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- W2020988081 abstract "The challenge for the development of next-generation software is the successful management of the complex computational environment while delivering to the scientist the full power of flexible compositions of the available algorithmic alternatives. Self-adapting numerical software (SANS) systems are intended to meet this significant challenge. The process of arriving at an efficient numerical solution of problems in computational science involves numerous decisions by a numerical expert. Attempts to automate such decisions distinguish three levels: algorithmic decision, management of the parallel environment, and processor-specific tuning of kernels. Additionally, at any of these levels we can decide to rearrange the user's data. In this paper we look at a number of efforts at the University of Tennessee to investigate these areas." @default.
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- W2020988081 date "2006-03-01" @default.
- W2020988081 modified "2023-10-05" @default.
- W2020988081 title "Self-adapting numerical software (SANS) effort" @default.
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- W2020988081 doi "https://doi.org/10.1147/rd.502.0223" @default.
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