Parallel Extension of a Dynamic Performance Forecasting Tool

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. Key words. Performance forecasting and modeling, parallel routines.

• Type: Journal
• Year: 2002
• Where: CUZA
• Authors: Eddy Caron, Frédéric Suter
• Keywords: CUZA 2002, Parallel Routines, Performance Evaluation Library, Sequential Computation Routines