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Uncovering Access, Reuse, and Sharing Characteristics of I/O-Intensive Files on Large-Scale Production HPC Systems.

Tirthak Patel, Suren Byna (January 2020, Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020)
null (Ed.)
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Revisiting I/O behavior in large-scale storage systems: the expected and the unexpected

https://doi.org/https://doi.org/10.1145/3295500.3356183

Tirthak Patel, Suren Byna (November 2019, SC '19: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis)

Large-scale applications typically spend a large fraction of their execution time performing I/O to a parallel storage system. However, with rapid progress in compute and storage system stack of large-scale systems, it is critical to investigate and update our understanding of the I/O behavior of large-scale applications. Toward that end, in this work, we monitor, collect and analyze a year worth of storage system data from a large-scale production parallel storage system. We perform temporal, spatial and correlative analysis of the system and uncover surprising patterns which defy existing assumptions and have important implications for future systems.
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Full Text Available
Revisiting I/O behavior in large-scale storage systems: the expected and the unexpected.

Tirthak Patel, Suren Byna (January 2019, Proceedings of the International Conference for High Performance Computing, 2019)
null (Ed.)
Full Text Available

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