Malcolm Yoke Hean Low

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Parallel and Distributed Computing Related Links

Posted on Sunday, January 22, 2006 at 12:20 AM by Malcolm

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  • Gustafson Law: Reevaluating Amdahl's Law

    (Link) Parallelizing an algorithm, however, will soon run into Amdahl's Law, which states that the speedup from parallelizing a process is an inverse function of the portion of the process that is necessarily sequential. Thus, not only do we need good algorithms to minimize the sequential portion of a process, but there is also an upper bound to the speedup we can achieve, even with an infinite number of parallel processors.

    While that may be a depressing result, parallel processing has been rescued by Gustafson's Law, which states that while the speedup for a fixed-size process is indeed limited by Amdahl's Law, we can achieve nearly linear speedups if we consider the amount of processing that can be done in a fixed period.






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Edited on: Friday, October 17, 2008 10:04 AM

Posted in HPC (RSS), Research (RSS)