SC13 Home > SC13 Schedule > SC13 Presentation - Exploring Power Behaviors and Trade-offs of In-Situ Data Analytics

SCHEDULE: NOV 16-22, 2013

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Exploring Power Behaviors and Trade-offs of In-Situ Data Analytics

SESSION: In-Situ Data Analytics and Reduction


TIME: 2:00PM - 2:30PM

SESSION CHAIR: Dimitris Nikolopoulos

AUTHOR(S):Marc Gamell, Ivan Rodero, Manish Parashar, Janine C. Bennett, Attila Gyulassy, Valerio Pascucci, Patrick McCormick, Scott Klasky, Scott Pakin, Hemanth Kolla, Peer-Timo Bremer, Jacqueline Chen, Aaditya G. Landge


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 in-situ 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 trade-offs on current as well as emerging systems.

Chair/Author Details:

Dimitris Nikolopoulos (Chair) - Queen's University Belfast

Marc Gamell - Rutgers University

Ivan Rodero - Rutgers University

Manish Parashar - Rutgers University

Janine C. Bennett - Sandia National Laboratories

Attila Gyulassy - University of Utah

Valerio Pascucci - University of Utah and Pacific Northwest National Laboratory

Patrick McCormick - Los Alamos National Laboratory

Scott Klasky - Oak Ridge National Laboratory

Scott Pakin - Los Alamos National Laboratory

Hemanth Kolla - Sandia National Laboratories

Peer-Timo Bremer - Lawrence Livermore National Laboratory

Jacqueline Chen - Sandia National Laboratories

Aaditya G. Landge - University of Utah

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The full paper can be found in the ACM Digital Library