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Title: Parallel Loop Self-Scheduling for Heterogeneous Cluster Systems with Multi-Core Computers
Authors: Wu, C. C.;Lai, Lien-Fu;Chiu, P. H.
Contributors: 資訊工程學系
Date: 2008-12
Issue Date: 2012-07-02T02:26:11Z
Publisher: IEEE Computer Society Washington, DC, USA
Abstract: Multicore computers have been widely included in cluster systems. They are shared memory architecture. However, previous research on parallel loop self-scheduling did not consider the feature of multicore computers. It is more suitable for shared-memory multiprocessors to adopt OpenMP for parallel programming. Therefore, in this paper, we propose to adopt hybrid programming model MPI+OpenMP to design loop self-scheduling schemes for cluster systems with multicore computers. Initially, each computer runs only one MPI process no matter how many cores it has. A MPI process will fork OpenMP threads depending on the number of cores in the computer. Each idle slave MPI-process will request tasks from the master process. The tasks dispatched to a process will be executed in parallel by OpenMP threads. According to the experimental results, our method outperforms the previous work by 18.66% or 29.76% depending on the problem size. Moreover, the performance improvement is very stable no matter our method is based on which traditional scheme.
Relation: 2008 IEEE Asia-Pacific Services Computing Conference (IEEE APSCC 2008), Dec. 9-12, 2008: 251-256
Appears in Collections:[Department and Graduate Institute of Computer Science and Information Engineering] Proceedings

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