AutoSense: A Framework for Automated Sensitivity Analysis of Program Data

IEEE Trans. Software Eng., Volume 43, Issue 12, 2017, Pages 1110-1124.

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其它链接dblp.uni-trier.de|academic.microsoft.com

摘要

In recent times, approximate computing is being increasingly adopted across the computing stack, from algorithms to computing hardware, to gain energy and performance efficiency by trading accuracy within acceptable limits. Approximation aware programming languages have been proposed where programmers can annotate data with type qualifier...更多

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