A Quantitative Study of the Spatiotemporal I/O Burstiness of HPC Application
Author:
Affiliation:
1. College of Computer, National University of Defense Technology,Changsha,China
2. Computational Aerodynamics Institute,China Aerodynamics Research and Development Center,Mianyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9820609/9820610/09820616.pdf?arnumber=9820616
Reference28 articles.
1. Uncovering access, reuse, and sharing characteristics of i/o-intensive files on large-scale production {HPC} systems;patel;18th USENIX Conference on File and Storage Technologies ( FAST 20),2020
2. Comparative I/O workload characterization of two leadership class storage clusters
3. Server-Side Log Data Analytics for I/O Workload Characterization and Coordination on Large Shared Storage Systems
4. Spatially Bursty I/O on Supercomputers: Causes, Impacts and Solutions
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