Abstract | ||
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Aerosol optical depth (hearafter called AOD) is an important geophysical parameter, and its retrieval from satellite data are both data and computationally intensive. This paper presents the implementation of parallel AOD retrieval from the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data, based on IBM System Cluster 1600 deployed in Chinese Meteorological Administration (CMA), with focuses on the design of parallel algorithm through Single Program Multiple Data (SPMD) model. In order to demonstrate the parallel performance of the proposed parallel implementation, experiment of parallel AOD retrieval is given, and results show that the implementation of AOD parallel computing, as a viable cost-effective method, has great scalability on clusters machines, which can obtain optimum performance at 128 processors. Meanwhile, the parallel algorithm can be operationally used in AOD retrieval in the near future, which is an important input parameter for the air quality model. |
Year | DOI | Venue |
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2008 | 10.1109/IGARSS.2008.4779502 | IGARSS |
Keywords | Field | DocType |
parallel computation,aod parallel computing,parallel processing,remote sensing,spmd,single program multiple data model,atmospheric techniques,atmospheric optics,modis,satellite data,aerosol optical depth,parallel algorithm design,aerosols,aod,domain decomposition,geophysical signal processing,parallel aod retrieval implementation,cluster machines,chinese meteorological administration,moderate resolution imaging spectroradiometer,ibm system cluster 1600,computational modeling,optical computing,parallel algorithms,mathematical model,numerical simulation,image retrieval,radiative transfer equation,information retrieval,parallel algorithm,digital signal processing,near real time,air quality,real time computing,parallel computer,message passing interface,climate model,algorithm design and analysis,complex system,real time,atmospheric modeling,data processing,meteorology,satellites | Atmospheric optics,SPMD,Optical depth,Moderate-resolution imaging spectroradiometer,Algorithm design,Parallel algorithm,Computer science,Remote sensing,Atmospheric model,Scalability | Conference |
Volume | ISBN | Citations |
3 | 978-1-4244-2808-3 | 0 |
PageRank | References | Authors |
0.34 | 1 | 7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jianping Guo | 1 | 35 | 17.41 |
Huadong Xiao | 2 | 8 | 1.81 |
Chunxiang Cao | 3 | 33 | 18.42 |
Yong Xue | 4 | 118 | 57.61 |
Jie Guang | 5 | 50 | 26.12 |
Jianwen Ai | 6 | 34 | 7.10 |
Xiaozhou Xin | 7 | 10 | 10.44 |