Fuzzy libmath, transparently evaluating the numerical stability of your pipeline against the elementary mathematical functions (libm)

[yohanchatelain]

Project info

Title: Fuzzy libmath, transparently evaluating the numerical stability of your pipeline against the elementary mathematical functions (libm).

Project lead: Yohan Chatelain @yohanchatelain Ali Salari @ali4006 Greg Kiar @gkiar Tristan Glatard @glatard

Timezone: UTC-4

Description: Fuzzy libmath is evaluating the pipeline stability by applying noise to mathematical functions using the library call interposition technique. This project aims to study whether the Monte Carlo Arithmetic method is a truly good perturbation model for evaluating pipeline stability across the operating systems.

Link to project: fuzzy, (full description MCA-libmath)

Mattermost handle: @yohan.chatelain, @ali.salari, @gkiar, @tristan

Goals for the OHBM Brainhack

Find candidate pipelines to test the fuzzy-libmath.

Good first issues:

• :hatching_chick: First step: https://github.com/verificarlo/fuzzy/issues/36
• Try running fuzzy on your pipeline.
• Improve documentation.
• Setup a Google Collab, Binder or other interactive demo so new users can use it on sandbox examples.

Skills:

• Docker
• Monte Carlo Arithmetic (not required)

Chat channel:

• hbmhack-fuzzy-libmath

Image for the OHBM brainhack website

Project submission

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[yohanchatelain]

hi @ohbm/project-monitors: My project is ready!'

[glatard]

Hi @camarasu, this is the project we were talking about yesterday :)