Exploiting Mixed Precision Floating Point Hardware in Scientific Computations

Exploiting Mixed Precision Floating Point Hardware in Scientific Computations (2007)

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by Alfredo Buttari , Jack Dongarra , Jakub Kurzak , Julie Langou , Julien Langou , Piotr Luszczek , Stanimire Tomov

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@MISC{Buttari07exploitingmixed,
    author = {Alfredo Buttari and Jack Dongarra and Jakub Kurzak and Julie Langou and Julien Langou and Piotr Luszczek and Stanimire Tomov},
    title = {Exploiting Mixed Precision Floating Point Hardware in Scientific Computations},
    year = {2007}
}

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Abstract

By using a combination of 32-bit and 64-bit floating point arithmetic, the performance of many dense and sparse linear algebra algorithms can be significantly enhanced while maintaining the 64-bit accuracy of the resulting solution. The approach presented here can apply not only to conventional processors but also

Citations

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