PPT-OpenCL Introduction Open standard for parallel programming across

heterogenous devices Devices can consist of CPUs GPUs embedded processors etc uses all the processing resources available Includes a language based on C99 for writing kernels and API used to define and control the devices. 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 James Perry. EPCC . The University of Edinburgh. OpenCL Programming. Introducing OpenCL. Important concepts. Work groups and work items. Programming with OpenCL. Initialising OpenCL and finding devices. Paradigms Activity at Data Intensive Workshop. . Shantenu Jha represented by . Geoffrey Fox. gcf@indiana.edu. . . http://www.infomall.org. . http://www.futuregrid.org. . . http://salsahpc.indiana.edu. 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 . 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. Instructor Notes. Lecture discusses parallel implementation of a simple embarrassingly parallel nbody algorithm. We aim to provide some correspondence between the architectural techniques discussed in the optimization lectures and a real scientific computation algorithm. 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:. K. ainz. Overview. About myself. Motivation. GPU hardware and system architecture. GPU programming languages. GPU programming paradigms. Pitfalls and best practice. Reduction and tiling examples. State-of-the-art . with . MPI. Based on . the . tutorial from the Argonne . National . Laboratory. https://www.mcs.anl.gov/~. raffenet/permalinks/argonne19_mpi.php. . CS 475. By Dr. Ziad A. Al-Sharif. Outline. Part . 1. 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.