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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Vydané v:	IEEE journal of solid-state circuits Ročník 48; číslo 8; s. 1943 - 1953
Hlavní autori:	Painkras, Eustace, Plana, Luis A., Garside, Jim, Temple, Steve, Galluppi, Francesco, Patterson, Cameron, Lester, David R., Brown, Andrew D., Furber, Steve B.
Médium:	Journal Article Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	New York, NY IEEE 01.08.2013 Institute of Electrical and Electronics Engineers
Predmet:	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 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
ISSN:	0018-9200, 1558-173X
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Popis
Shrnutí:	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.
ISSN:	0018-9200 1558-173X
DOI:	10.1109/JSSC.2013.2259038