GPGPU

Results: 1378



#Item
1Object Support in an Array-Based GPGPU Extension for Ruby Matthias Springer Hidehiko Masuhara  Department of Mathematical and Computing Sciences, Tokyo Institute of Technology, Japan

Object Support in an Array-Based GPGPU Extension for Ruby Matthias Springer Hidehiko Masuhara Department of Mathematical and Computing Sciences, Tokyo Institute of Technology, Japan

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Source URL: m-sp.org

Language: English - Date: 2018-09-27 01:14:42
245 Introduction to GPGPU for AI Conan Bourke and Tomasz Bednarz 45.1	 45.2

45 Introduction to GPGPU for AI Conan Bourke and Tomasz Bednarz 45.1 45.2

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Source URL: www.gameaipro.com

Language: English - Date: 2016-03-13 03:48:23
    3Fast GPGPU Based Quadtree Construction Joshua Gluck Advisor: Andrew Danner May 1, 2014 Abstract We introduce a method for fast quadtree construction on the Graphics Processing

    Fast GPGPU Based Quadtree Construction Joshua Gluck Advisor: Andrew Danner May 1, 2014 Abstract We introduce a method for fast quadtree construction on the Graphics Processing

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    Source URL: www.synergylabs.org

    - Date: 2014-09-20 16:12:05
      4OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance Adwait Jog† Onur Kayiran† Mahmut T. Kandemir†

      OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance Adwait Jog† Onur Kayiran† Mahmut T. Kandemir†

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      Source URL: adwaitjog.github.io

      - Date: 2018-04-03 12:08:14
        5Specification and verification of GPGPU programs Stefan Blom, Marieke Huisman and Matej Mihelˇci´c University of Twente, Enschede, The Netherlands {s.c.c.blom,m.huisman}@utwente.nl November 8, 2013

        Specification and verification of GPGPU programs Stefan Blom, Marieke Huisman and Matej Mihelˇci´c University of Twente, Enschede, The Netherlands {s.c.c.blom,m.huisman}@utwente.nl November 8, 2013

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        Source URL: eprints.eemcs.utwente.nl

        - Date: 2013-11-07 12:44:35
          6Design and GPGPU Performance of Futhark’s Redomap Construct Troels Henriksen, Ken Friis Larsen, Cosmin E. Oancea HIPERFIT, Department of Computer Science, University of Copenhagen (DIKU), Denmark , kfla

          Design and GPGPU Performance of Futhark’s Redomap Construct Troels Henriksen, Ken Friis Larsen, Cosmin E. Oancea HIPERFIT, Department of Computer Science, University of Copenhagen (DIKU), Denmark , kfla

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          Source URL: hiperfit.dk

          - Date: 2016-08-24 07:43:48
            7Parallel Implementation of the Heisenberg Model using Monte Carlo on GPGPU Alessandra M. Campos, Jo˜ ao Paulo Pe¸canha, Patr´ıcia Pampanelli, Rafael B. de Almeida, Marcelo Lobosco, Marcelo B. Vieira, and S´ocrates d

            Parallel Implementation of the Heisenberg Model using Monte Carlo on GPGPU Alessandra M. Campos, Jo˜ ao Paulo Pe¸canha, Patr´ıcia Pampanelli, Rafael B. de Almeida, Marcelo Lobosco, Marcelo B. Vieira, and S´ocrates d

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            Source URL: www.gcg.ufjf.br

            - Date: 2016-07-25 19:25:41
              8A Portable High-Productivity Approach to Program Heterogeneous Systems

              A Portable High-Productivity Approach to Program Heterogeneous Systems

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              Source URL: www.des.udc.es

              Language: English - Date: 2014-06-30 07:04:48
              9access NCSA University of Illinois  Vol 24 No 3

              access NCSA University of Illinois Vol 24 No 3

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              Source URL: www.cray.com

              Language: English - Date: 2014-12-02 09:53:45
              10Operational Robustness of Accelerator Aware MPI Sadaf Alam Swiss National Supercomputing Centre (CSSC) Switzerland

              Operational Robustness of Accelerator Aware MPI Sadaf Alam Swiss National Supercomputing Centre (CSSC) Switzerland

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              Source URL: mug.mvapich.cse.ohio-state.edu

              Language: English - Date: 2015-11-20 13:17:45