'Parallel program' presentation slideshows

Multi-Tasking Models and Algorithms

Multi-Tasking Models and Algorithms. General Concepts (Part I). Outline for Multi-Tasking Models. Note : Items in black are in this slide set (Part I). Preliminaries Common Decomposition Methods Characteristics of Tasks and Interactions Mapping Techniques for Load Balancing

1.1k views • 77 slides

Heterogeneous Computing (HC) & Micro-Heterogeneous Computing (MHC)

Heterogeneous Computing (HC) & Micro-Heterogeneous Computing (MHC). High Performance Computing Trends Steps in Creating a Parallel Program Factors Affecting Parallel System Performance Scalable Distributed Memory Processors: MPPs & Clusters

968 views • 68 slides

Parallel Programming

Parallel Programming. Sathish S. Vadhiyar Course Web Page: http://www.serc.iisc.ernet.in/~vss/courses/PPP2009. Motivation for Parallel Programming. Faster Execution time due to non-dependencies between regions of code Presents a level of modularity Resource constraints. Large databases.

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Computer architecture II

Computer architecture II. Introduction. Plan for today. Parallelization strategies What to partition? Embarrassingly Parallel Computations Divide-and-Conquer Pipelined Computations Application examples Parallelization steps 3 programming models Data parallel Shared memory

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Assisting technologies for program parallelization

Assisting technologies for program parallelization. Chikayama/Taura Lab. Masakazu HAYATSU hayatsu@logos.t.u-tokyo.ac.jp. Agenda. Introduction Difficulty of Program Parallelization Assistant Tools for Program Parallelization SUIF Explorer S-Check Ursa Minor Conclusion. Introduction.

593 views • 42 slides

Using Description-Based Methods for Provisioning Clusters

Using Description-Based Methods for Provisioning Clusters. Philip M. Papadopoulos San Diego Supercomputer Center University of California, San Diego. Computing Clusters. How I spent my Weekend Why should you care about about software configuration Description based configuration

621 views • 37 slides

Solving Large Sparse Linear Systems

Solving Large Sparse Linear Systems. Ruth Shaw Dept. of CS & Appl. Stats. UNB Saint John. Outline. Solving Linear Systems Iterative Methods Jacobi Method PDE Example Designing the Parallel Algorithm. Solving Linear Systems. Ax = b. Iterative Methods. Jacobi Gauss-Seidel

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Improving Parallel Performance

466 views • 37 slides

CS252 Graduate Computer Architecture Lecture 18: ILP and Dynamic Execution #3: Examples (Pentium III, Pentium 4, IBM A

CS252 Graduate Computer Architecture Lecture 18: ILP and Dynamic Execution #3: Examples (Pentium III, Pentium 4, IBM AS/400) . April 4, 2001 Prof. David A. Patterson Computer Science 252 Spring 2001. Review: Dynamic Branch Prediction. Prediction becoming important part of scalar execution

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Jeremy R. Johnson *This lecture was derived from chapters 4 and 5 in Carriero and Gelernter

Parallel Processing (CS 676) Lecture 2: Designing and Implementing Parallel Programs with Linda *. Jeremy R. Johnson *This lecture was derived from chapters 4 and 5 in Carriero and Gelernter. Introduction.

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Computer Science An Introduction and Some Advanced Concepts Too!

Computer Science An Introduction and Some Advanced Concepts Too!. Prof. Paul Sivilotti Dept. of Computer & Info. Science The Ohio State University paolo@cis.ohio-state.edu. Computers Are All Around. The 1 st Computer Scientist. Ada Byron King, Countess of Lovelace 1815-1852.

423 views • 28 slides

Message Passing

Message Passing. Introduction. Overview of Message Passing Implementing Message Passing Mailboxes Higher-Level Protocols Using Message Passing Case Studies in Message Passing. Overview of Message Passing. Message passing is one way in which processes interact with one another

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Parallel Programming with Java

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CS4961 Parallel Programming Lecture 9: Task Parallelism in OpenMP Mary Hall September 22, 2009

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A record and replay mechanism using programmable network interface cards

314 views • 18 slides

Computer Science 320

229 views • 13 slides

Many-Core Software

257 views • 13 slides

GXP in nutshell

GXP in nutshell. You can send jobs (Unix shell command line) to many machines, very fast Very small prerequisites Each node has python (ver 2.3.4 or later) You have ssh access to it without being asked to enter passphrases (e.g., use ssh-agent for ssh)

269 views • 9 slides

Early Dismissal Policy

Early Dismissal Policy Parallel Program. Early Dismissal Policy. Sacramento START has been made available to your child through the State of California Afterschool Education and Safety (ASES) program funding. As a funding requirement:

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