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

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