Course Outline


Overview of CUDA Features and Architecture

Setting up the Development Environment

Parallel Programming Fundamentals

Working with the Numba Compiler

Building a Custom CUDA Kernel


Summary and Conclusion


  • Python programming experience
  • Experience with NumPy (ndarrays, ufuncs, etc.)


  • Developers
 14 Hours

Number of participants

Price per participant

Testimonials (1)

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