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Issue No.05 - September-October (2007 vol.24)
pp: 454-463
Luis A. Plana , University of Manchester
Steve B. Furber , University of Manchester
Steve Temple , University of Manchester
Mukaram Khan , University of Manchester
Yebin Shi , University of Manchester
Jian Wu , University of Manchester
Shufan Yang , University of Manchester
The Spinnaker (Spiking Neural Network Architecture) system for large-scale neural modeling is based on a scalable processor chip containing multiple ARM cores. Using a globally asynchronous, locally synchronous (GALS) approach allows custom, off-the-shelf IP to be readily integrated without significant timing-closure design effort. The ARM processors are used to simulate neurons, and generated neural events are carried over an on-chip, packet-switched fabric. This self-timed interconnect is also extended off chip to a provide chip-to-chip interconnect that scales to networks of thousands of chips.
massively parallel multiprocessor, GALS, Spinnaker, neural modeling, self-timed interconnect
Luis A. Plana, Steve B. Furber, Steve Temple, Mukaram Khan, Yebin Shi, Jian Wu, Shufan Yang, "A GALS Infrastructure for a Massively Parallel Multiprocessor", IEEE Design & Test of Computers, vol.24, no. 5, pp. 454-463, September-October 2007, doi:10.1109/MDT.2007.149
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8. Y. Shi and S. Furber, "Error Checking and Resetting Mechanisms for Asynchronous Interconnect," Proc. 18th UK Asynchronous Forum, University of Newcastle upon Tyne, 2006, pp. 24–27,
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14 ms
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