Parallel compression

Results: 29



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1Scalable Compression and Replay of Communication Traces in Massively Parallel Environments ∗ Michael Noeth1 , Frank Mueller1 , Martin Schulz2 , Bronis R. de Supinski2 1

Scalable Compression and Replay of Communication Traces in Massively Parallel Environments ∗ Michael Noeth1 , Frank Mueller1 , Martin Schulz2 , Bronis R. de Supinski2 1

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Source URL: moss.csc.ncsu.edu

- Date: 2006-12-13 14:17:45
    2NESUS  IC1305 Network for Sustainable Ultrascale Computing

    NESUS IC1305 Network for Sustainable Ultrascale Computing

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    Source URL: www.inesc-id.pt

    Language: English - Date: 2015-02-23 04:02:57
    3A New Efficient VLSI Architecture for Full Search Block Matching Motion Estimation Nuno Roma and Leonel Sousa Instituto Superior Técnico / INESC-ID, Lisboa, Portugal  Abstract:

    A New Efficient VLSI Architecture for Full Search Block Matching Motion Estimation Nuno Roma and Leonel Sousa Instituto Superior Técnico / INESC-ID, Lisboa, Portugal Abstract:

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    Source URL: www.inesc-id.pt

    Language: English - Date: 2005-11-28 09:18:28
    4Parallel ODETLAP for Terrain Compression and Reconstruction Jared Stookey Zhongyi Xie  ECSE Dept, RPI

    Parallel ODETLAP for Terrain Compression and Reconstruction Jared Stookey Zhongyi Xie ECSE Dept, RPI

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    Source URL: www.cs.rpi.edu

    Language: English - Date: 2008-09-21 17:04:26
    51160  IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 12, NO. 12, DECEMBER 2002 Transactions Letters________________________________________________________________ Efficient and Configurable Full-Se

    1160 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, VOL. 12, NO. 12, DECEMBER 2002 Transactions Letters________________________________________________________________ Efficient and Configurable Full-Se

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    Source URL: www.inesc-id.pt

    Language: English - Date: 2005-11-28 09:11:59
    62011 IEEE International Parallel & Distributed Processing Symposium  Evaluating Adaptive Compression to Mitigate the Effects of Shared I/O in Clouds Matthias Hovestadt, Odej Kao, Andreas Kliem and Daniel Warneke Technisc

    2011 IEEE International Parallel & Distributed Processing Symposium Evaluating Adaptive Compression to Mitigate the Effects of Shared I/O in Clouds Matthias Hovestadt, Odej Kao, Andreas Kliem and Daniel Warneke Technisc

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    Source URL: stratosphere.eu

    Language: English - Date: 2016-05-27 12:05:58
    7PACE Parallel Architecture for Cloud Encoding Vanguard Video’s PACE delivers a robust software framework for implementing optimally parallelized HEVC and H.264 encoding by distributing an incoming media stream among se

    PACE Parallel Architecture for Cloud Encoding Vanguard Video’s PACE delivers a robust software framework for implementing optimally parallelized HEVC and H.264 encoding by distributing an incoming media stream among se

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    Source URL: www.vanguardvideo.com

    Language: English - Date: 2016-04-04 12:47:34
    8CUDA-Accelerated ODETLAP: A Parallel Lossy Compression Implementation [Extended Abstract] Daniel N. Benedetti∗  1.

    CUDA-Accelerated ODETLAP: A Parallel Lossy Compression Implementation [Extended Abstract] Daniel N. Benedetti∗ 1.

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    Source URL: www-cs.engr.ccny.cuny.edu

    Language: English - Date: 2013-10-15 14:47:33
      9Using 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

      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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      Source URL: tesla.rcub.bg.ac.rs

      Language: English - Date: 2008-06-06 12:06:08
      10Fine-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

      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

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      Source URL: tesla.rcub.bg.ac.rs

      Language: English - Date: 2009-07-09 04:11:16