Tunable Parallel Experiments in a GridRPC Framework: Application to Linear Solvers
Caniou Yves (Université Claude Bernard de Lyon, LIP ÉNS-LYON)Gay Jean-Sébastien (LIP ÉNS-LYON)
Ramet Pierre (LaBRI, Université Bordeaux 1)
Abstract:
The use of scientific computing centers becomes more and more difficult on modern parallel architectures. Users must face a large variety of batch systems (with their own specific syntax) and have
to set many parameters to tune their applications (e.g, processors and/or threads mapping, memory resource constraints). Moreover, finding the optimal performance is not the only criteria when a pool of jobs is submitted on the Grid (for numerical parametric analysis for instance) and one must focus on the wall-time completion. In this work we tackle the problem by using the DIET
Grid middleware that integrates an adaptable PasTiX service to solve a set of experiments issued from the simulations of the ASTER project.
Keywords:
Grid Computing (middleware, algorithms, performance evaluation, ...), Problem-Solving Environments
