Toward a High Performance Tile Divide and Conquer Algorithm for the Dense Symmetric Eigenvalue Problem

Azzam Haidar, Hatem Ltaief, Jack Dongarra

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Classical solvers for the dense symmetric eigenvalue problem suffer from the first step, which involves a reduction to tridiagonal form that is dominated by the cost of accessing memory during the panel factorization. The solution is to reduce the matrix to a banded form, which then requires the eigenvalues of the banded matrix to be computed. The standard divide and conquer algorithm can be modified for this purpose. The paper combines this insight with tile algorithms that can be scheduled via a dynamic runtime system to multicore architectures. A detailed analysis of performance and accuracy is included. Performance improvements of 14-fold and 4-fold speedups are reported relative to LAPACK and Intel's Math Kernel Library.
Original languageEnglish (US)
Pages (from-to)C249-C274
Number of pages1
JournalSIAM Journal on Scientific Computing
Volume34
Issue number6
DOIs
StatePublished - Jan 2012

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