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R&D 100 Award for LBNL's FastBit
An indexing technology developed by researchers at Lawrence Berkeley National Laboratory (LBNL) which allows users to search massive datasets up to 40 times faster has been recognized with a 2008 R&D 100 award. The award, presented by R&D Magazine, "provides a mark of excellence known to industry, government, and academia as proof that the product is one of the most innovative ideas of the year." The awards will be presented at a special ceremony in Chicago in October.
FastBit was developed by Kesheng "John" Wu, Arie Shoshani, Ekow Otoo, and Kurt Stockinger of the Scientific Data Management Group in LBNL's Computational Research Division. The project was supported by the Department of Energy's SciDAC program, which develops software for accelerating computational science.

Further Information
http://sdm.lbl.gov/fastbit/