FPGA implementation of a Cholesky algorithm for a shared-memory multiprocessor architecture

Solving a system of linear equations is a key problem in engineering and science. Matrix factorization is a key component of many methods used to solve such equations. However, the factorization process is very time consuming, so these problems have often been targeted for parallel machines rather t...

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Veröffentlicht in:	Parallel algorithms and applications Jg. 19; H. 4; S. 211 - 226
Hauptverfasser:	Haridas, Satchidanand G., Ziavras, Sotirios G.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Taylor & Francis GroupAbingdon, UK 01.12.2004
Schlagworte:	FPGA Matrix inversion Parallel Cholesky factorization Performance evaluation
ISSN:	1063-7192
Online-Zugang:	Volltext
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