| Document Date: 2008-08-23 13:26:52
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City Austin / / Company Checkpoint / IBM / Lawrence Livermore National Laboratory / Intel / Microsoft / / / Event Reorganization / Product Issues / / Facility Renaissance Computing Institute / University of North Carolina / Chapel Hill / / IndustryTerm scientific applications / parallel algorithms / internet monitoring tools / iterative algorithm / large parallel systems / aggregation tool / real-world scientific applications / parallel compression algorithm / digital imaging / signal processing / performance tools / data collection tools / convergent numerical algorithm / large systems / large-scale scientific applications / parallel applications / sensor networks / adaptive algorithms / Scientific algorithms / distributed-memory supercomputer applications / on-line measurement / online use / numerical algorithm / real-time monitoring / / NaturalFeature Chapel Hill / / OperatingSystem Linux / / Organization U.S. Department of Energy / University of North Carolina / office of Science SciDAC PERI / / Person Daniel A. Reed / Martin Schulz / Rob Fowler∗ Daniel / / / Position model for load-balance analysis / model data extraction techniques / / Product Cohen-DaubechiesFavreau 9 / Embedded Zerotree Wavelet / nodes / / ProgrammingLanguage R / E / / ProvinceOrState Texas / North Carolina / / Technology 9 / 632 processors / convergent numerical algorithm / RAM / image compression / 3-D / JPEG / Linux / API / fluid dynamics / shared memory / data-dependent / adaptive algorithms / numerical algorithm / digital imaging / iterative algorithm / Parallel Compression Algorithm / /
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Scalable Load-Balance Measurement for SPMD Codes Todd Gamblin∗ Bronis R. de Supinski† Martin Schulz†