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Cascaded Execution: Speeding Up Unparallelized Execution on Shared-Memory Multiprocessors Ruth E. Anderson, Thu D. Nguyen, and John Zahorjan Department of Computer Science and Engineering, BoxUniversity of Washin
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Document Date: 2003-05-13 13:55:10


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File Size: 90,57 KB

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Netherlands / Spain / /

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Reorganization / /

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University of Oregon / M. W. Hall / University of Washington / Computational Science Institute / /

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numerical applications / benchmark applications / target processor / consistent shared-memory multi-processors / parallel applications / scalar processors / Software environment / compiler algorithm / software-controlled prefetching / implementable simultaneous multithreading processor / enough processors / idle processors / computing / multi-processors / /

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John Zahorjan Department of Computer Science and Engineering / University of Oregon / National Science Foundation / National Center for Supercomputing Applications / Department of Computer Science and Engineering / Computational Science Institute / Center for Reliable and High Performance Computing / University of Washington / Seattle / /

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Frederic Mokren / J. Zahorjan / R. E. Anderson / T. D. Nguyen / T. Leung / Jan Cuny / John Zahorjan / /

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three processors / consistent shared-memory multi-processors / four processors / 4 200MHz Pentium Pro processors / R10000 processors / 1 Processor / exactly one processor / otherwise idle processors / 1.3 1.2 1.2 1.1 1.1 1.0 1 2 3 Processors / super scalar processors / Operating Systems / 4 Pentium Pro processors / two processor / 8 R10000 processors / target processor / 2 4 3 4 5 6 Processors / one processor / 4 processors / 00000 11111 11111 00000 parallel section Processor / implementable simultaneous multithreading processor / compiler algorithm / simulation / /

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