NDLI: Maotai: View-Oriented Parallel Programming on CMT Processors

Content Provider	IEEE Xplore Digital Library
Author	Jiaqi Zhang Zhiyi Huang Wenguang Chen Qihang Huang Weimin Zheng
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Tsinghua Univ., Beijing (Jiaqi Zhang)
Abstract	View-oriented parallel programming (VOPP) is a novel parallel programming model which uses views for communication between multiple processes. With the introduction of views, mutual exclusion and shared data access are bundled together, which offers both convenience and high performance to parallel programming. This paper presents the implementation of VOPP on chip-multi threading processors, e.g. UltraSPARC T1. We demonstrate that our implementation of VOPP on multi-core platforms (namely Maotai) shows significantly better performance than directly applying the original DSM implementation of VOPP (namely VODCA) on our platform. Besides, we compare the performance of VOPP with MPI and OpenMP. The experimental results demonstrate that VOPP has better scalability than both MPI and OpenMP on our platform.
Starting Page	636
Ending Page	643
File Size	206651
Page Count	8
File Format	PDF
ISBN	9780769533742
ISSN	01903918
DOI	10.1109/ICPP.2008.15
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parallel programming Random access memory Message passing Program processors Artificial neural networks Computational modeling Programming DSM Chip-multi threading VOPP OpenMP MPI
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Maotai 3.0: Automatic Detection of View Access in VOPP

Abstract performance comparison between vopp and mpi.

An improved dsm system design and implementation.

View-oriented parallel programming on cmt processors.

Performance evaluation of MPI and hybrid MPI+OpenMP programming paradigms on multi-core processors cluster

MPI based cluster computing for performance evaluation of parallel applications

Implementation of parallel convolution based on MPI

Performance evaluation and comparison of MPI and PVM using a cluster based parallel computing architecture

Distributed parallel computing technique for EM modeling

Maotai: View-Oriented Parallel Programming on CMT Processors

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Maotai: View-Oriented Parallel Programming on CMT Processors