Parallel Programming and Computing Platform

What is CUDA? Enroll today! Intro to Parallel Programming An open, online course from Udacity Instructors: Dr. CUDA® is a parallel computing platform and programming model invented by NVIDIA. With millions of CUDA-enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing with CUDA. Identify hidden plaque in arteries: Heart attacks are the leading cause of death worldwide. Analyze air traffic flow: The National Airspace System manages the nationwide coordination of air traffic flow. Visualize molecules: A molecular simulation called NAMD (nanoscale molecular dynamics) gets a large performance boost with GPUs. Background GPU Computing: The Revolution You're faced with imperatives: Improve performance. Not anymore. Using high-level languages, GPU-accelerated applications run the sequential part of their workload on the CPU – which is optimized for single-threaded performance – while accelerating parallel processing on the GPU.

Main Page Course on CUDA Programming Course on CUDA Programming on NVIDIA GPUs, July 22--26, 2013 The course will be given again in Oxford in July 2014, almost certainly the week of July 21-25. We hope to confirm this and have the online registration / payment system set up by early May. This is a 5-day hands-on course for students, postdocs, academics and others who want to learn how to develop applications to run on NVIDIA GPUs using the CUDA programming environment. The course consists of approximately 3 hours of lectures and 4 hours of practicals each day. Costs for the course will be as follows: £100 for those from Oxford University and other members of the e-Infrastructure South consortium (Bristol, Southampton, STFC and UCL) £200 for those from other UK universities £500 for those from other government labs, not-for-profit organisations, and foreign universities £2000 for those from industry (this will include lunch each day) To encourage early registration, the costs will increase by 50% after July 4th. Venue

Hugin - Panorama photo stitcher OpenVIDIA - OpenVIDIA The Khronos Group Inc. Introduction to Parallel Programming With CUDA When does the course begin? This class is self paced. You can begin whenever you like and then follow your own pace. It’s a good idea to set goals for yourself to make sure you stick with the course. How long will the course be available? This class will always be available! How do I know if this course is for me? Take a look at the “Class Summary,” “What Should I Know,” and “What Will I Learn” sections above. Can I skip individual videos? Yes! How much does this cost? It’s completely free! What are the rules on collaboration? Collaboration is a great way to learn. Why are there so many questions? Udacity classes are a little different from traditional courses. What should I do while I’m watching the videos? Learn actively!

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