Abstract
In this paper we discuss the deployment of large scale numerical applications on a Grid. Currently, Grid deployments have coarse-grained and massively parallel nature and are suited for applications that are not communication intensive. For our numerical applications, we minimize the communication needs by a good choice of data placement, in particular by using persistent storage of data. We also introduce out-of-core programming for the task farming paradigm in order to achieve interesting degree of scalability. We discuss the performances of the bisection method to compute the eigenpair of a real symmetric tridiagonal matrix and a block-based matrix-vector product. As experimental middleware we use the XtremWeb system in different configurations; a local one and a WAN based platform with heterogeneous resources distributed on two geographic sites: the university of Lille I and Paris-XI university in Orsay.
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References
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© 2006 Springer-Verlag Berlin Heidelberg
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Petiton, S.G., Aouad, L.M., Choy, L. (2006). Peer to Peer Large Scale Linear Algebra Programming and Experimentations. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2005. Lecture Notes in Computer Science, vol 3743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11666806_49
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DOI: https://doi.org/10.1007/11666806_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31994-8
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