Parallel loop self-scheduling for heterogeneous cluster systems with multi-core computers

Chao-Chin Wu; Lien-Fu Lai; Po Hsun Chiu

doi:10.1109/APSCC.2008.166

Parallel loop self-scheduling for heterogeneous cluster systems with multi-core computers

Chao-Chin Wu, Lien-Fu Lai, Po Hsun Chiu

Department of Computer Science and Information Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

Multicore computers have been widely included in cluster systems. They are shared memory architecture. However, previous research on parallel loop selfscheduling 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.

Original language	English
Title of host publication	Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008
Publisher	IEEE Computer Society
Pages	251-256
Number of pages	6
ISBN (Print)	9780769534732
DOIs	https://doi.org/10.1109/APSCC.2008.166
Publication status	Published - 2008 Jan 1
Event	3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008 - Yilan, Taiwan Duration: 2008 Dec 9 → 2008 Dec 12

Other

Other	3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008
Country	Taiwan
City	Yilan
Period	08-12-09 → 08-12-12

All Science Journal Classification (ASJC) codes

Computer Science Applications
Software
Electrical and Electronic Engineering

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10.1109/APSCC.2008.166

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Cite this

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title = "Parallel loop self-scheduling for heterogeneous cluster systems with multi-core computers",

abstract = "Multicore computers have been widely included in cluster systems. They are shared memory architecture. However, previous research on parallel loop selfscheduling 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.",

author = "Chao-Chin Wu and Lien-Fu Lai and Chiu, {Po Hsun}",

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Wu, C-C , Lai, L-F & Chiu, PH 2008, Parallel loop self-scheduling for heterogeneous cluster systems with multi-core computers. in Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008., 4780684, IEEE Computer Society, pp. 251-256, 3rd IEEE Asia-Pacific Services Computing Conference, APSCC 2008, Yilan, Taiwan, 08-12-09. https://doi.org/10.1109/APSCC.2008.166

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