A simulation platform for reconfigurable computing research

Fu Wenyin*, Katherine Compton

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

In this paper, we present a full-system reconfigurable computing simulation platform intended to promote innovative new research in reconfigurable computing. Currently, reconfigurable computing researchers frequently use tools such as simple trace-based simulators to provide performance estimates for their designs and methods. However, because the scope of these simulations is generally high-level and limited to the reconfigurable hardware and possibly a host processor, the results presented may unfortunately be less than completely accurate, particularly with respect to memory and processor-hardware communication timing. As reconfigurable computing systems become less theoretical and move closer to widespread realization, more accurate evaluations are necessary to compare new system designs, configuration methods, hardware scheduling algorithms, and hardware structures. We therefore discuss the issues involved in implementing a full-system simulator for reconfigurable computing, presenting specific implementation techniques, and demonstrate the value of reconfigurable computing full-system simulation on an example application.

Original languageEnglish (US)
Title of host publicationProceedings - 2006 International Conference on Field Programmable Logic and Applications, FPL
Pages183-189
Number of pages7
DOIs
StatePublished - 2006
Externally publishedYes
Event2006 International Conference on Field Programmable Logic and Applications, FPL - Madrid, Spain
Duration: Aug 28 2006Aug 30 2006

Publication series

NameProceedings - 2006 International Conference on Field Programmable Logic and Applications, FPL

Other

Other2006 International Conference on Field Programmable Logic and Applications, FPL
Country/TerritorySpain
CityMadrid
Period8/28/068/30/06

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

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