Transputer data-flow solution for systems of linear equations

Hopkins, Tim and Welch, P. (1996) Transputer data-flow solution for systems of linear equations. Concurrency-Practice and Experience, 8 (8). pp. 569-580. ISSN 1040-3108. (The full text of this publication is not available from this repository)

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Abstract

The authors present data-how solutions on a pipeline of transputers for banded and dense systems of linear equations using Gauss elimination and the Gauss-Jordan method, respectively, These implementations, written in occam, are especially effective when there is a continuous supply of right-hand sides to be solved with the same coefficient matrix. Attention is paid to both load balancing and resource handling within the processor elements of the pipeline, When solving multiple right-hand sides, floating-point efficiency levels on 32-processor implementations range from 110% (for dense systems) down to 90% (for banded systems), where 100% represents the peak performance attainable from a single transputer applied to the same problem (effectively back-to-back floating-point operations on data in external memory). Some conclusions are drawn on efficiency issues arising from state-of-the-art massively parallel supercomputers.

Item Type: Article
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: R.F. Xu
Date Deposited: 04 Jun 2009 16:06
Last Modified: 25 Jun 2012 13:45
Resource URI: http://kar.kent.ac.uk/id/eprint/19243 (The current URI for this page, for reference purposes)
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