PPT-The Effects of Parallel Programming on Gaming

Anthony Waterman Topics to Discuss Are online games c onceptually p arallel What portions of a game benefit from parallelization Graphics Processing Units GPUs GeneralPurpose C omputing . 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 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. Biagio Cosenza, Ph.D.. DPS Group, . Institut. . für. . Informatik. Universit. ä. t. Innsbruck, Austria. Outline. Complexity in HPC. Parallel hardware. Optimizations. Programming . models. Harnessing compexity. 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. 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:. Parallel Programming in Haskell David Walker Optional Reading: “Beautiful Concurrency”, “The Transactional Memory / Garbage Collection Analogy” “ A Tutorial on Parallel and Concurrent Programming in 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.