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You can also create your personal schedule on the SC11 app (Boopsie) on your smartphone. Simply select a session you want to attend and "add" it to your plan. Continue in this manner until you have created your own personal schedule. All your events will appear under "My Event Planner" on your smartphone.
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