'Parallelization' diaporamas de présentation

Distributed Cluster Computing Platforms

Distributed Cluster Computing Platforms. Outline. What is the purpose of Data Intensive Super Computing? MapReduce Pregel Dryad Spark/Shark Distributed Graph Computing. Why DISC. DISC stands for Data Intensive Super Computing A lot of applications.

1.61k views • 142 slides

The SGI Pro64 Compiler Infrastructure

The SGI Pro64 Compiler Infrastructure. - A Tutorial. Guang R. Gao (U of Delaware) J. Dehnert (SGI) J. N. Amaral (U of Alberta) R. Towle (SGI). Acknowledgement. The SGI Compiler Development Teams The MIPSpro/Pro64 Development Team University of Delaware CAPSL Compiler Team

1.23k views • 111 slides

Scalable and transparent parallelization of multiplayer games

Scalable and transparent parallelization of multiplayer games. Bogdan Simion MASc thesis Department of Electrical and Computer Engineering. Multiplayer games. Captivating, highly popular Dynamic artifacts. Multiplayer games. - More than 100k concurrent players. - Long playing times:.

1.04k views • 72 slides

Pointer Analysis

Pointer Analysis. Pointer Analysis. Outline: What is pointer analysis Intraprocedural pointer analysis Interprocedural pointer analysis Andersen and Steensgaard New Directions. Pointer and Alias Analysis. Aliases : two expressions that denote the same memory location.

913 views • 65 slides

The Parallel Revolution Has Started: Are You Part of the Solution or Part of the Problem?

The Parallel Revolution Has Started: Are You Part of the Solution or Part of the Problem?. Krste Asanovic, Ras Bodik, Eric Brewer, Jim Demmel, Tony Keaveny, Kurt Keutzer, John Kubiatowicz, Nelson Morgan, Dave Patterson , Koushik Sen, David Wessel, and Kathy Yelick UC Berkeley Par Lab

742 views • 61 slides

Google MapReduce

Google MapReduce. A Distributed Computing Solution. Outlines. Introduction MapReduce Model Implementation Refinements Q&A. Outlines. Introduction MapReduce Model Implementation Refinements Q&A. Introduction. MapReduce is designed to process large amount of distributed raw data.

579 views • 42 slides

Introduction to Quantum Espresso

Introduction to Quantum Espresso. ESPRESSO. ESPRESSO stands for opEn Source Package for Research in Electronic Structure, Simulation and Optimization

1.89k views • 41 slides

An Object-Oriented Software Framework for Building Parallel Navier-Stokes Solvers

An Object-Oriented Software Framework for Building Parallel Navier-Stokes Solvers. Xing Cai Hans Petter Langtangen Otto Munthe University of Oslo. Outline of the Talk. Mathematical model for N-S equations Different numerical methods An O-O framework in Diffpack Parallelization

440 views • 32 slides

Parallel Solution of Navier Stokes Equations

Parallel Solution of Navier Stokes Equations. Xing Cai Dept. of Informatics University of Oslo. Outline of the Talk. Two parallelization strategies based on domain decomposition at the linear algebra level Parallelization of Navier-Stokes Numerical experiments. Diffpack.

501 views • 31 slides

Presentation of the Wave Equation Migration tool

Presentation of the Wave Equation Migration tool. 75th SEG Annual Meeting, Houston, TX. November 6 - 11, 2005. Long term R&D effort. 2D Paraxial propagator (Collino, 1989) Constrained least squares migration (Ehinger and Lailly, 1991; Duquet et al., 1994)

352 views • 25 slides

Numerical Simulation of 3D Fully Nonlinear Waters Waves on Parallel Computers

Numerical Simulation of 3D Fully Nonlinear Waters Waves on Parallel Computers. Xing Cai University of Oslo. Outline of the Talk. Mathematical model Numerical scheme (sequential) Parallelization strategy (domain decomposition) Object-oriented implementation Numerical experiment.

339 views • 24 slides

Adaptive grid refinement

Adaptive grid refinement. Adaptivity in Diffpack. Error estimator Adaptive refinement A hierarchy of unstructured grids Solution method: Multigrid , often optimal complexity As an add-on Diffpack library. Parallel Computing in Diffpack. Two parallelization approaches.

360 views • 23 slides

Sprint: Speculative Prefetching of Remote Data

Sprint: Speculative Prefetching of Remote Data. Arun Raman Princeton University. Greta Yorsh ARM, UK. Martin Vechev IBM Research&ETH Zurich. Eran Yahav Technion , Israel. Acknowledgments: Nick Mitchell and Mark Wegman IBM Research. IBM Yellow Pages Application. Local

337 views • 19 slides

Introduction to Google MapReduce

Introduction to Google MapReduce. WING Group Meeting 13 Oct 2006 Hendra Setiawan. What is MapReduce?. A programming model (& its associated implementation) For processing large data set Exploits large set of commodity computers Executes process in distributed manner

386 views • 17 slides

174 views • 17 slides

TRUE CRYPT

TRUE CRYPT. Objective of TrueCrypt. Establishing and maintaining an on-the-fly-encrypted volume (data storage device ). On-the-fly encryption means that data is automatically encrypted right before it is saved and decrypted right after it is loaded, without any user intervention.

392 views • 16 slides

251 views • 14 slides

Parallelization of an Electromagnetic Analysis Tool

Parallelization of an Electromagnetic Analysis Tool. Chris Card / Black River Systems Company Milissa Benincasa / Black River Systems Company Alan George / Black River Systems Company. Project Overview.

44 views • 4 slides