'Domain decomposition' diaporamas de présentation

Parallelism

Parallelism. Why need Parallelism?. Faster, of course Finish the work earlier Same work in less time Do more work More work in the same time. How to Parallelize an Application?. Break down the computational part into small pieces Assign the small jobs to the parallel running processes

875 views • 67 slides

CS 684

CS 684. Designing Parallel Algorithms. Designing a parallel algorithm is not easy. There is no recipe or magical ingredient Except creativity We can benefit from a methodical approach. Framework for algorithm design

823 views • 64 slides

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification. Matrix Computations: Iterative Methods (II) Chung-Kuan Cheng. Outline. Introduction Direct Methods Iterative Methods Formulations Projection Methods Krylov Space Methods Preconditioned Iterations Multigrid Methods

723 views • 60 slides

Simulation of the Operation of the ITER Coils using a Domain Decomposition Method

Simulation of the Operation of the ITER Coils using a Domain Decomposition Method. D. Bessette , L. Bottura, A. Devred , J. Persichetti , F. Gauthier CHATS-AS XI CERN, October 12 th -14 th 2011. Outline. A domain decomposition ? Practical implementation

710 views • 56 slides

Hardware/Software Performance Tradeoffs (plus Msg Passing Finish)

Hardware/Software Performance Tradeoffs (plus Msg Passing Finish). CS 258, Spring 99 David E. Culler Computer Science Division U.C. Berkeley. SAS Recap. Partitioning = Decomposition + Assignment Orchestration = coordination and communication SPMD, Static Assignment Implicit communication

733 views • 52 slides

Limits of Beam-Beam Interactions

Limits of Beam-Beam Interactions. Ji Qiang Lawrence Berkeley National Laboratory. Joint EIC2006 & Hot QCD Workshop, BNL, July 17 - 22. Outline. Introduction Experimental observations Physical mechanisms Computational models Validation of computer codes

584 views • 47 slides

Direct Simulation Monte Carlo: A Particle Method for Nonequilibrium Gas Flows

Direct Simulation Monte Carlo: A Particle Method for Nonequilibrium Gas Flows. Iain D. Boyd Department of Aerospace Engineering University of Michigan Ann Arbor, MI 48109 Support Provided By: MSI, AFOSR, DARPA, NASA. Physical characteristics of nonequilibrium gas flow.

1.4k views • 41 slides

Advanced discretization methods in computational mechanics & Adaptive Modeling and Simulation

643 views • 40 slides

Parallel Programming with Java

Parallel Programming with Java. Aamir Shafi National University of Sciences and Technology (NUST) http://hpc.seecs.edu.pk/~aamir http://mpj-express.org. Two Important Concepts. Two fundamental concepts of parallel programming are: Domain decomposition Functional decomposition.

568 views • 37 slides

A GENERAL EFFECTIVE PROCEDURE FOR COMBINING COLLOCATION AND DOMAIN DECOMPOSITION METHODS

A GENERAL EFFECTIVE PROCEDURE FOR COMBINING COLLOCATION AND DOMAIN DECOMPOSITION METHODS. Ismael Herrera* and Robert Yates** *UNAM and **Multisistemas de Computo MEXICO. THE PROBLEM . Combining collocation and DDM presents difficulties that must be overcome.

568 views • 36 slides

Gyrokinetic particle-in-cell simulations of plasma microturbulence on advanced computing platforms

Gyrokinetic particle-in-cell simulations of plasma microturbulence on advanced computing platforms. Stephane Ethier Princeton Plasma Physics Laboratory SCIDAC 2005 Conference San Francisco, CA.

366 views • 36 slides

Early-Riser TA Matt Johnson inst.eecs.berkeley/~cs61c-tm

501 views • 26 slides

Domain Decomposition in High-Level Parallelizaton of PDE codes

Domain Decomposition in High-Level Parallelizaton of PDE codes. Xing Cai University of Oslo. Outline of the Talk. Introduction and motivation A simulator parallel model A generic programming framework Applications. The Question. Starting point: sequential PDE simulators.

455 views • 26 slides

Designing and Evaluating Parallel Programs

Designing and Evaluating Parallel Programs. Anda Iamnitchi Federated Distributed Systems Fall 2006 Textbook (on line): Designing and Building Parallel Programs by Ian Foster (http://www-unix.mcs.anl.gov/dbpp/). Parallel Machines. Flynn's Taxonomy.

458 views • 25 slides

Parallel Jacobi Algorithm

Parallel Jacobi Algorithm. Steven Dong Applied Mathematics. Overview. Parallel Jacobi Algorithm Different data distribution schemes Row-wise distribution Column-wise distribution Cyclic shifting Global reduction Domain decomposition for solving Laplacian equations

771 views • 22 slides

Emerging Technologies for FETCH2

Emerging Technologies for FETCH2. Jeff Gomes Applied Modelling and Computation Group (AMCG). Severe Accident Subproject Meeting 14/11/2011. Outline. Multi-Physics Software Suite; Next-Generation Multiphase Flow Dynamic core (synergy between projects within AMCG);

359 views • 22 slides

COCOA

COCOA. MAY 31, 2001 ???, ???. Contents. Background COCOA Overview System Architecture Key Technologies Application Area Evaluation Conclusion References. Background. A Thesis in Aerospace engineering, Pennsylvania State Univ. by Anirudh Modi, 1999

372 views • 19 slides

Improved Scalability of the Finite-Volume Dynamical Core

Improved Scalability of the Finite-Volume Dynamical Core. The Cubed-Sphere and 2-dimensional (XY) domain decomposition. William M. Putman Special thanks to Shian-Jiann Lin (GFDL) V. Balaji (GFDL) Tom Clune (SIVO NASA/GSFC). NASA/GSFC Software Integration and Visualization Office.

276 views • 17 slides

I/O Optimization for ENZO Cosmology Simulation

I/O Optimization for ENZO Cosmology Simulation. Using MPI-IO. Jianwei Li 12/06/2001. Outline Today. Introduction to ENZO Cosmology Simulation I/O Analysis for ENZO Cosmology Simulation Introduction to MPI-IO MPI-IO Approaches for ENZO Conclusion and Future Work.

359 views • 15 slides

Ocean Modelling and High Performance Computing

Ocean Modelling and High Performance Computing. Andrew Coward. Cluster Computing Summer School 2009. Ocean Modelling and High Performance Computing. Introduction and rationale Historical perspective The NEMO model Example results. Introduction and rationale.

234 views • 12 slides