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Author: Robert van de Geijn (firstname.lastname@example.org)
See also <URL:http://www.cs.utexas.edu/users/rvdg/abstracts/SC96.html>
Abstract: In this paper, we introduce a new parallel library effort, as part of the PLAPACK project, that attempts to address discrepencies between the needs of applications and parallel libraries. A number of contributions are made, including a new approach to matrix distribution, new insights into layering parallel linear algebra libraries, and the application of ``object based'' programming techniques which have recently become popular for (parallel) scientific libraries. We present an overview of a prototype library, the <bf> SL_Library </b>, which incorporates these ideas. Preliminary performance data shows this more application-centric approach to libraries does not necessarily adversely impact performance, compared to more traditional approaches.
Authors: Almadena Chtchelkanova; Carter Edwards; John Gunnels; Greg Morrow,; James Overfelt and Robert A. van de Geijn (email@example.com).
This version includes routines for the solution of linear systems of equations, symmetric positive definite banded linear systems of equations, condition estimation and iterative refinement, for LU and Cholesky factorization, matrix inversion, full-rank linear least squares problems, orthogonal and generalized orthogonal factorizations, orthogonal transformation routines, reductions to upper Hessenberg, bidiagonal and tridiagonal form, reduction of a symmetric-definite generalized eigenproblem to standard form, the symmetric, generalized symmetric and the nonsymmetric eigenproblem.
Get ScaLAPACK from <URL:http://www.netlib.org/scalapack/index.html>