1:30 PM-3:30 PM
Parallel processing systems make it possible to solve large, complex scientific problems that are otherwise intractable or prohibitively expensive. The scheduling policies that allocate/manage system resources among the applications submitted for execution have a significant impact on the performance of these scientific computing environments. Software support and algorithms are needed at both the system and application levels to achieve the best performance and to ease the management of system resources. The full benefits of parallel processing for scientific computing can only be realized by exploiting optimal, or near-optimal, resource scheduling methods at both the system and application levels.
The speakers in this minisymposium will present new scheduling methods and systems and novel scheduling approaches and systems that are shown to provide significant performance improvements over existing methods.
Organizer: Mark S. Squillante
IBM T. J. Watson Research Center
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