SCHEDULE: NOV 12-18, 2011

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FLAMBES: Evolving Fast Performance Models

SESSION: Research Poster Reception

EVENT TYPE: ACM Student Research Competition Poster, Poster, Electronic Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR: Bernd Mohr

AUTHOR(S):Adam A. Crume, Carlos Maltzahn, Jason Cope, Sam Lang, Rob Ross, Chris Carothers

ROOM:WSCC North Galleria 2nd/3rd Floors

ABSTRACT:
Large clusters and supercomputers are simulated to aid in design. Many devices, such as hard drives, are slow to simulate. Our approach is to use a genetic algorithm to fit parameters for an analytical model of a device. Fitting focuses on aggregate accuracy rather than request-level accuracy since individual request times are irrelevant in large simulations. The model is fitted to traces from a physical device or a known device-accurate model. This is done once, offline, before running the simulation. Execution of the model is fast, since it only requires a modest amount of floating point math and no event queueing. Only a few floating point numbers are needed for state. Compared to an event-driven model, this trades a little accuracy for a large gain in performance.

Chair/Author Details:

Bernd Mohr (Chair) - Juelich Supercomputing Centre

Adam A. Crume - University of California, Santa Cruz

Carlos Maltzahn - University of California, Santa Cruz

Jason Cope - Argonne National Laboratory

Sam Lang - Argonne National Laboratory

Rob Ross - Argonne National Laboratory

Chris Carothers - Renssalaer Polytechnic University

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