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Grid and Cluster Matrix Computation with Persistent Storage and Out-of-core Programming

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3 Author(s)
Aouad, L.M. ; LIFL, Univ. of Lille I ; Petiton, S.G. ; Sato, M.

In this paper we present a performance evaluation of a large-scale numerical application on a cluster and a global grid/cluster platform. The computational resources are a cluster of clusters (34 nodes, 84 processors) and a local area network grid (128 nodes), distributed on two geographic sites: Tsukuba University (Japan) and University of Lille I (France). We compare a classical MPI (message passing interface) version with global grid/cluster versions. We also present and test some techniques for numerical applications on a grid/cluster infrastructure based on out-of-core programming and an efficient data placement. We discuss the performances of a block-based Gauss-Jordan method for large matrix inversion. As experimental grid middleware we use the XtremWeb system to manage non-dedicated distributed resources

Published in:

Cluster Computing, 2005. IEEE International

Date of Conference:

Sept. 2005