'Local computation' diaporamas de présentation

Local Computation Mechanism Design

Local Computation Mechanism Design. Shai Vardi , Tel Aviv University Joint work with Avinatan Hassidim & Yishay Mansour. UC Berekely , February 18 th , 2014. Motivation. Imagine a huge auction, with millions of items and hundreds of thousands of buyers.

588 views • 44 slides

Lattice Boltzmann Hybrid Auto-Tuning on High-End Computational Platforms

Lattice Boltzmann Hybrid Auto-Tuning on High-End Computational Platforms. Samuel Williams, Jonathan Carter, Leonid Oliker , John Shalf , Katherine Yelick Lawrence Berkeley National Laboratory (LBNL) National Energy Research Scientific Computing Center (NERSC) SWWilliams@lbl. gov.

585 views • 42 slides

Galois Performance

Galois Performance. Mario Mendez- Lojo Donald Nguyen. Overview. Galois system is a test bed to explore opts Safe but not fast out of the box Important optimizations Select least transactional overhead Select right scheduling Select appropriate data structure

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Design and Execution of Scientific Workflows using Web Services

416 views • 33 slides

Semantics of Minimally Synchronous Parallel ML

367 views • 26 slides

Bulk Synchronous Processing (BSP) Model

Bulk Synchronous Processing (BSP) Model. Course: CSC 8350 Instructor: Dr. Sushil Prasad Presented by: Chris Moultrie. Outline. The Model Computation on BSP Model Automatic Memory Management Matrix Multiplication Computational Analysis BSP vs. PRAM BSPRAM. The Model.

489 views • 26 slides

Semantics of Minimally Synchronous Parallel ML

331 views • 26 slides

performance in cloud and mobile apps

Doh !. performance in cloud and mobile apps. http://www.flickr.com/photos/johanl/4934459020. Performance. Goal: The software uses few resources for the amount of work done. Different from reliability: The software works correctly over and over again .

365 views • 24 slides

Impossibility of Distributed Consensus with One Faulty Process

Impossibility of Distributed Consensus with One Faulty Process. Michael J. Fischer Nancy A. Lynch Michael S. Paterson. Introduction. Problem Reach agreement among remote processes Example: transaction commit problem Easy if the participating processes and network are completely reliable

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Power Cost Reduction in Distributed Data Centers

Power Cost Reduction in Distributed Data Centers. Yuan Yao University of Southern California. Joint work: Longbo Huang, Abhishek Sharma, LeanaGolubchik and Michael Neely. IBM Student Workshop for Frontiers of Cloud Computing 2011 Paper to appear on Infocom 2012.

361 views • 19 slides

From Probabilistic Argumentation to Information Algebras (and back)

From Probabilistic Argumentation to Information Algebras (and back). Rolf Haenni Computer Science Department University of California, Los Angeles. Contents :. 1. Introduction 2. Probabilistic Argumentation 3. Dempster-Shafer Theory 4. Valuation and Information Algebras 5. Conclusion.

277 views • 17 slides