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PRODID:-//Microsoft Corporation//Outlook MIMEDIR//EN
VERSION:1.0
BEGIN:VEVENT
DTSTART:20111116T011500Z
DTEND:20111116T030000Z
LOCATION:WSCC North Galleria 2nd/3rd Floors
DESCRIPTION;ENCODING=QUOTED-PRINTABLE: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.
SUMMARY:FLAMBES: Evolving Fast Performance Models
PRIORITY:3
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