Parallel Processing and Performance Optimization of Meteorological Satellite Mass-Data Program

Xiao Hui Yin; Peng Dong Gao; Chu Qiu; Yong Quan Lu

doi:10.4028/www.scientific.net/AMM.263-266.192

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Parallel Processing and Performance Optimization...

Parallel Processing and Performance Optimization of Meteorological Satellite Mass-Data Program

Abstract:

We implemented parallel processing of polar-orbiting meteorological satellite MERSI data aerosol retrieval program. The parallel implementation was based on Linux cluster architecture. The master-slave parallel programming mode on MPI parallel environment was applied. Performance optimizations are made in load balance, communication overhead, storage and system I/O according to the specific environment. In addition, parallel speed-up ratio and efficiency were analyzed to evaluate the experiment results. Experimental results demonstrate that the parallel techniques and the performance optimization methods proposed here can significantly improve the efficiency of satellite mass-data processing program.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

192-197

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.192

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Online since:

December 2012

Authors:

Xiao Hui Yin*, Peng Dong Gao, Chu Qiu, Yong Quan Lu

Keywords:

Cluster, I/O Optimization, Mass-Data Processing, Parallel Computing, Storage Mode

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* - Corresponding Author

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