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.

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

OpenVIDIA - OpenVIDIA 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!