FastBit: Interactively Searching Massive Data

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As scientific instruments and computer simulations produce more and more data, the task of locating the essential information to gain insight becomes increasingly difficult. FastBit is an efficient software tool to address this challenge. In this article, we present a summary of the key underlying technologies, namely bitmap compression, encoding, and binning. Together these techniques enable FastBit to answer structured (SQL) queries orders of magnitude faster than popular database systems. To illustrate how FastBit is used in applications, we present three examples involving a high-energy physics experiment, a combustion simulation, and an accelerator simulation. In each case, FastBit significantly reduces ... continued below

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Wu, Kesheng; Ahern, Sean; Bethel, E. Wes; Chen, Jacqueline; Childs, Hank; Cormier-Michel, Estelle et al. June 23, 2009.

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As scientific instruments and computer simulations produce more and more data, the task of locating the essential information to gain insight becomes increasingly difficult. FastBit is an efficient software tool to address this challenge. In this article, we present a summary of the key underlying technologies, namely bitmap compression, encoding, and binning. Together these techniques enable FastBit to answer structured (SQL) queries orders of magnitude faster than popular database systems. To illustrate how FastBit is used in applications, we present three examples involving a high-energy physics experiment, a combustion simulation, and an accelerator simulation. In each case, FastBit significantly reduces the response time and enables interactive exploration on terabytes of data.

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  • SciDAC 2009, San Diego, CA, June 14-18, 2009

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  • Report No.: LBNL-2164E
  • Grant Number: DE-AC02-05CH11231
  • Office of Scientific & Technical Information Report Number: 964373
  • Archival Resource Key: ark:/67531/metadc931105

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  • June 23, 2009

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  • Nov. 13, 2016, 7:26 p.m.

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  • Nov. 18, 2016, 2:37 p.m.

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Wu, Kesheng; Ahern, Sean; Bethel, E. Wes; Chen, Jacqueline; Childs, Hank; Cormier-Michel, Estelle et al. FastBit: Interactively Searching Massive Data, article, June 23, 2009; Berkeley, California. (digital.library.unt.edu/ark:/67531/metadc931105/: accessed July 15, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.