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MOSAIC: Detection and Categorization of I/O Patterns in HPC Applications
DescriptionWith the gap between computing power and I/O performance growing ever wider on HPC systems, it is becoming crucial to optimize how applications perform I/O on storage resources. To achieve this, a good understanding of application I/O behavior is an essential preliminary step. In this paper, we introduce MOSAIC, a method for categorizing applications according to their I/O behavior. We first propose an abstraction for characterizing I/O operations in terms of periodicity, temporality and metadata access. We then present a set of segmentation-based techniques for quickly and automatically detecting meaningful data access patterns. In the end, MOSAIC is able to characterize a full set of real-world I/O traces from the Blue Waters supercomputer with 92% accuracy.
Event Type
Workshop
TimeSunday, 17 November 202411am - 11:30am EST
LocationB309
Tags
Data Movement and Memory
I/O, Storage, Archive
Registration Categories
W