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Light-Weight Parallel I/O Analysis at Scale
[chapter]
2011
Lecture Notes in Computer Science
Input/output (I/O) operations can represent a significant proportion of the run-time when large scientific applications are run in parallel. Although there have been advances in the form of file-format libraries, file system design and I/O hardware, a growing divergence exists between the performance of parallel file systems and compute processing rates. In this paper we utilise RIOT, an input/output tracing toolkit being developed at the University of Warwick, to assess the performance of
doi:10.1007/978-3-642-24749-1_18
fatcat:2ahogbvy7jddroo4m7acgg3szq