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Transprecision Computing (Micro-benchmarks)

<p>The micro-benchmarks involve multiple Floating-Point variables whose precision, that is the number of bits used for the mantissa and the exponent, can be tuned using the FlexFloat SW library (see &quot;A Transprecision Floating-Point Platform for Ultra-Low Power Computing&quot;, by G. Tagliavini et al., in 2018 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE) 2018 Mar 19 (pp. 1051-1056). IEEE).&nbsp;</p> <p>The data set comprises 7 different micro-benchmarks run under different precision configurations; this data set was created during the 2020 FET project OPRECOMP (g.a. 732631).</p> <p>The data set is fully described in the research paper: &quot;Combining learning and optimization for transprecision computing&quot;, by authors Borghesi A, Tagliavini G, Lombardi M, Benini L, Milano M. In Proceedings of the 17th ACM International Conference on Computing Frontiers 2020 May 11 (pp. 10-18). See here the full paper: https://arxiv.org/pdf/2002.10890.pdf</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
4