Parallel Extension of a Dynamic Performance Forecasting Tool

Main Article Content

Eddy Caron
Frederic Desprez
Frederic Suter


This paper presents an extension of a performance evaluation library called Fast to handle parallel routines. Fast is a dynamic performance forecasting tool in a grid environment. We propose to combine estimations given by Fast about sequential computation routines and network availability to parallel routine models coming from code analysis.

Article Details

Proposal for Special Issue Papers