Computer performance

Results: 6359



#Item
71

Commonly Used Distributions • Random number generation algorithms for distributions commonly used by computer systems performance analysts. • Organized alphabetically for reference • For each distribution:

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Source URL: www.cs.wustl.edu

- Date: 2003-11-17 02:09:24
    72

    NNH: Improving Performance of Nearest-Neighbor Searches Using Histograms Liang Jin1 , Nick Koudas2 , and Chen Li1 1 Information and Computer Science, University of California, Irvine, CA 92697, USA

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    Source URL: flamingo.ics.uci.edu

    - Date: 2013-04-16 21:54:27
      73

      Towards a MapReduce Application Performance Model Jared Gray Dept. of Mathematics and Computer Science Denison University

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      Source URL: personal.denison.edu

      - Date: 2015-11-10 08:26:34
        74

        Acquiring Object Experiences at Scale John Oberlin and Maria Meier and Tim Kraska and Stefanie Tellex Computer Science Department Brown University Abstract—The aim of this project is to improve the performance of auto

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        Source URL: h2r.cs.brown.edu

        - Date: 2016-03-28 19:05:30
          75

          Design of Parallel and High Performance Computing HS 2015 Torsten Hoefler, Markus P¨ uschel Department of Computer Science ETH Zurich

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          Source URL: spcl.inf.ethz.ch

          - Date: 2015-10-14 18:39:31
            76

            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
              77

              A TCP with Guaranteed Performance in Networks with Dynamic Congestion and Random Wireless Losses Stefan Schmid, Roger Wattenhofer {schmiste, wattenhofer}@tik.ee.ethz.ch Computer Engineering and Networks Laboratory

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              Source URL: disco.ethz.ch

              - Date: 2014-09-26 08:36:30
                78

                © Markus Püschel Computer Science Project: Rules Design of Parallel and High Performance Computing

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                Source URL: spcl.inf.ethz.ch

                - Date: 2014-09-25 10:46:03
                  79

                  Measuring the Effects of Interruptions on Task Performance in the User Interface Brian P.Bailey, Joseph A. Konstan, and John V. Carlis University of Minnesota Department of Computer Science and Engineering Minneapolis, M

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                  Source URL: orchid.cs.illinois.edu

                  - Date: 2014-11-23 12:08:36
                    80

                    Design of Parallel and High Performance Computing HS 2013 Markus P¨ uschel, Torsten Hoefler Department of Computer Science ETH Zurich

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                    Source URL: spcl.inf.ethz.ch

                    - Date: 2013-11-01 11:39:45
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