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KLASKY S.: Exploring power behaviors and trade-offs of in-situ data analytics (2013)
| Venue: | In Proceedings of SC13: International Conference for High Performance Computing, Networking, Storage and Analysis (New |
| Citations: | 1 - 0 self |
BibTeX
@INPROCEEDINGS{Gamell13klaskys.:,
author = {Marc Gamell and Ivan Rodero and Manish Parashar and Janine C Bennett and Hemanth Kolla and Jacqueline Chen and Lawrence Livermore and Aaditya G Landge and Attila Gyulassy and Patrick Mccormick and Scott Pakin and Valerio Pascucci and Scott Klasky},
title = {KLASKY S.: Exploring power behaviors and trade-offs of in-situ data analytics},
booktitle = {In Proceedings of SC13: International Conference for High Performance Computing, Networking, Storage and Analysis (New},
year = {2013}
}
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Abstract
ABSTRACT As scientific applications target exascale, challenges related to data and energy are becoming dominating concerns. For example, coupled simulation workflows are increasingly adopting in-situ data processing and analysis techniques to address costs and overheads due to data movement and I/O. However it is also critical to understand these overheads and associated trade-offs from an energy perspective. The goal of this paper is exploring data-related energy/performance trade-offs for end-to-end simulation workflows running at scale on current high-end computing systems. Specifically, this paper presents: (1) an analysis of the data-related behaviors of a combustion simulation workflow with an insitu data analytics pipeline, running on the Titan system at ORNL; (2) a power model based on system power and data exchange patterns, which is empirically validated; and (3) the use of the model to characterize the energy behavior of the workflow and to explore energy/performance tradeoffs on current as well as emerging systems.
