Jeremy G. Siek, Andrew Lumsdaine  Home/Search
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Abstract: . We present a unified approach for expressing high performance numerical linear algebra routines for large classes of dense and sparse matrices. As with the Standard Template Library [10], we explicitly separate algorithms from data structures through the use of generic programming techniques. We conclude that such an approach does not hinder high performance. On the contrary, writing portable high performance codes is actually enabled with such an approach because the performance critical... (Update)
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BibTeX entry: (Update)
Jeremy G. Siek and Andrew Lumsdaine. The matrix template library: A generic programming approach to high performance numerical linear algebra. In International Symposium on Computing in Object-Oriented Parallel Environments, 1998. http://citeseer.ist.psu.edu/article/siek98matrix.html More
@inproceedings{ siek98matrix,
author = "Jeremy G. Siek and Andrew Lumsdaine",
title = "The Matrix Template Library: A Generic Programming Approach to High Performance Numerical Linear Algebra",
booktitle = "{ISCOPE}",
pages = "59-70",
year = "1998",
url = "citeseer.ist.psu.edu/article/siek98matrix.html" }
Citations (may not include all citations):387 A set of level 3 basic linear algebra subprograms (context) - Dongarra, Croz et al. - 1990
123 Optimizing matrix multiply using PHiPAC: A portable - Bilmes, Asanovic et al. - 1996
23 Algorithm 656: An extended set of basic linear algebra subpr.. (context) - Dongarra, Croz et al. - 1988
5 LAPACK: A portable linear algebra package for high-performan.. (context) - Anderson, Bai et al. - 1990
3 Basic Linear Algebra Subprograms Technical Forum (context) - draft, Sparse et al. - 1997
2 Iterative Methods Library Reference Guide (context) - Jack, Andrew et al. - 1997
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