Bull Sas

Universite De Versailles Saint-Quentin-En-Yveline

Sophie Robert

Salim Mimouni

Gaël Goret

Lionel Vincent

Soraya Zertal

Grégory Vaumourin

Philippe COUVÉE

A method for optimizing the run parameters of a software application on an information processing platform, consisting of iteratively optimizing said parameters on each execution of said application, wherein, for each execution of said application (),

Automatic determination of the run parameters for a software application on an information processing platform by genetic algorithm and enhanced noise management

A method for iteratively autotuning a high-performance computing system that depends on a set of parameters. Performance is first evaluated two or more times with the current values of the parameters. Afterward at least two evaluations, the median performance is evaluated. The median is then tested against a rule based on a filtering threshold. If the median does not the rule, the current values of the parameters are discarded, and the method is restarted with at least one other value generated by an optimization module; otherwise, a resampling method is performed based on the median and on a confidence interval that decreases with the number of steps of the optimization method.

Method for autotuning noisy HPC systems

Growing community of inventors

Les Adrets, France

Sophie Robert