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Course Outline
Introduction
Overview of CUDA Features and Architecture
Setting up the Development Environment
Parallel Programming Fundamentals
Working with the Numba Compiler
Building a Custom CUDA Kernel
Troubleshooting
Summary and Conclusion
Requirements
- Python programming experience
- Experience with NumPy (ndarrays, ufuncs, etc.)
Audience
- Developers
14 Hours
Testimonials (1)
Very interactive with various examples, with a good progression in complexity between the start and the end of the training.