'Experimental framework' presentation slideshows

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State or Nature: Formal vs. Informal Sanctioning in a Voluntary Contribution Game

State or Nature: Formal vs. Informal Sanctioning in a Voluntary Contribution Game

State or Nature: Formal vs. Informal Sanctioning in a Voluntary Contribution Game. Kenju Kamei* Louis Putterman* Jean-Robert Tyran** * Brown University ** University of Copenhagen University of Vienna. Why State or Nature?.

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534 views • 45 slides
Octavo: An FPGA-Centric Processor Architecture

Octavo: An FPGA-Centric Processor Architecture

Octavo: An FPGA-Centric Processor Architecture. Charles Eric LaForest J. Gregory Steffan ECE, University of Toronto FPGA 2012, February 24. Easier FPGA Programming. We focus on overlay architectures Nios , MicroBlaze , Vector Processors These inherited their architectures from ASICs

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681 views • 38 slides
Empirical Evaluation of Techniques for Measuring Available Bandwidth

Empirical Evaluation of Techniques for Measuring Available Bandwidth

Empirical Evaluation of Techniques for Measuring Available Bandwidth. 2009. 3.17 Alok Shriram and Jasleen Kaur Presented by Moonyoung Chung. Outline. Introduction Available Bandwidth ABETs Related Work Motivation and Goal Experimental Framework Experimental Results Accuracy Cost

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423 views • 31 slides
WG-MWFR activities Jeanette Onvlee Chair WWRP/WG-MWFR

WG-MWFR activities Jeanette Onvlee Chair WWRP/WG-MWFR

WG-MWFR activities Jeanette Onvlee Chair WWRP/WG-MWFR. Current membership. Dale Barker (UK Met Office) Stephane Belair (Env Can) Jimy Dudhia (NCAR) Jeanette Onvlee (chair) Mathias Rotach (Univ. Innsbruck) Kazuo Saito (JMA/MRI) Peter Steinle (BOM) Volker Wulfmeyer (Univ Hohenheim)

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429 views • 30 slides
Validation of Radio Channel Models using an Anechoic Chamber

Validation of Radio Channel Models using an Anechoic Chamber

Validation of Radio Channel Models using an Anechoic Chamber . Yuhao Zheng , David M. Nicol University of Illinois at Urbana-Champaign. Outline. Introduction & anechoic chamber Experimental framework Radio channel models Experiment results Conclusions & future works. Introduction.

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386 views • 21 slides
RESULTS

RESULTS

RESULTS. Experimental Framework. Goal Simplicity of a trace based simulator Flexibility to model special predictors ( e.g., using data values) Trace driven with pipeline timing information Tracing Methodology: Detailed timing simulator with perfect branch predictor 50M uops per trace

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198 views • 6 slides

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