Numerical Linear Algebra for High Performance Computers

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Summary

Provides a rapid introduction to the world of vector and parallel processing for these linear algebra applications.

About the authors
Preface
Introduction
High performance computing
Overview of current high-performance computers
Implementation details and overhead
Performance: analysis, modeling, and measurements
Building blocks in linear algebra
Direct solution of sparse linear systems
Krylov subspaces: projection
Iterative methods for linear systems
Preconditioning and parallel preconditioning
Linear Eigenvalue problems Ax=lx
The generalized Eigenproblem
Acquiring mathematical software
Glossary
Level 1, 2, and 3 BLAS quick reference
Operation counts for various BLAS and decompositions
Bibliography
Index
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