NDLI: Parallel Processing on WRF Meteorological Data Using MPICH

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2013 Seventh International Conference on Internet Computing for Engineering and Science

2012 Sixth International Conference on Internet Computing for Science and Engineering

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A Petri Net Semantics for Web Service in Choreography Description Language

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Group Secret Key Generation Algorithm from Wireless Signal Strength

Modeling and Performance Evaluation of IEEE 1394b Bus with Deterministic and Stochastic Petri Net

Network Analysis of mTOR Regulator

P2P-based Video-on-Demand Service Using Multiple Cache Replacement Algorithm

Parallel Processing on WRF Meteorological Data Using MPICH

Research on Application of RDFa in RESTful Web Services

Review of Express Self-Healing Routing

User Clustering-Based Web Service Discovery

Building the Ad Hoc Network Node Based on ARM Linux Platform

2010 Fifth International Conference on Internet Computing for Science and Engineering

2009 Fourth International Conference on Internet Computing for Science and Engineering

2008 International Conference on Internet Computing in Science and Engineering

Parallel Processing on WRF Meteorological Data Using MPICH

Content Provider	IEEE Xplore Digital Library
Author	Yongfen Wu Guanghui Xu Yanlai Zhao Yanqing Tan
Copyright Year	2012
Abstract	MPICH is a freeware for implementing message passing interface (a utility library for parallel computing). It has been widely used as a major technique in parallel computing on a cluster system. In this paper, we focus on the MPICH-based parallel application for processing meteorological data. After building up a small-scale and MPICH-installed PC cluster, we parallelize the algorithm for the Weather Research and Forecasting (WRF) meteorological model. Experimental results using the parallel model are compared with the results using the Galaxy V mainframe. We find that the parallel cluster can be reasonably considered as the parallel facility for small-scale HPC applications.
Starting Page	262
Ending Page	265
File Size	176781
Page Count	4
File Format	PDF
ISBN	9781467316835
e-ISBN	9780769547053
DOI	10.1109/ICICSE.2012.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Weather forecasting Parallel processing Predictive models meteorological data MPICH distributed Numerical models Servers parallel computing
Content Type	Text
Resource Type	Article

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