HPC

Results: 2171



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151

TOTALVIEW® FOR HPC REFERENCE GUIDE VersionROGUE WAVE SOFTWARE WWW.ROGUEWAVE.COM

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Source URL: docs.roguewave.com

- Date: 2016-11-11 14:52:20
    152

    Cloud Friendly Load Balancing for HPC Applications: Preliminary Work Osman Sarood, Abhishek Gupta and Laxmikant V. Kal´e Department of Computer Science University of Illinois at Urbana-Champaign Urbana, IL 61801, USA sa

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    Source URL: charm.cs.illinois.edu

    - Date: 2012-06-26 18:39:59
      153

      A ‘Cool’ Way of Improving the Reliability of HPC Machines Osman Sarood Esteban Meneses Laxmikant V. Kale

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      Source URL: charm.cs.illinois.edu

      - Date: 2013-08-05 20:24:40
        154

        Optimizing Power Allocation to CPU and Memory Subsystems in Overprovisioned HPC Systems Osman Sarood, Akhil Langer, Laxmikant Kal´e Barry Rountree, Bronis de Supinski

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        Source URL: charm.cs.illinois.edu

        - Date: 2013-08-05 20:25:35
          155

          Assessing Energy Efficiency of Fault Tolerance Protocols for HPC Systems Esteban Meneses, Osman Sarood and Sanjay Kal´e Parallel Programming Laboratory University of Illinois at Urbana-Champaign

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          Source URL: charm.cs.illinois.edu

          - Date: 2012-10-26 15:24:07
            156

            Programmation et Exploitation des Platesformes HPC: D´ efis et challenges Fran¸cois Bodin, Jean-Fran¸cois M´ehaut To cite this version:

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            Source URL: hal.archives-ouvertes.fr

            - Date: 2016-12-27 05:55:22
              157

              A `Cool’ Way of Improving the Reliability of HPC Machines Osman Sarood, Esteban Meneses, and Laxmikant Kale !

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              Source URL: charm.cs.illinois.edu

              - Date: 2013-11-20 13:25:18
                158

                TOTALVIEW® FOR HPC GETTING STARTED GUIDE VersionROGUE WAVE SOFTWARE WWW.ROGUEWAVE.COM

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                Source URL: docs.roguewave.com

                - Date: 2016-11-11 14:52:16
                  159

                  Scheduling for HPC Systems with Process Variation Heterogeneity Ehsan Totoni, Akhil Langer, Josep Torrellas, Laxmikant V. Kale Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801,

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                  Source URL: charm.cs.illinois.edu

                  - Date: 2014-11-14 06:21:07
                    160

                    THREE REASONS TO DEPLOY NVIDIA TESLA K80 IN YOUR DATA CENTER. The path forward is accelerated. Traditional CPUs no longer deliver performance gains like they used to, and HPC experts agree that only accelerated computing

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                    Source URL: images.nvidia.com

                    - Date: 2016-03-30 21:08:48
                      UPDATE