'Message passing' diaporamas de présentation

Parallel Programming Using the Global Arrays Toolkit

Parallel Programming Using the Global Arrays Toolkit. Bruce Palmer , Jeff Daily, Abhinav Vishnu, Sriram Krishnamoorthy, Daniel Chavarria Pacific Northwest National Laboratory. Global Arrays. Developed over 20 years

1.57k views • 135 slides

Unix Clusters

Guntis Barzdins Girts Folkmanis Leo Truksans. Unix Clusters. M?jas darbs #3. 1. Uzdevums (max 8 punkti) A. Uz UNIX b?zes izveidot MPI paral?lo programmu kompil?cijas un izpildes vidi (skat?t lekcijas slaidus; MacOS X gad?jum? ?emiet v?r?, ka MPI ir da??ji ieb?v?ts).

1.21k views • 110 slides

High-Performance Grid Computing and Research Networking

High-Performance Grid Computing and Research Networking. Message Passing with MPI. Presented by Khalid Saleem Instructor: S. Masoud Sadjadi http://www.cs.fiu.edu/~sadjadi/Teaching/ sadjadi At cs Dot fiu Dot edu. Acknowledgements.

799 views • 72 slides

High-Performance Grid Computing and Research Networking

High-Performance Grid Computing and Research Networking. Message Passing with MPI. Presented by Khalid Saleem Instructor: S. Masoud Sadjadi http://www.cs.fiu.edu/~sadjadi/Teaching/ sadjadi At cs Dot fiu Dot edu. Acknowledgements.

829 views • 72 slides

Ace104 Lecture 8

Ace104 Lecture 8. Tightly Coupled Components MPI (Message Passing Interface). Motivation. To this point we have focused on highly granular, loosely coupled components via web services (ie using SOAP/XML/http) Some components need to couple more tightly Rate and volume of data exchange, e.g.

788 views • 71 slides

Scalable Distributed Memory Machines: Massively Parallel Processors (MPPs) & Clusters

Scalable Distributed Memory Machines: Massively Parallel Processors (MPPs) & Clusters. Goal: Parallel machines that can be scaled to hundreds or thousands of processors. Scalable Parallel Systems Design Choices: Custom-designed or commodity nodes? Network scalability.

757 views • 52 slides

CS 258 Parallel Computer Architecture Lecture 1 Introduction to Parallel Architecture

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Lecture 3: Kernel for OSs

Lecture 3: Kernel for OSs. 2 nd semester 1439 - 2018. By: Elham Sunbu. OUTLINE:. What is Kernel ? Kernel Design Modules Tasks of Kernel Pros & Cons of Monolithic Kernel Operating System Services Message Passing Distributed Shared Memory (DSM). What is Kernel?.

852 views • 39 slides

Module 16: Distributed System Structures

Module 16: Distributed System Structures. Chapter 16: Distributed System Structures. Motivation Types of Network-Based Operating Systems Network Structure Network Topology Communication Structure Communication Protocols Robustness Design Issues An Example: Networking.

606 views • 36 slides

Conformal Computing Program July 26, 2007

Conformal Computing Program July 26, 2007. NDSU Center for Nanoscale Science & Engineering. Center for Bits and Atoms MIT Media Lab. CNSE CC Team. (not pictured: Ahana Gosh and Jordan Dahl). Wallpaper Computing Display. Extensible Medium Integrated Computation and Display

470 views • 35 slides

Erlang

Erlang. Erricsson and Ellemtel Computer Science Laboratories http://www.erlang.org Heather Conboy and Shangzhu Wang University of Massachusetts Amherst. What is Erlang for ?. For programming concurrent , real-time , and distributed fault-tolerant systems. Erlang Highlights.

632 views • 35 slides

Messages, Instances, and Initialization (Methods)

426 views • 31 slides

Advanced Computer Architecture CSE 8383

Advanced Computer Architecture CSE 8383. April 4, 2006 Session 21. Contents. Message Passing Systems (Chapters 5 & 7) Communication Patterns Client/Server Systems Clusters. Message Passing Mechanisms. Message Format Message ? arbitrary number of fixed length packets

520 views • 26 slides

367 views • 26 slides

Parallel Computing

Parallel Computing. Guoliang Chen E-mail : glchen@ustc.edu.cn. Parallel Computing. Parallel Architectures Parallel Algorithms Parallel Programming. Abstract.

490 views • 22 slides

Optimizing a Parallel Video Encoder with Message Passing and a Shared Memory Architecture

Optimizing a Parallel Video Encoder with Message Passing and a Shared Memory Architecture. GU Junli SUN Yihe. Outline. Introduction & Related work Parallel encoder implementation Test results and Analysis Conclusions. Introduction & Related work #1. Parallel processing Real time

328 views • 20 slides

Convergence Study of Message Passing In Arbitrary Continuous Bayesian Networks SPIE 08 @ Orlando

Convergence Study of Message Passing In Arbitrary Continuous Bayesian Networks SPIE 08 @ Orlando. Wei Sun and KC Chang George Mason University wsun@gmu.edu kchang@gmu.edu March 2008. Outline. Bayesian Network & Probabilistic Inference Message Passing Algorithm Review

278 views • 17 slides

Globus Grid Tutorial Part 2: Running Programs Across Multiple Resources

Globus Grid Tutorial Part 2: Running Programs Across Multiple Resources. Goals of this Tutorial. Learn how to couple resources at multiple sites and use them for a single application Required by very large applications Also by applications that need a heterogeneous mix of resources

270 views • 16 slides

BP in Practice

Inference. Probabilistic Graphical Models. Message Passing. BP in Practice. Misconception Revisited. A. D. B. C. Nonconvergent BP Run. synchronous. Different Variants of BP. Synchronous BP: all messages are updated in parallel. x 100. 6. # messages converged. ? 11. ? 11.

198 views • 12 slides

Process Synchronization

Process Synchronization. Cooperating Processes. Process Cooperation Purposes Information sharing (Share files) Computation speedup (create subtasks to run simultaneously) Modularity (system function divide into separate processes or threads)

311 views • 8 slides