Download Job Scheduling Strategies for Parallel Processing: 13th by Eitan Frachtenberg, Uwe Schwiegelshohn PDF

By Eitan Frachtenberg, Uwe Schwiegelshohn

This publication constitutes the completely refereed post-workshop lawsuits of the thirteenth overseas Workshop on task Scheduling innovations for Parallel Processing, JSSPP 2007, held in Seattle, WA, united states, in June 2007, along side the twenty first ACM overseas convention on Supercomputing, ICS 2007.

The 10 revised complete study papers awarded went during the technique of strict reviewing and next development. The papers disguise all present problems with task scheduling recommendations for parallel processing from the supercomputer-centric standpoint but additionally handle many nontraditional high-performance computing and parallel environments that can't or don't need to entry a standard supercomputer, corresponding to grids, net providers, and commodity parallel pcs. The papers are prepared in topical sections on functionality and instruments, queueing platforms, in addition to grid and heterogeneous architectures.

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Extra info for Job Scheduling Strategies for Parallel Processing: 13th International Workshop, JSSPP 2007, Seattle, WA, USA, June 17, 2007. Revised Papers

Sample text

2 Multi-core Architectures To achieve higher processor density and higher performance per watt, processor architectures are focusing on multi-core designs. CPU vendors have exploited the traditional methods to increase performance, such as higher clock speeds and improved internal parallelism, to the fullest and must now rely on providing resources for explicit parallelism. Several multi-core processor architectures that are becoming available in HP systems are discussed below. The dual-core AMD Opteron provides two 64-bit Opteron cores on a single die.

Work by Shmueli and Feitelson [21] employs backfilling but by ensuring that the job picked is the one which can offer the best utilization of the processor hole available. It however brings in an extra consideration of determining how far deep in the queue the scheduler should go 34 J. Ngubiri and M. van Vliet while searching for the job that offers best results. This is only possible if enough information about the jobs (execution time in this case) is known; in some cases, they are not known [8].

Resource Co-allocation in Computational Grids. In: Proceedings of the 8th IEEE International Symposium on High Performance and Distributed Computing, California, USA, pp. 37–47 (1999) 8. : Scheduling in the Dark. In: Proceedings of the 31st Annual ACM Symposium on Theory of Computing, pp. 179–188 (1999) 9. : Theory and Practice in Parallel Job Scheduling. , Rudolph, L. ) IPPS-WS 1997 and JSSPP 1997. LNCS, vol. 1291, pp. 1–34. Springer, Heidelberg (1997) 10. : Parallel Job Scheduling - A Status Report.

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