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10.5555/1058426.1058879guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Pilchard — A Reconfigurable Computing Platform with Memory Slot Interface

Published: 29 April 2001 Publication History

Abstract

A reconfigurable computing development environment called Pilchard, employing a field programmable gate array (FPGA) which plugs into a standardpersonal computer's (PC) 133 MHz synchronous dynamic RAM Dual In-line Memory Modules (DIMMs) slot is presented. Compared with a traditional PCI interfacedreconfigurable computing board, the DIMM interface offers higher bandwidth, a simpler interface and lower latency. A comparison of the transfer rate of the Pilchard board compared with a standard PC132 reconfigurable computing board is presented as well as an implementation of the data encryption standard (DES). Together, the board and interface generator provide an easy to use, low cost and high performance platform for reconfigurable computing.

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cover image Guide Proceedings
FCCM '01: Proceedings of the the 9th Annual IEEE Symposium on Field-Programmable Custom Computing Machines
April 2001
308 pages
ISBN:0769526675

Publisher

IEEE Computer Society

United States

Publication History

Published: 29 April 2001

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  • (2012)Optimization of Shared High-Performance Reconfigurable Computing ResourcesACM Transactions on Embedded Computing Systems10.1145/2220336.222034811:2(1-22)Online publication date: 1-Jul-2012
  • (2005)Parallel application performance on shared high performance reconfigurable computing resourcesPerformance Evaluation10.1016/j.peva.2004.10.00460:1-4(107-125)Online publication date: 1-May-2005
  • (2005)Multi-logic-Unit processorProceedings of the 8th European conference on Genetic Programming10.1007/978-3-540-31989-4_15(167-177)Online publication date: 30-Mar-2005
  • (2003)Ubiquitous Access to Reconfigurable HardwareProceedings of the conference on Design, Automation and Test in Europe - Volume 110.5555/789083.1022844Online publication date: 3-Mar-2003
  • (2003)Parallel programs are more evolvable than sequential programsProceedings of the 6th European conference on Genetic programming10.5555/1762668.1762679(107-118)Online publication date: 14-Apr-2003

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