The symmetric tridiagonal eigenproblem on a shared memory multiprocessor: Part I

doi:10.1016/j.amc.2003.07.009

2004-08-01

PRE

Doǧan Kaya *

DOI：10.1016/j.amc.2003.07.009

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En 中文

The article presents an experimental evaluation of the effect of deflation on accuracy. A number of test matrices were used to test Cuppen's algorithm since the amount of deflation in this method depends on the test matrix. The motivation for a non-recursive version was to compare this with the recursive version and to investigate the relationship between the recursive and non-recursive implementations of Cuppen's divide-and-conquer method. We have concentrated in particular on algorithms written in the C++ programming language. C++ is an object-oriented programming language, which can provide various types of matrix classes. The use of C++ implies some storage organisation for array elements. The primitive arrays provided in C++ use storage by rows. As far as we are aware there is little previous work on parallelising these algorithms using C++. Consequently in this work we have considered implementation of the serial using the objectoriented programming language C++. (C) 2003 Elsevier Inc. All rights reserved.

Keyword:

the symmetric tridiagonal eigenproblem

Cuppen's method

The C plus plus programming language