2006 | OriginalPaper | Buchkapitel
Compiler-Optimized Kernels: An Efficient Alternative to Hand-Coded Inner Kernels
verfasst von : José R. Herrero, Juan J. Navarro
Erschienen in: Computational Science and Its Applications - ICCSA 2006
Verlag: Springer Berlin Heidelberg
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The use of highly optimized inner kernels is of paramount importance for obtaining efficient numerical algorithms. Often, such kernels are created by hand. In this paper, however, we present an alternative way to produce efficient matrix multiplication kernels based on a set of simple codes which can be parameterized at compilation time. Using the resulting kernels we have been able to produce high performance sparse and dense linear algebra codes on a variety of platforms.