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material [2017/01/13 13:00] (current)
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 +[[start|{{::​pumps01.png|}}]]
 +====== GPU Programming Courses ======
 +
 +=====  Coursera Course on Heterogeneous Parallel Programming =====
 +
 +Most of PUMPS 2015 students have been able to attend:
 +
 +  * https://​class.coursera.org/​hetero-004
 +
 +Prof. Wen-mei W. Hwu, at the Coursera Course on [[https://​class.coursera.org/​hetero-004|Heterogeneous Parallel Programming]],​ teaches the use of CUDA/​OpenCL,​ OpenACC, and MPI for programming heterogeneous parallel computing systems. It is application oriented and only introduces necessary technological knowledge to solidify understanding.
 +
 +   * Quizzes and Machine Problems can be found at http://​webgpu.com/​
 +
 +
 +
 +===== Udacity Course on Parallel Programming ======
 +
 +   * https://​www.udacity.com/​course/​cs344
 +
 +The Udacity course on [[https://​www.udacity.com/​course/​cs344|“Introduction to Parallel Programming,​”]] led by David Luebke, who helped found NVIDIA Research seven years ago, and John Owens, associate professor of electrical and computer engineering at UC Davis. This brand-new online class consists of seven units (lectures/​homework/​quizzes) which you can take at your own pace. You will learn to use the CUDA programming model, take part in hands-on exercises and test your knowledge with quizzes - all delivered online via cloud-based GPUs. 
 +
 +
 +===== CUDA Resources =====
 +
 +  * List of CUDA–enabled GPUs: www.nvidia.com/​object/​cuda_gpus.html
 +  * CUDA Developer guides and docs: https://​developer.nvidia.com/​category/​zone/​cuda-zone
 +  * Learn more about CUDA on CUDA Zone: www.nvidia.com/​cuda
 +  * CUDA books: http://​www.nvidia.com/​object/​cuda_books.html
 +  * Third Pillar of Science: www.nvidia.com/​object/​race-for-better-science.html
 +  * Network with other developers: www.gpucomputing.net
 +  * Stayed tuned to GPGPU news and events: www.gpgpu.org
 +  * Download Parallel Nsight: www.nvidia.com/​object/​parallel-nsight.html
  
 
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