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Integration of the LAM/MPI Environment and the PBS Scheduling System

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This paper was presented by Brian Barrett at the High Performance Computing Systems and Applications & OSCAR Symposium 2003, in Sherbrooke, Quebec, Canada.

Bibtex reference


The growth of cluster computing as a viable option for high performance computing has lead to the development of a comprehensive software stack for these machines, including cluster scheduling, parallel environments, and scientific libraries. OpenPBS or PBS/Pro is often used for scheduling, with LAM/MPI or MPICH used for parallel communication. This paper details the integration of the PBS scheduling and resource managing infrastructure with the LAM/MPI parallel run-time environment. The integration provides a cluster with several features that, although commonly available on traditional supercomputers, have been conspicuously missing in cluster computing environments: fast job startup, proper resource cleanup, and detailed accounting.

PDF tends to render better than postscript (for us), but both should print equally well.

Paper: Postscript PDF