Fundamentals of Accelerated Computing with CUDA C/C++
October 16 @ 9:00 am - 5:00 pm
- Accelerating CPU-only applications to run their latent parallelism on GPUs
- Utilizing essential CUDA memory management techniques to optimize accelerated applications
- Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
- Leveraging command line and visual profiling to guide and check your work
Upon 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.
The workshop will use online tools, so there is no need to install any software ahead of time.
This 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.
Space is limited, register today to save a seat!