PPT-Programming Parallel Hardware using

Author : jane-oiler | Published Date : 2016-04-11

MPJ Express Aamir Shafi ashafimitedu Contributors 2 Aamir Shafi Jawad Manzoor Kamran Hamid Mohsan Jameel Rizwan Hanif Amjad Aziz Bryan Carpenter Mark Baker

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Programming Parallel Hardware using: Transcript

MPJ Express Aamir Shafi ashafimitedu Contributors 2 Aamir Shafi Jawad Manzoor Kamran Hamid Mohsan Jameel Rizwan Hanif Amjad Aziz Bryan Carpenter Mark Baker Guillermo . Parallel programming 5 - 2 arallel Version 1. Our first parallel version simply splits the outer loop: id := process_fork (p); for (i=id; in ; i=i+p) { y [i] = 0; for (j=0; jn . Sarita V. Adve. University of Illinois. sadve@illinois.edu. Sequential CS 101. Java. Parallel CS 101. Java. Threads. Parallel CS 101. Java. Threads. Data races. Parallel CS 101. Java. Threads. Data races. Pro .Net Programming in C#, Adam Freeman. Parallel C# . Task Parallel Library (TPL). TPL tasks vs. Threads. Benefits & Pitfalls of Parallel Programming. Overhead. Coordinating fata. Scaling Applications. Time for Hardware Upgrade. Uzi Vishkin. . . The pompous version. After 40 years of “wandering in the desert”, general-purpose parallelism is very close to capturing the “promised land” of mainstream computing. Anthony Waterman. Topics to Discuss. Are online games . c. onceptually. . p. arallel?. What portions of a game benefit from parallelization?. Graphics Processing Units (GPUs) . General-Purpose . C. omputing . Going Beyond Serial MATLAB Applications. MATLAB . Desktop (Client). Worker. Worker. Worker. Worker. Worker. Worker. Programming Parallel Applications (CPU). Built-in support. with t. oolboxes. Ease of Use. 6/16/2010. Parallel Programming Abstractions. 1. Tasks . vs. Threads. Similar but not the same.. 6/16/2010. Parallel Programming Abstractions. 2. h/w processors. Operating System. T. hreads. Task Scheduler. 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. 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. 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. The Tyranny of. the Storage Hierarchy. Henry Neeman, University of Oklahoma. Charlie Peck, Earlham College. Tuesday October 11 2011. Parallel Programming: . Storage . Hierarchy. OK Supercomputing Symposium, Tue Oct 11 2011. 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:. 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. 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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