'Mpi wait' diaporamas de présentation

S3D: Performance Impact of Hybrid XT3/XT4

S3D: Performance Impact of Hybrid XT3/XT4. Sameer Shende tau-team@cs.uoregon.edu. Acknowledgements. Alan Morris [UO] Kevin Huck [UO] Allen D. Malony [UO] Kenneth Roche [ORNL] Bronis R. de Supinski [LLNL] John Mellor-Crummey [Rice] Nick Wright [SDSC] Jeff Larkin [Cray, Inc.]

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PERI Tiger Teams FY07 Report

PERI Tiger Teams FY07 Report. Performance Engineering Research Institute October 30, 2007 Contact: Bronis R. de Supinski bronis@llnl.gov. Tiger Team Process and Milestones. Process from Section 4.3 of Proposal: Select one or two applications per year

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Message Passing Interface (MPI) 2

Amit Majumdar Scientific Computing Applications Group San Diego Supercomputer Center Tim Kaiser (now at Colorado School of Mines). Message Passing Interface (MPI) 2. MPI 2 Lecture Overview. Review 6 Basic MPI Calls Data Types Wildcards Using Status Probing Asynchronous Communication.

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Message Passing Interface (MPI) 2

Amit Majumdar Scientific Computing Applications Group San Diego Supercomputer Center Tim Kaiser (now at Colorado School of Mines). Message Passing Interface (MPI) 2. MPI 2 Lecture Overview. Review 6 Basic MPI Calls Data Types Wildcards Using Status Probing Asynchronous Communication.

392 views • 37 slides

S3D: Comparing Performance of XT3+XT4 with XT4

S3D: Comparing Performance of XT3+XT4 with XT4. Sameer Shende tau-team@cs.uoregon.edu. Acknowledgements. Alan Morris [UO] Kevin Huck [UO] Allen D. Malony [UO] Kenneth Roche [ORNL] Bronis R. de Supinski [LLNL] John Mellor-Crummey [Rice] Nick Wright [SDSC] Jeff Larkin [Cray, Inc.]

364 views • 36 slides

Message-Passing Computing Collective patterns and MPI routines 2 - Synchronizing Computations

Message-Passing Computing Collective patterns and MPI routines 2 - Synchronizing Computations Barriers implementations Safety and deadlock Safe MPI routines. 6a. 1. ITCS 4/5145 Parallel computing, UNC-Charlotte, B. Wilkinson Jan 4, 2014 slides6d.ppt. Recap on synchronization.

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ITCS 4/5145 Parallel Computing, UNC-Charlotte, B. Wilkinson, 2010. July 4, 2010.

Message-Passing Computing More MPI routines: Collective routines Synchronous routines Non-blocking routines. ITCS 4/5145 Parallel Computing, UNC-Charlotte, B. Wilkinson, 2010. July 4, 2010. Collective message-passing routines.

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Non-Blocking Communications

Non-Blocking Communications. Example. #include <mpi.h> #include <stdio.h> int main(int argc, char **argv) { int my_rank, ncpus; int left_neighbor, right_neighbor; int data_received=-1; int tag = 101; MPI_Status stat Send, statRecv ; MPI_Request reqSend, reqRecv;

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CS 684

CS 684. Message Passing. Based on multi-processor Set of independent processors Connected via some communication net All communication between processes is done via a message sent from one to the other. MPI. Message Passing Interface Computation is made of: One or more processes

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An Introduction to Parallel Programming with MPI

An Introduction to Parallel Programming with MPI. February 17, 19, 24, 26 2004 David Adams http://research.cs.vt.edu/lasca/schedule. Creating Accounts. https://admin.cs.vt.edu/cslab/index.pl. Outline. Disclaimers Overview of basic parallel programming on a cluster with the goals of MPI

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Parallel Processing (CS 667) Lecture 9: Advanced Point to Point Communication

Parallel Processing (CS 667) Lecture 9: Advanced Point to Point Communication. Jeremy R. Johnson *Parts of this lecture was derived from chapters 13 in Pacheco. Introduction. Objective: To further examine message passing communication patterns. Topics Implementing Allgather Ring

403 views • 25 slides

An Introduction to Parallel Programming with MPI

An Introduction to Parallel Programming with MPI. March 22, 24, 29, 31 2005 David Adams daadams3@vt.edu http://research.cs.vt.edu/lasca/schedule. Outline. Disclaimers Overview of basic parallel programming on a cluster with the goals of MPI Batch system interaction Startup procedures

387 views • 25 slides

343 views • 25 slides

Parallel Programming & Cluster Computing Distributed Multiprocessing

Parallel Programming & Cluster Computing Distributed Multiprocessing. David Joiner, Kean University Tom Murphy, Contra Costa College Henry Neeman, University of Oklahoma Charlie Peck, Earlham College Kay Wanous, Earlham College

338 views • 24 slides

Parallel Processing (CS 730) Lecture 9: Advanced Point to Point Communication

Parallel Processing (CS 730) Lecture 9: Advanced Point to Point Communication. Jeremy R. Johnson *Parts of this lecture was derived from chapters 13 in Pacheco. Introduction. Objective: To further examine message passing communication patterns. Topics Implementing Allgather Ring

348 views • 23 slides

S3D on Intrepid

S3D on Intrepid. Weak scaling experiments performed on 1,4,8,64,512,1728,4096,6400,8000 and 12000 cores 30000 core experiment pending All Experiments performed in VN mode TAU Profile data collected for time only Instrumentation overhead <5% to ~20%

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The Problem Rigorous descriptions for widely used APIs essential

Introduction. Motivating Example. http://www.cs.utah.edu/formal_verification/mpitla/. Framework Architecture. Verification Framework. Specification. Acknowledgments. References. Example: (Synchronizing) Collective Communication

59 views • 1 slides