High performance computing using ProActive environment and the asynchronous iteration model

This paper presents a new library for the ProActive environment, called AIL-PA (asynchronous iterative library for ProActive). This new library allows to execute programs for solving large scale problems on various architectures. Two models of algorithm can be used: the synchronous iteration model which is efficient on single clusters; the asynchronous iteration model which is more efficient on distributed clusters. Both approaches are tested on both architectures, using Kernel CG of the NAS Parallel Benchmarks on the Grid´5000 platform. These tests also allow us to compare ProActive with AIL-PA and with the Jace programming environment. The results show that the asynchronous iteration model with AIL-PA is more efficient on distributed clusters than the synchronous iteration model. Moreover, these experiments also show that AIL-PA does not involve additional overhead to ProActive.