Fundamentals of Accelerated Computing with CUDA C/C++ Workshop
Overview
Instructor(s): Jian Tao
Time: Friday, November 9, 2018 11:30AM-2:00PM CT
Location: SCC 102.B
Prerequisite(s): Experience with C or C++
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:
- 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, 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 quickly.
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Course Materials
Agenda
This course focuses, among others, on the following topics:
- Accelerating Applications with CUDA C/C++
- Managing Accelerated Application Memory with CUDA C/C++ Unified Memory and nvprof
This will be an instructor-led training using the NVIDIA Deep Learning Institute Online Training Program.