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Debugging and detecting numerical errors in computation with posits

Authors: Sangeeta Chowdhary; Jay P. Lim; Santosh Nagarakatte;

Debugging and detecting numerical errors in computation with posits

Abstract

This is the artifact of the PLDI-2020 paper, Debugging and Detecting Numerical Errors in Computation with Posits. The compressed file contains both PositDebug and fpsanitizer. PositDebug is a tool to analyze the error in programs using posits. fpsanitizer is a tool to analyze the error in programs using floating point. For instructions on how to install, use, and test PositDebug and fpsanitizer, please consult the README.txt file found in the compressed file. In order to decompress the attached file, please use the command: tar -xvf PositDebug.tar.gz

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Keywords

Posits, numerical error, floating point, dynamic analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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