Programming Support for MPMD Parallel Computing in ClusterGOP

Fan CHAN; Jiannong CAO; Alvin T.S.  CHAN; Minyi GUO

Programming Support for MPMD Parallel Computing in ClusterGOP

Fan CHAN, Jiannong CAO, Alvin T.S. CHAN, Minyi GUO

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Many parallel applications involve different independent tasks with their own data. Using the MPMD model, programmers can have a modular view and simplified structure of the parallel programs. Although MPI supports both SPMD and MPMD models for programming, MPI libraries do not provide an efficient way for task communication for the MPMD model. We have developed a programming environment, called ClusterGOP, for building and developing parallel applications. Based on the graph-oriented programming (GOP) model, ClusterGOP provides higher-level abstractions for message-passing parallel programming with the support of software tools for developing and running parallel applications. In this paper, we describe how ClusterGOP supports programming of MPMD parallel applications on top of MPI. We discuss the issues of implementing the MPMD model in ClusterGOP using MPI and evaluate the performance by using example applications.

Publication: IEICE TRANSACTIONS on Information Vol.E87-D No.7 pp.1693-1702

Publication Date: 2004/07/01

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Type of Manuscript: Special Section PAPER (Special Section on Hardware/Software Support for High Performance Scientific and Engineering Computing)

Category: Software Support and Optimization Techniques

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Fan CHAN, Jiannong CAO, Alvin T.S. CHAN, Minyi GUO, "Programming Support for MPMD Parallel Computing in ClusterGOP" in IEICE TRANSACTIONS on Information, vol. E87-D, no. 7, pp. 1693-1702, July 2004, doi: .
Abstract: Many parallel applications involve different independent tasks with their own data. Using the MPMD model, programmers can have a modular view and simplified structure of the parallel programs. Although MPI supports both SPMD and MPMD models for programming, MPI libraries do not provide an efficient way for task communication for the MPMD model. We have developed a programming environment, called ClusterGOP, for building and developing parallel applications. Based on the graph-oriented programming (GOP) model, ClusterGOP provides higher-level abstractions for message-passing parallel programming with the support of software tools for developing and running parallel applications. In this paper, we describe how ClusterGOP supports programming of MPMD parallel applications on top of MPI. We discuss the issues of implementing the MPMD model in ClusterGOP using MPI and evaluate the performance by using example applications.
URL: https://globals.ieice.org/en_transactions/information/10.1587/e87-d_7_1693/_p

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@ARTICLE{e87-d_7_1693,
author={Fan CHAN, Jiannong CAO, Alvin T.S. CHAN, Minyi GUO, },
journal={IEICE TRANSACTIONS on Information},
title={Programming Support for MPMD Parallel Computing in ClusterGOP},
year={2004},
volume={E87-D},
number={7},
pages={1693-1702},
abstract={Many parallel applications involve different independent tasks with their own data. Using the MPMD model, programmers can have a modular view and simplified structure of the parallel programs. Although MPI supports both SPMD and MPMD models for programming, MPI libraries do not provide an efficient way for task communication for the MPMD model. We have developed a programming environment, called ClusterGOP, for building and developing parallel applications. Based on the graph-oriented programming (GOP) model, ClusterGOP provides higher-level abstractions for message-passing parallel programming with the support of software tools for developing and running parallel applications. In this paper, we describe how ClusterGOP supports programming of MPMD parallel applications on top of MPI. We discuss the issues of implementing the MPMD model in ClusterGOP using MPI and evaluate the performance by using example applications.},
keywords={},
doi={},
ISSN={},
month={July},}

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TY - JOUR
TI - Programming Support for MPMD Parallel Computing in ClusterGOP
T2 - IEICE TRANSACTIONS on Information
SP - 1693
EP - 1702
AU - Fan CHAN
AU - Jiannong CAO
AU - Alvin T.S. CHAN
AU - Minyi GUO
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E87-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2004
AB - Many parallel applications involve different independent tasks with their own data. Using the MPMD model, programmers can have a modular view and simplified structure of the parallel programs. Although MPI supports both SPMD and MPMD models for programming, MPI libraries do not provide an efficient way for task communication for the MPMD model. We have developed a programming environment, called ClusterGOP, for building and developing parallel applications. Based on the graph-oriented programming (GOP) model, ClusterGOP provides higher-level abstractions for message-passing parallel programming with the support of software tools for developing and running parallel applications. In this paper, we describe how ClusterGOP supports programming of MPMD parallel applications on top of MPI. We discuss the issues of implementing the MPMD model in ClusterGOP using MPI and evaluate the performance by using example applications.
ER -