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SUMMARY:Fundamentals of Accelerated Computing with CUDA C/C++
DESCRIPTION:The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by: \n\nAccelerating CPU-only applications to run their latent parallelism on GPUs\nUtilizing essential CUDA memory management techniques to optimize accelerated applications\nExposing accelerated application potential for concurrency and exploiting it with CUDA streams\nLeveraging command line and visual profiling to guide and check your work\n\nUpon completion of this workshop\, you’ll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast. This workshop is presented by Kristopher Keipert of NVIDIA. \nThe workshop will use online tools\, so there is no need to install any software ahead of time. \nThis event is brought to you by the Michigan Institute for Computational Discovery and Engineering\, and Consulting for Statistics\, Computing & Analytics Research at the University of Michigan in partnership with NVIDIA. \nSpace is limited\, register today to save a seat!
URL:https://micde.umich.edu/event/fundamentals-of-accelerated-computing-with-cuda-c-c/
LOCATION:Zoom Event
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20200923T140000
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SUMMARY:Using GPUs with Python
DESCRIPTION:Python is the Lingua Franca of Data today and is being increasingly used in scientific computations. This workshop introduces Python GPU tools for porting and writing code that runs on GPUs. The primary tools\, Numba and CuPy\, are presented with examples. This workshop is presented by Kristopher Keipert of NVIDIA. \nThis event is open to students\, faculty\, and staff within the University of Michigan community. A Jupyter notebook is used along with a set of lecture slides. The workshop will use online tools\, so there is no need to install any software ahead of time. \nThis event is brought to you by the Michigan Institute for Computational Discovery and Engineering\, and Consulting for Statistics\, Computing & Analytics Research at the University of Michigan in partnership with NVIDIA. \nRegistration for this event has closed.
URL:https://micde.umich.edu/event/using-gpus-with-python-workshop-by-nvidia/
LOCATION:Zoom Event
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