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

EVENT TYPE: Papers

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

ROOM:205/207

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 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