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Abstract: . We present a unified approach for expressing high performance numerical linear algebra routines for a class of dense and sparse matrix formats and shapes. As with the Standard Template Library [7], 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... (Update)
Context of citations to this paper: More
...imperative languages. 1 Introduction In our experience developing high performance numerical libraries for objectoriented languages [17, 14] we have found that industrial compilers fail to eliminate abstraction reliably. In fact, the best optimizing compilers, while achieving...
...is generic programming using templates that support meta programming. This is in some way a typed extension to C macros, cf. [103, 105, 113, 120]. Templates enable parameterization in ways not supported by regular classes. Template parameters can be seen as place holders that...
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BibTeX entry: (Update)
Jeremy G. Siek and Andrew Lumsdaine. The matrix template library: A unifying framework for numerical linear algebra. In Parallel Object Oriented Scientific Computing. ECOOP, 1998. http://citeseer.ist.psu.edu/siek98matrix.html More
@inproceedings{ siek98matrix,
author = "Jeremy G. Siek and Andrew Lumsdaine",
title = "The Matrix Template Library: A Unifying Framework for Numerical Linear Algebra",
booktitle = "{ECOOP} Workshops",
pages = "466-467",
year = "1998",
url = "citeseer.ist.psu.edu/siek98matrix.html" }
Citations (may not include all citations):387 A set of level 3 basic linear algebra subprograms (context) - Dongarra, Croz et al. - 1990
345 Basic linear algebra subprograms for fortran usage (context) - Lawson, Hanson et al. - 1979
165 Sparskit: a basic tool kit for sparse matrix computations - Saad - 1990
135 ScaLAPACK Users' Guide (context) - Blackford, Choi et al. - 1997
108 The standard template library - Lee, Stepanov - 1995
23 Algorithm 656: An extended set of basic linear algebra subpr.. (context) - Dongarra, Croz et al. - 1988
15 NIST Sparse BLAS User's Guide - Remington, Pozo
8 Kuck and Associates C++ User's Guide (context) - Associates
6 A rational approach to portable high performance: The basic .. - Siek, Lumsdaine - 1998
6 Using PLAPACK (context) - Geijn - 1997
3 Basic Linear Algebra Subprograms Technical Forum (context) - draft, Sparse et al. - 1997
3 The role of abstraction in highperformance computing (context) - McCandless, Lumsdaine - 1997
3 National Insitute of Standards and Technology (context) - Pozo, Toolkit et al.
2 BlockSolve95 Users Manual: Scalable Library for the Parallel.. (context) - Mark, Jones - 1995
2 Compiling parallel code for sparse matrix applications (context) - Vladimir, Keshav - 1997
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