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Image processing applications performance study on Cell BE and Blue Gene/L
Author(s) -
ElMoursy Ali A.,
Sibai Fadi N.
Publication year - 2010
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.1646
Subject(s) - scalability , computer science , overhead (engineering) , set (abstract data type) , massively parallel , multi core processor , core (optical fiber) , enhanced data rates for gsm evolution , focus (optics) , image (mathematics) , image processing , parallel computing , computer hardware , computer architecture , artificial intelligence , telecommunications , database , operating system , physics , optics , programming language
Two image processing applications, edge detection and image resizing, are studied in this paper on two HPC platforms namely the Cell BE and the Blue Gene/L machines. In this paper we focus on the performance scalability of the studied applications. Our results show that the scale of the problem to be solved highly affects the fitness of the platform. If the data set size is to fit into the Cell core, the fast on‐chip inter‐core communication of a multi‐core system pays back for its high technology design. On the other hand, the overhead of the distant communication in the massively parallel Blue Gene/L machine will only show its benefits for huge data set size that otherwise mandates multiple round‐trip data communications between the local memory of a core and main memory. Copyright © 2010 John Wiley & Sons, Ltd.