Difference between revisions of "Training:SummerSchool2018:Programme:CUDA1"
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Revision as of 17:43, 18 June 2018
Programming GPUs with CUDA Description: This is an introductory course covering programming and computing on GPUs - graphics processing units - which are an increasingly common presence in massively parallel computing architectures. The basics of GPU programming will be covered, and students will work through a number of hands on examples. The structuring of data and computations that makes full use of the GPU will be discussed in detail. The course covers some new features available on GPUs installed on Graham and Cedar. Students should be able to leave the course with the knowledge necessary to begin developing their own GPU applications.
Instructors: Pawel Pomorski, SHARCNET, University of Waterloo, Sergey Mashchenko, SHARCNET, McMaster University.
Prerequisites: C/C++ scientific programming, experience editing and compiling code in a Linux environment. Some experience with CUDA and/or OpenMP a plus.
Course materials: Slides for Day 1: http://ppomorsk.sharcnet.ca/CUDA1.pdf. Slides for Day 2: http://wwww.sharcnet.ca/~syam/CUDA2.pdf.
