| Document Date: 2008-06-06 12:06:08
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City Washington / DC / Stuttgart / / Company AMD / NVidia / GPU / / Country Germany / United States / / Currency USD / / / Facility Sven Simon Institute / / IndustryTerm large systems / blockparallel entropy coding algorithm / raw processing power / sequential data compression algorithm / arithmetic co-processors / entropy coding algorithms / statistical lossless data compression algorithm / external file comparison tool / performance computing systems / fundamental lossless algorithms / multi-processor / post-processing / high processing speed / compression algorithms / streaming processors / parallel systems / purpose graphics hardware / data compression algorithms / compression utilities / parallel computing systems / / Organization Sven Simon Institute for Parallel and Distributed Systems / IEEE Computer Society / / Person Marek Wroblewski / Lars Rockstroh / Ana Balevic / Allen / Claude Shannon / / Position General / / ProgrammingLanguage DC / / PublishedMedium Computer Graphics / / Technology 128 streaming processors / two fundamental lossless algorithms / statistical lossless data compression algorithm / RAM / data compression algorithms / blockparallel entropy coding algorithm / entropy coding algorithms / sequential data compression algorithm / Simulation / adaptive Huffman algorithms / arithmetic co-processors / Lossless compression algorithms / /
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Using Arithmetic Coding for Reduction of Resulting Simulation Data Size on Massively Parallel GPGPUs Ana Balevic, Lars Rockstroh, Marek Wroblewski, and Sven Simon Institute for Parallel and Distributed Systems, Universit