developed by Argonne National Laboratory, supported by the National Science Foundation (NSF) and the United States Department of Energy (DOE)
Library of subroutines for solving dense linear algebra problems efficiently on high-performance computers. Performance issues are addressed by implementing a large number of algorithms in terms of the level 2 and 3 BLAS and by incorporating recent algorithmic improvements for linear algebra computation. BLAS routines have been optimized for single and multiple-processor environments, these algorithms give nearly optimal performance.
Documentation:
- LAPACK User's Guide, Third Edition,
Ed Anderson, Zhao-jun Bai, Chris Bischof, Susan Blackford, Jim Demmel,Jack Dongarra, Jeremy Du Croz, Anne Greenbaum, Sven Hammarling, Alan McKenney and Danny Sorensen, Siam Public., Philadelphia, 1999, ISBN 0-89871-447-8 - LAPACK Working Notes
- Online description for specific LAPACK routines via man pages
- Access to Individual Routines
- Example Programs for the LAPACK Drivers
- LAPACK on Netlib WWW Server
- LAPACK User's Guide, Third Edition,