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Poster reception---Harnessing grid resources to enable the dynamic analysis of large astronomy datasets
2006
Proceedings of the 2006 ACM/IEEE conference on Supercomputing - SC '06
Grid computing has emerged as an important new field focusing on large-scale resource sharing and high-performance orientation. The astronomy community has an abundance of imaging datasets at its disposal which are essentially the "crown jewels" for the astronomy community. However, these astronomy datasets are generally terabytes in size and contain hundreds of millions of objects separated into millions of files-factors that make many analyses impractical to perform on small computers. The
doi:10.1145/1188455.1188611
dblp:conf/sc/RaicuFS06
fatcat:l5mjdomo4rd45em2dz4ib52pyq