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Software Programs, from Sequential to Parallel

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  • Felician ALECU

Abstract

Several methods can be applied to parallelize a program containing input/output operations but one of the most important challenges is to parallelize loops because they usually spend the most CPU time even if the code contained is very small. A loop could by parallelized by distributing iterations among processes. Every process will execute just a subset of the loop iterations range.

Suggested Citation

  • Felician ALECU, 2009. "Software Programs, from Sequential to Parallel," Oeconomics of Knowledge, Saphira Publishing House, vol. 1(2), pages 17-23, October.
    • Handle: RePEc:eok:journl:v:1:y:2009:i:2:p:17-23
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    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights

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