Parallel algorithms for reduction of a symmetric matrix to tridiagonal form on a shared memory multiprocessor

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摘要

This study is concerned with parallel algorithms for the reduction of a real symmetric matrix to tridiagonal form. A variety of algorithms are investigated, which involve varying amounts of overlap between different parts of the calculation.Empirical comparison was carried out using C++ and the THREADS package on a shared memory Encore Multimax multiprocessor [Encore Computer Corporation, Encore Parallel Threads Manual No. 724-06210 Rev. A, 1988]. In this testing the final version which involves most overlap was found to be the most efficient algorithm, and its efficiency is very high when the algorithm has some minor changes did give some improvements.

论文关键词:The symmetric tridiagonal eigenvalue problem,Parallel computation,A shared memory Encore Multimax multiprocessor

论文评审过程:Available online 24 December 2004.

论文官网地址:https://doi.org/10.1016/j.amc.2004.11.008