Characterizing Parallel File-Access Patterns on a Large-Scale Multiprocessor
[ap:workload]Apratim Purakayastha, Carla Schlatter Ellis, David Kotz, Nils Nieuwejaar, and Michael Best. Characterizing Parallel File-Access Patterns on a Large-Scale Multiprocessor. Proceedings of the International Parallel Processing Symposium (IPPS), pages 165–172. IEEE, April 1995. doi:10.1109/IPPS.1995.395928. ©Copyright IEEE. Revision of ap:workload-tr. Later revised as nieuwejaar:workload-tr.
High-performance parallel file systems are needed to satisfy tremendous I/O requirements of parallel scientific applications. The design of such high-performance parallel file systems depends on a comprehensive understanding of the expected workload, but so far there have been very few usage studies of multiprocessor file systems. This paper is part of the CHARISMA project, which intends to fill this void by measuring real file-system workloads on various production parallel machines. In particular, here we present results from the CM-5 at the National Center for Supercomputing Applications. Our results are unique because we collect information about nearly every individual I/O request from the mix of jobs running on the machine. Analysis of the traces leads to various recommendations for parallel file-system design.
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