'Thread id' diaporamas de présentation

Concurrency

Concurrency. Alan L. Cox alc@cs.rice.edu. Some slides adapted from CMU 15.213 slides. Objectives. Be able to apply 3 techniques for achieving concurrency Process Thread Event-driven Be able to analyze the correctness of concurrent programs Thread-safety Race conditions Deadlocks

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CUDA Programming

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Lecture 3 Posix Threads

Lecture 3 Posix Threads. CSCE 713 Advanced Computer Architecture. Topics Pthreads Readings. January 17, 2012. Overview. Last Time Finish Slides from Lecture 1 NP-Completeness and the Dwarves Posix Pthreads Readings for today

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Nikolaos Drosinos and Nectarios Koziris National Technical University of Athens

Advanced Hybrid MPI/OpenMP Parallelization Paradigms for Nested Loop Algorithms onto Clusters of SMPs. Nikolaos Drosinos and Nectarios Koziris National Technical University of Athens Computing Systems Laboratory {ndros,nkoziris}@cslab.ece.ntua.gr www.cslab.ece.ntua.gr. Overview.

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Programming with Threads

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Concurrent Programming

Concurrent Programming. Outline. Topics: Shared variables Synchronizing with semaphores Suggested reading: 12.4~12.5. Approaches to Concurrency. Processes Hard to share resources: easy to avoid unintended sharing High overhead in adding/removing clients Threads

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Overview

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WIDE Client & Server

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GPU Tutorial: How To Program for GPUs

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Parallel Programming

Parallel Programming. Using OpenMP. by Tiago Sommer Damasceno. http://www.openmp.org. Introduction. This module teaches about the basic concepts of parallel programming that uses a multi-threading API called OpenMP. Requirements Knowledge in C Programming Language.

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Concurrency I: Threads April 10, 2001

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Pthread Programming

Pthread Programming. CIS450 Winter 2003 Professor Jinhua Guo. What are Pthreads?. Historically, hardware vendors have implemented their own proprietary versions of threads. Not portable.

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fork

fork. Fork is used to create a child process. Most network servers under Unix are written this way Concurrent server: parent accepts the connection, forks a child, and child handles the client While this paradigm has served well for many years, there are problems with fork:. Problem with fork.

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Threads and Thread Control

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Thread Basic

Thread Basic. Thread operations include thread creation, termination, synchronization, data management Threads in the same process share: Process address space, instructions and most data Opened files (file descriptor) Signals and signal handles Each thread has a unique: Thread ID

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6.033 Spring 2009

6.033 Spring 2009. Robert Morris Lecture 7 Threads. Remember: Send. send(p, m): while true: acquire(p.lock) if p.in - p.out < N: p.buffer[p.in mod N] ? m p.in ? p.in + 1 release(p.lock) return release(p.lock).

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ITCS 4/5010 CUDA Programming, UNC-Charlotte, B. Wilkinson, Jan 28, 2013, 3-DBlocks

Addressing 2-D grids with 3-D blocks Class Discussion Notes. ITCS 4/5010 CUDA Programming, UNC-Charlotte, B. Wilkinson, Jan 28, 2013, 3-DBlocks.ppt. General Approach. Given two-dimensional addressing, row, column Use the general 2-D to 1-D flattening equation: index = col + row * N col

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ITCS 6/8010 CUDA Programming, UNC-Charlotte, B. Wilkinson, March 5, 2011, 3-DBlocks

Addressing 2-D grids with 3-D blocks Class Discussion Notes. ITCS 6/8010 CUDA Programming, UNC-Charlotte, B. Wilkinson, March 5, 2011, 3-DBlocks.ppt. General Approach. Given two-dimensional addressing, row, column Use the general 2-D to 1-D flattening equation: index = col + row * N col

190 views • 8 slides