Accelerating iterative solvers with reconfigurable hardware

Issam Damaj*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

In this chapter, we aim at increasing the usage of iterative methods in all possible fields by accelerating such solvers using Reconfigurable Hardware. To demonstrate the acceleration of these solvers, we implement the Jacobi solver on different classes of FPGAs, such as Virtex II Pro, Altera Stratix and Spartan3L. The design presented is implemented using Handel-C, a compiler with hardware output. Obtained results show that reconfigurable hardware is suitable for realizing accelerated versions of such solvers.

Original languageEnglish
Title of host publicationHandbook of Optimization Theory
Subtitle of host publicationDecision Analysis and Application
PublisherNova Science Publishers, Inc.
Pages139-151
Number of pages13
ISBN (Print)9781608765003
Publication statusPublished - 2011
Externally publishedYes

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