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Numerical Linear Algebra Tools

LAPACK: a subroutine library for solving the most common problems in numerical linear algebra, designed to run efficiently on shared-memory vector and parallel processors. Click here to mail the authors.

Scalapack: A software library for performing dense and band linear algebra computations on distributed-memory message-passing MIMD computers and networks of workstations supporting PVM and/or MPI. Click here to mail the authors.

Automatically Tuned Linear Algebra Software (ATLAS): ATLAS is an approach for the automatic generation and optimization of numerical software for processors with deep memory hierarchies and pipelined functional units. The production of such software for machines ranging from desktop workstations to embedded processors can be a tedious and time consuming task. ATLAS has been designed to automate much of this process. We concentrate our efforts on the widely used linear algebra kernels called the Basic Linear Algebra Subroutines (BLAS).

Linear Algebra Software Survey: Information on freely available software for the solution of linear algebra problems. The interest is in software for high-performance computers that's available in source form on the web for solving problems in numerical linear algebra, specifically dense, sparse direct and iterative systems and sparse iterative eigenvalue problems.

BLACS: BLACS: a linear algebra oriented message passing interface for distributed memory platforms.

BLAS Technical Forum: A forum to consider expanding the BLAS in a number of ways in light of modern software, language, and hardware developments.

Templates Report: Templates for the Solution of Linear Systems, Building Blocks for Iterative Method, click here to mail the authors.

Matrix Market: The Matrix Market provides convenient access to a repository of matrix test data for use in comparative studies of algorithms.

Parallel Information Sites


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