SHERP

Overcoming performance bottlenecks in using OpenMP on SMP clusters

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Authors
Jeun, Woo-Chul; Kee, Yang-Suk; Ha, Soonhoi; Kee, Changdon
Issue Date
2008-10
Publisher
Elsevier
Citation
Parallel Computing 34 (2008) 570-592
Keywords
OpenMPParallel programming environmentSMP cluster
Abstract
This paper presents a new parallel programming environment called ParADE to enable
easy, portable, and high-performance computing for SMP clusters. Different from the prior
studies, ParADE separates the programming model from the execution model: it enables
shared-address-space programming while it realizes hybrid execution of message-passing
and shared-address-space. To overcome the poor performance of conventional OpenMP on
SDSM (Software Distributed Shared Memory), ParADE implements an intelligent OpenMP
translator supporting efficient mutual exclusion and efficient page transmission. The
experimental results on a Linux cluster demonstrate that ParADE reduces mutual exclusion
overhead and overall execution time.
ISSN
0167-8191
Language
English
URI
http://hdl.handle.net/10371/7514
DOI
https://doi.org/10.1016/j.parco.2008.06.002
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Computer Science and Engineering (컴퓨터공학부)Journal Papers (저널논문_컴퓨터공학부)
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