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Abstract: We present a generic programming methodology for expressing data structures and algorithms for high-performance numerical linear algebra. As with the Standard Template Library [14], our approach explicitly separates algorithms from data structures, allowing a single set of numerical routines to operate with a wide variety of matrix types, including sparse, dense, and banded. Through the use of C++ template programming, in conjunction with modern optimizing compilers, this generality does not... (Update)
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...runs and master slave models. Parallel generic programming paradigm has been used in several other contexts (e.g. [ELRT97, Sun97, KD98, LS98, JG99, Tro00]) Generic programming clearly separates algorithms from the data structures due to a powerful abstraction. This...
...robustness yet maintaining the e ciency. Parallel generic programming paradigm has been used in several other contexts (e.g. [20, 27, 16, 19, 13, 30]) Generic programming clearly separates algorithms from the data structures due to a powerful abstraction. This paradigm,...
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BibTeX entry: (Update)
J. G. Siek, A. Lumsdaine, and L. Q. Lee, Generic programming for high performance numerical linear algebra, in SIAM Workshop on Interoperable OO Sci. Computing, 1998. http://www.lsc.nd.edu/research/mtl/publications.htm. http://citeseer.ist.psu.edu/article/siek98generic.html More
@misc{ siek98generic,
author = "J. Siek and A. Lumsdaine and L. Lee",
title = "Generic programming for high performance numerical linear algebra",
text = "J. G. Siek, A. Lumsdaine, and L. Q. Lee, Generic programming for high performance
numerical linear algebra, in SIAM Workshop on Interoperable OO Sci. Computing,
1998. http://www.lsc.nd.edu/research/mtl/publications.htm.",
year = "1998",
url = "citeseer.ist.psu.edu/article/siek98generic.html" }
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