The performance of a parallel TSP program and byte sequential benchmarks executing on a shared cluster

Wong, Adam and Goscinski, Andrzej 2007, The performance of a parallel TSP program and byte sequential benchmarks executing on a shared cluster, International journal of high performance computing applications, vol. 21, no. 4, pp. 443-455.

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Title The performance of a parallel TSP program and byte sequential benchmarks executing on a shared cluster
Author(s) Wong, Adam
Goscinski, Andrzej
Journal name International journal of high performance computing applications
Volume number 21
Issue number 4
Start page 443
End page 455
Publisher Sage Science Press
Place of publication Thousand Oaks, CA
Publication date 2007
ISSN 1094-3420
Keyword(s) non-dedicated clusters
load-balancing scheduling
performance evalution
Summary Although individual PCs of a cluster are used by their owners to run sequential applications (local jobs), the cluster as a whole or its subset can also be employed to run parallel applications (cluster jobs) even during working hours. This implies that these computers have to be shared by parallel and sequential applications, which could lead to the improvement of the execution performance and resource utilization. However, there is a lack of experimental study showing the behavior and performance of executing parallel and sequential applications concurrently on a non-dedicated cluster. The result of such research would be beneficial for the development of new global scheduling algorithms. We present the result of an experimental study into scheduling of a mixture of parallel and sequential applications on a non-dedicated cluster. The aim of this study is to learn how the concurrent execution of a communication intensive parallel application and sequential applications influences their execution performance and utilization of the cluster.
Language eng
Field of Research 080399 Computer Software not elsewhere classified
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30007300

Document type: Journal Article
Collection: School of Engineering and Information Technology
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