Multimedia vectorization of floating‐point MIN/MAX reductions | Zendy

Bik Aart J. C. | Zendy; Tian Xinmin | Zendy; Girkar Milind B. | Zendy

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Multimedia vectorization of floating‐point MIN/MAX reductions

Author(s) -

Bik Aart J. C.,

Tian Xinmin,

Girkar Milind B.

Publication year - 2006

Publication title -

concurrency and computation: practice and experience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.309

H-Index - 67

eISSN - 1532-0634

pISSN - 1532-0626

DOI - 10.1002/cpe.1009

Subject(s) - vectorization (mathematics) , simd , computer science , point (geometry) , floating point , parallel computing , value (mathematics) , variety (cybernetics) , computational science , mathematics , algorithm , artificial intelligence , geometry , machine learning

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.

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