PPT-Introduction to parallel programming
Author : faustina-dinatale | Published Date : 2018-11-30
modelS CS 5802 Monica Borra Overview Types of parallel programming models Shared memory Model OpenMP POSIX Threads Cilk Cilk Plus Cilk Plus Plus Thread Building
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Introduction to parallel programming: Transcript
modelS CS 5802 Monica Borra Overview Types of parallel programming models Shared memory Model OpenMP POSIX Threads Cilk Cilk Plus Cilk Plus Plus Thread Building Blocks Types of Parallel Programming Models. Async. . and . Await. ”. Joe Hummel, PhD. joe@joehummel.net. Technical Staff: . Pluralsight. Adjunct Professor: UIC, LUC. http://www.joehummel.net/downloads.html. Motivation. Execution model. Parallel programming with Tasks. Dr Susan Cartwright. Dept of Physics and Astronomy. University of Sheffield. Parallel Universes. Are you unique?. Could there be another “you” differing only in what you had for breakfast this morning?. David Dayan, Moshe Goldstein, . Elad. . Bussani. Levy, Moshe . Naaman. , . Mor. Nagar, . Ditsa. . Soudry. , Raphael B. . Yehezkael. EuroPython. 2016. 1. agenda. Motivation. Objectives. EFL Programming Model. Morten Kromberg, . CXO. Futures and Isolates. Goal. : . Allow. the APL . user. to explicitly express parallelism in a . natural. way. In the interpreter, . f. utures and isolates enable . coarse-grained. The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand We will Study …. Concurrency . Parallelism. Distributed computing. Evaluation. Assignments 40%, . Minor-1 15%, . Minor-2 15%, . Major 30%. Plagiarism is unacceptable. Offenders will be . penalized by a failing. Fall 2015. Lars Ailo Bongo (larsab@cs.uit.no). Course topics. Parallel programming. The parallelization process. Optimization of parallel programs. Performance analysis. Data-intensive computing. Parallel programs.
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