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Expose Parallelism by Avoiding or Removing Artificial Dependencies

Many applications and algorithms contain serial optimizations that inadvertently introduce data dependencies and inhibit parallelism. One can often remove such dependences through simple transforms, or even avoid them altogether through techniques such as domain decomposition or blocking.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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Intel ISN

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Web03 | 2.8.140709.1 | Last Updated 8 Apr 2010
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