The Impact of Modern FPGA Architectures on Neural Hardware: A Case Study of the TOTEM Neural Processor

McBader, Stephanie and Lee, Peter and Sartori, Alvise (2004) The Impact of Modern FPGA Architectures on Neural Hardware: A Case Study of the TOTEM Neural Processor. In: Int. Joint Conf. on Neural Networks, Special Session on Dig. Imp. of Neural Nets - Invited Paper, 2004 July, Budapest, Hungary . (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Official URL
http://dx.doi.org/10.1109/IJCNN.2004.1381178

Abstract

The implementation of neural processors in hardware is a very challenging task. However, recent advances in programmable architectures facilitate this task by providing the fundamental hardware blocks for building neural structures. Using the TOTEM neural processor as a case study, this paper reports on the main advantages of implementing neural hardware on programmable logic devices such as FPGAs.

Item Type: Conference or workshop item (Paper)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications),
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Yiqing Liang
Date Deposited: 16 Aug 2009 19:48
Last Modified: 28 May 2014 14:10
Resource URI: https://kar.kent.ac.uk/id/eprint/8697 (The current URI for this page, for reference purposes)
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