SCHEDULE: NOV 16-22, 2013
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Framework for Optimizing Power, Energy, and Performance
SESSION: Research Poster Reception
EVENT TYPE: Posters, Electronic Posters, and Education Posters, Awards, Best Poster Finalist
TIME: 5:15PM - 7:00PM
AUTHOR(S):Prasanna Balaprakash, Ananta Tiwari, Stefan Wild
ROOM:Mile High Pre-Function
ABSTRACT:
Code optimization in the high-performance computing realm has traditionally focused on reducing execution time. The problem, in mathematical terms, has been expressed as a single objective optimization problem. The expected concerns of next-generation systems, however, demand a more detailed analysis of the interplay among execution time and other metrics. Metrics such as power, performance, energy, and resiliency may all be targeted together and traded against one another. We present a multi-objective formulation of the code optimization problem. Our proposed framework helps one explore potential tradeoffs among multiple objectives and provides a significantly richer analysis than can be achieved by treating additional metrics as hard constraints.
We empirically examine a variety of metrics, architectures, and code optimization decisions and provide evidence that such tradeoffs exist in practice.
Chair/Author Details:
Prasanna Balaprakash - Argonne National Laboratory
Ananta Tiwari - San Diego Supercomputer Center
Stefan Wild - Argonne National Laboratory
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