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Overcoming performance bottlenecks in using OpenMP on SMP clusters
Cited 1 time in
Web of Science
Cited 3 time in Scopus
- Authors
- Issue Date
- 2008-10
- Publisher
- Elsevier
- Citation
- Parallel Computing 34 (2008) 570-592
- Keywords
- OpenMP ; Parallel programming environment ; SMP 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
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