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

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Date: 2008-06-06 12:06:08 Entropy encoding Lossless data compression Arithmetic coding GPGPU Huffman coding Texture compression LZ77 and LZ78 Range encoding Lossy compression Data compression Information theory Computing		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 Add to Reading List Source URL: tesla.rcub.bg.ac.rs Download Document from Source Website File Size: 1.009,18 KB Share Document on Facebook

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