@inproceedings{f8be0596d8d444d9b60ae700655c3ac2,
title = "A multiplatform study of i/o behavior on petascale supercomputers",
abstract = "We examine the I/O behavior of thousands of supercomputing applications {"}in the wild,{"} by analyzing the Darshan logs of over a million jobs representing a combined total of six years of I/O behavior across three leading high-performance computing platforms. We mined these logs to analyze the I/O behavior of applications across all their runs on a platform; the evolution of an application's I/O behavior across time, and across platforms; and the I/O behavior of a platform's entire workload. Our analysis techniques can help developers and platform owners improve I/O performance and I/O system utilization, by quickly identifying underperforming applications and offering early intervention to save system resources. We summarize our observations regarding how jobs perform I/O and the throughput they attain in practice.",
keywords = "HPC, Input/Output, Parallel I/O, Performance Analysis",
author = "Huong Luu and Marianne Winslett and William Gropp and Robert Ross and Philip Carns and Kevin Harms and Mr Prabhat and Suren Byna and Yushu Yao",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; 24th ACM Symposium on High-Performance Parallel and Distributed Computing, HPDC 2015 ; Conference date: 15-06-2015 Through 19-06-2015",
year = "2015",
month = jun,
day = "15",
doi = "10.1145/2749246.2749269",
language = "English (US)",
series = "HPDC 2015 - Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing",
publisher = "Association for Computing Machinery",
pages = "33--44",
booktitle = "HPDC 2015 - Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing",
address = "United States",
}