in terms of processing power and communication. SpiNNaker - Spiking Neural Network architecture - is a massively parallel computer system designed to provide a cost-effective and flexible simulator for neuroscience experiments. It can model up to a billion neurons and a trillion synapses in biological real time. The basic building block is the SpiNNaker Chip Multiprocessor (CMP), which is a custom-designed globally asynchronous locally synchronous (GALS) system with 18 ARM968 processor nodes residing in synchronous islands, surrounded by a lightweight, packet-switched asynchronous communications infrastructure. In this paper, we review the design requirements for its very demanding target application, the SpiNNaker micro-architecture and its implementation issues. We also evaluate the SpiNNaker CMP, which contains 100 million transistors in a 102-mm 2 die, provides a peak performance of 3.96 GIPS, and has a peak power consumption of 1 W when all processor cores operate at the nominal frequency of 180 MHz. SpiNNaker chips are fully operational and meet their power and performance requirements. |
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| AbstractList | The modelling of large systems of spiking neurons is computationally very demanding in terms of processing power and communication. SpiNNaker - Spiking Neural Network architecture - is a massively parallel computer system designed to provide a cost-effective and flexible simulator for neuroscience experiments. It can model up to a billion neurons and a trillion synapses in biological real time. The basic building block is the SpiNNaker Chip Multiprocessor (CMP), which is a custom-designed globally asynchronous locally synchronous (GALS) system with 18 ARM968 processor nodes residing in synchronous islands, surrounded by a lightweight, packet-switched asynchronous communications infrastructure. In this paper, we review the design requirements for its very demanding target application, the SpiNNaker micro-architecture and its implementation issues. We also evaluate the SpiNNaker CMP, which contains 100 million transistors in a 102-mm 2 die, provides a peak performance of 3.96 GIPS, and has a peak power consumption of 1 W when all processor cores operate at the nominal frequency of 180 MHz. SpiNNaker chips are fully operational and meet their power and performance requirements. |
| Author | Brown, Andrew D. Temple, Steve Patterson, Cameron Garside, Jim Galluppi, Francesco Furber, Steve B. Lester, David R. Painkras, Eustace Plana, Luis A. |
| Author_xml | – sequence: 1 givenname: Eustace surname: Painkras fullname: Painkras, Eustace organization: Adv. Processor Technol. Group, Univ. of Manchester, Manchester, UK – sequence: 2 givenname: Luis A. surname: Plana fullname: Plana, Luis A. email: luis.plana@manchester.ac.uk organization: Adv. Processor Technol. Group, Univ. of Manchester, Manchester, UK – sequence: 3 givenname: Jim surname: Garside fullname: Garside, Jim organization: Adv. Processor Technol. Group, Univ. of Manchester, Manchester, UK – sequence: 4 givenname: Steve surname: Temple fullname: Temple, Steve organization: Adv. Processor Technol. Group, Univ. of Manchester, Manchester, UK – sequence: 5 givenname: Francesco surname: Galluppi fullname: Galluppi, Francesco organization: Adv. Processor Technol. Group, Univ. of Manchester, Manchester, UK – sequence: 6 givenname: Cameron surname: Patterson fullname: Patterson, Cameron organization: Adv. Processor Technol. Group, Univ. of Manchester, Manchester, UK – sequence: 7 givenname: David R. surname: Lester fullname: Lester, David R. organization: Adv. Processor Technol. Group, Univ. of Manchester, Manchester, UK – sequence: 8 givenname: Andrew D. surname: Brown fullname: Brown, Andrew D. organization: Electron. & Electr. Eng., Univ. of Southampton, Southampton, UK – sequence: 9 givenname: Steve B. surname: Furber fullname: Furber, Steve B. organization: Adv. Processor Technol. Group, Univ. of Manchester, Manchester, UK |
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| Keywords | Spiking neuron Processor Asynchronous interconnect neuromorphic hardware Modeling Implementation Multiprocessor Microelectronic fabrication Parallel system globally asynchronous locally synchronous (GALS) energy efficiency Parallel processing chip multiprocessor Chemical mechanical polishing Computer design spiking neural networks (SNNs) Large scale system Globally asynchronous locally synchronous Packet switching network-on-chip System design System on a chip Parallel architectures Parallel computer Neural network Synapse real-time simulation Integrated circuit Computer system Simulator Asynchronous transmission |
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| References_xml | – ident: ref3 doi: 10.3389/fnins.2011.00073 – ident: ref10 doi: 10.1038/nrn1848 – ident: ref24 doi: 10.1109/MM.2002.1044296 – ident: ref11 doi: 10.1147/rd.521.0031 – ident: ref15 doi: 10.1109/MSPEC.2012.6247562 – ident: ref29 doi: 10.1109/ASYNC.2012.18 – ident: ref19 doi: 10.1016/j.jpdc.2012.01.016 – ident: ref13 doi: 10.1109/MSPEC.2010.5644776 – ident: ref4 doi: 10.1109/ISCAS.2010.5536970 – ident: ref23 doi: 10.1145/2043643.2043647 – year: 0 ident: ref25 publication-title: Axi protocol specification – ident: ref17 doi: 10.1113/jphysiol.1952.sp004764 – ident: ref20 doi: 10.1007/978-1-4615-2724-4 – ident: ref7 doi: 10.1109/TCSI.2007.907830 – ident: ref32 doi: 10.1016/j.jneumeth.2012.03.001 – volume: pp year: 2012 ident: ref1 article-title: Overview of the SpiNNaker system architecture publication-title: IEEE Trans Comput – ident: ref9 doi: 10.1109/MC.2009.341 – ident: ref22 doi: 10.1109/MDT.2007.149 – start-page: 226 year: 2012 ident: ref30 article-title: A real-time, event driven neuromorphic system for goal-directed attentional selection publication-title: Proc Int Conf Neural Inf Process – ident: ref14 doi: 10.1109/IJCNN.2011.6033558 – ident: ref16 doi: 10.1109/TNN.2003.820440 – ident: ref6 doi: 10.1007/978-3-642-00641-8_38 – ident: ref21 doi: 10.1109/IJCNN.2010.5596759 – year: 2005 ident: ref8 publication-title: Theoretical Neuroscience Computational and Mathematical Modeling of Neural Systems – ident: ref2 doi: 10.1523/JNEUROSCI.3575-07.2007 – ident: ref26 doi: 10.1109/ASYNC.2009.21 – ident: ref27 doi: 10.1109/ASYNC.2009.17 – ident: ref12 doi: 10.1145/1978542.1978559 – volume: 11 start-page: 7 year: 2010 ident: ref31 article-title: Interfacing real-time spiking I/O with the SpiNNaker neuromimetic architecture publication-title: Proc Int Conf Neural Inf Process – ident: ref28 doi: 10.1109/CICC.2012.6330636 – ident: ref18 doi: 10.1109/FCCM.2012.32 – ident: ref5 doi: 10.3389/fninf.2011.00019 |
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| Snippet | The modelling of large systems of spiking neurons is computationally very demanding in terms of processing power and communication. SpiNNaker - Spiking Neural... |
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| SubjectTerms | Applied sciences Asynchronous interconnect Biological system modeling Brain modeling chip multiprocessor Computational modeling Computer systems Electric, optical and optoelectronic circuits Electronics energy efficiency Exact sciences and technology globally asynchronous locally synchronous (GALS) Hardware Integrated circuits Integrated circuits by function (including memories and processors) network-on-chip Neural networks neuromorphic hardware Neurons real-time simulation Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices spiking neural networks (SNNs) System-on-chip Transistors |
| Title | SpiNNaker: A 1-W 18-Core System-on-Chip for Massively-Parallel Neural Network Simulation |
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| Volume | 48 |
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