Fine-Grain Parallelization of Entropy Coding on GPGPUs Ana Balevic Abstract Massively parallel GPUs are increasingly used for acceleration of data-parallel functions, such as image transforms and motion estimation. The l - Parallel compression - Document - PDFSEARCH.IO

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	Fine-Grain Parallelization of Entropy Coding on GPGPUs Ana Balevic Abstract Massively parallel GPUs are increasingly used for acceleration of data-parallel functions, such as image transforms and motion estimation. The l Add to Reading List Document Date: 2009-07-09 04:11:16 Open Document File Size: 2,22 MB Share Result on Facebook Company nVidia / GPU / Intel / / Facility CUDA Compression library / / IndustryTerm fine-grain parallel compression algorithms / attractive parallel algorithm / streaming processors / motion-estimation algorithms / lossless compression algorithms / parallel compression algorithms / / Person Ana Balevic / / Technology attractive parallel algorithm / parallel compression algorithms / Shared memory / JPEG / 16 32 Conclusion The fine-grain parallel compression algorithms / motion-estimation algorithms / lossless compression algorithms / two algorithms / / SocialTag Graphics hardware GPGPU Video cards Parallel computing ISO standards CUDA Multi-core processor Lossless data compression Entropy encoding Computing

Fine-Grain Parallelization of Entropy Coding on GPGPUs Ana Balevic Abstract Massively parallel GPUs are increasingly used for acceleration of data-parallel functions, such as image transforms and motion estimation. The lAdd to Reading List