Enabling Loosely-Coupled Serial Job Execution on the IBM BlueGene/P Supercomputer and the SiCortex SC5832

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dc.creatorRaicu, Ioan
dc.creatorZhang, Zhao
dc.creatorWilde, Mike
dc.creatorFoster, Ian
dc.date2008-08-26
dc.date.accessioned2026-07-07T09:58:30Z
dc.date.available2026-07-07T09:58:30Z
dc.descriptionOur work addresses the enabling of the execution of highly parallel computations composed of loosely coupled serial jobs with no modifications to the respective applications, on large-scale systems. This approach allows new-and potentially far larger-classes of application to leverage systems such as the IBM Blue Gene/P supercomputer and similar emerging petascale architectures. We present here the challenges of I/O performance encountered in making this model practical, and show results using both micro-benchmarks and real applications on two large-scale systems, the BG/P and the SiCortex SC5832. Our preliminary benchmarks show that we can scale to 4096 processors on the Blue Gene/P and 5832 processors on the SiCortex with high efficiency, and can achieve thousands of tasks/sec sustained execution rates for parallel workloads of ordinary serial applications. We measured applications from two domains, economic energy modeling and molecular dynamics.
dc.description13 pages, 18 figures
dc.identifierhttps://arxiv.org/abs/0808.3536
dc.identifierhttp://arxiv.org/abs/0808.3536
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/167737
dc.subjectDistributed, Parallel, and Cluster Computing
dc.subjectC.2.4; D.1.3; D.4.7; H.3.4
dc.titleEnabling Loosely-Coupled Serial Job Execution on the IBM BlueGene/P Supercomputer and the SiCortex SC5832
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