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
 

Number of participants


Starts

Ends


Dates are subject to availability and take place between 9:30 am and 4:30 pm.
Open Training Courses require 5+ participants.

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