The Matrix Template Library: A Generic Programming Approach to High Performance Numerical Linear Algebra-Reference-Cited by-同舟云学术

The Matrix Template Library: A Generic Programming Approach to High Performance Numerical Linear Algebra

Published:1998 Issue: Volume: Page:59-70
ISSN:0302-9743
Container-title:Computing in Object-Oriented Parallel Environments
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Author:

Siek Jeremy G.,Lumsdaine Andrew

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-49372-7_6

Reference19 articles.

1. Meng Lee and Alexander Stepanov. The standard template library. Technical report, HP Laboratories, February 1995.

2. J. Bilmes, K. Asanovic, J. Demmel, D. Lam, and C.-W. Chin. Optimizing matrix multiply using PHiPAC: A portable, high-performance, ANSI C coding methodology. Technical Report CS-96-326, University of Tennessee, May 1996.

3. Jack J. Dongarra R. Clint Whaley. Automatically tuned linear algebra software (ATLAS). Technical report, U. Tennessee and ORNL, 1997.

4. Todd Veldhuizen. Using C++ template metaprograms. C++ Report, May 1995.

5. Basic Linear Algebra Subprograms Technical Forum. BLAS standard draft chapter 3: Sparse BLAS. Technical report, University of Tennessee, December 1997.

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