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Section: New Results

From code to model

Participant : Sid Touati.

This research result is about modeling code performances using gaussian mixtures. Thanks to this performance model, we propose additional precise performance metrics. Our additional statistical metrics for analysing and comparing program performances give the user more precise decision tools to select best code versions, not necessarily based on mean or median numbers. Also, we provide a new metric to estimate performance variability based on Gaussian mixture model. Our statistical methods are implemented with R and distributed as open source code.

This is a collaboration with Julien Worms (LMV, UVSQ), reported in [7].