Multimedia vectorization of floating-point MIN/MAX reductions: Research Articles

  • Authors:

  • Aart J. C. Bik;Xinmin Tian;Milind B. Girkar

  • Affiliations:

  • Software and Solutions Group, Intel Corporation, 3600 Juliette Lane, Santa Clara, CA 95054, U.S.A.;Software and Solutions Group, Intel Corporation, 3600 Juliette Lane, Santa Clara, CA 95054, U.S.A.;Software and Solutions Group, Intel Corporation, 3600 Juliette Lane, Santa Clara, CA 95054, U.S.A.

  • Venue:
  • Concurrency and Computation: Practice & Experience
  • Year:
  • 2006

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Abstract

Finding the minimum or maximum value in an array forms an important step in a variety of applications. This paper discusses vectorization schemes that take advantage of the streaming-SIMD-extensions in commonly used floating-point MIN and MAX reductions. Performance advantages are demonstrated with experimental results. Copyright © 2006 John Wiley & Sons, Ltd.