Jinv: a parallel method for distributed matrix inversion

Sahota, V. and Bayford, R. (2010) Jinv: a parallel method for distributed matrix inversion. In: UNSPECIFIED, ed. Developments in E-systems Engineering (DESE 2010). IEEE. pp. 163-167 ISBN 9781424480449

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Abstract

The past few years have seen the Grid maturing towards a final product, along with an increased popularity with researchers simulating their projects which contain some form of matrix inversion. The inversion of a matrix is very resource intensive and is often limited to either a Grid nodes CPU or memory capacity. This paper presents Jinv; a distributable matrix inversion solution. Developed using Jama, a linear algebra package for Java; it adopts a divide and conquer approach to tackle the main part of LU decomposition, matrix multiplication. Having implemented Jinv, initial tests have shown Jinv to be scalable and provide a working proof of concept. However it highlights the need for a more memory bandwidth efficient method to eliminate memory racing when executed on a single node.

Item Type: Book Section
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Divisions: Faculty of Social and Applied Sciences > School of Law, Criminal Justice and Computing
Depositing User: Vijay Sahota
Date Deposited: 08 Jul 2015 16:55
Last Modified: 09 Jul 2015 13:16
URI: https://create.canterbury.ac.uk/id/eprint/13539

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Last edited: 29/06/2016 12:23:00