Table of Contents

  1. Introduction to Parallel Programming 
  2. Building Multithreaded Programs 
  3. Working with Multiprocessing and mpi4py Library
  4. Asynchronous Programming with AsyncIO
  5. Realizing Parallelism with Distributed Systems 
  6. Maximizing Performance with GPU Programming using CUDA
  7. Embracing the Parallel Computing Revolution
  8. Scaling Your Data Science Applications with Dask
  9. Exploring the Potential of AI with Parallel Computing
  10. Hands-on Applications of Parallel Computing