MPICH-GQ: quality-of-service for message passing programs
Proceedings of the 2000 ACM/IEEE conference on Supercomputing
Architecture design of grid GIS and its applications on image processing based on LAN
Information Sciences—Informatics and Computer Science: An International Journal
Satellite Image Processing Applications in MedioGRID
ISPDC '06 Proceedings of the Proceedings of The Fifth International Symposium on Parallel and Distributed Computing
Distributed algorithm for change detection in satellite images for Grid Environments
ISPDC '07 Proceedings of the Sixth International Symposium on Parallel and Distributed Computing
System design and implementation of digital-image processing using computational grids
Computers & Geosciences
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The surface of the moon is scarred with millions of lunar crater, which are the remains of collisions between an asteroid, comet, or meteorite and the moon with different sizes and shapes. With the launch of Chang’s orbiter, it is available to detect the lunar crater at a high resolution. However, the Chang’s orbiter image is combined by different path/orbit images. In this study, a batch processing scheme to detect lunar crater rims from each path image is presented under a grid environment. SGE (Sun Grid Engine) and OpenPBS (Open Portable Batch System) are connected by Globus and MPICH-G2 as Linux PC Cluster respectively. And the Globus GridFTP is used for parallel transfer of different rows of Chang’s orbiter images by MPICH-G2 model. The detection algorithms on each node are executed respectively after the parallel transfer. Thus, the lunar crater rims for the experimental area are generated effectively.