Book Content
chapters • 15h4m total length
1. Introduction to GPU computing
2. Designing A GPU Computing Strategy
3. Setting up a GPU Computing Platform with NVIDIA and AMD
4. Fundamentals of GPU programming
5. Setting up your environment for GPU programming
6. Working with PyCUDA
7. Working with PyOpenCL
8. Working with Anaconda and Anaconda Accelerate
9. Containerization on GPU enabled platforms
10. Machine Learning on GPUs: Use cases
11. GPU Acceleration for Scientific Applications using Deepchem
