@inproceedings{9721d976a2cb41ab894f0eda6150b2f2,
title = "Application-aware management parallel simulation collections",
abstract = "This paper presents a system deployed on parallel clusters to manage a collection of parallel simulations that make up a computational study. It explores how such a system can extend traditional parallel job scheduling and resource allocation techniques to incorporate knowledge specific to the study. Using a UINTAH-based helium gas simulation code (ARCHES) and the SimX system for multi-experiment computational studies, this paper demonstrates that, by using application-specific knowledge in resource allocation and scheduling decisions, one can reduce the run time of a computational study from over 20 hours to under 4.5 hours on a 32-processor cluster, and from almost 11 hours to just over 3.5 hours on a 64-processor cluster.",
keywords = "High-throughput computing, Parallel system",
author = "Yau, {Siu Man} and Vijay Karamcheti and Denis Zorin and Kostadin Damevski and Parker, {Steven G.}",
year = "2009",
doi = "10.1145/1504176.1504184",
language = "English (US)",
isbn = "9781605583976",
series = "Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP",
pages = "35--44",
booktitle = "Proceedings of the 2009 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP'09",
note = "2009 ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP'09 ; Conference date: 14-02-2009 Through 18-02-2009",
}