Part 3: GPU Computing: CuPy and PyTorch Tensors
Chapter 14: Accelerating Python Beyond GPU
Intermediate~120 min
Learning Objectives
- JIT-compile numerical Python with Numba for CPU-bound inner loops
- Use JAX for functional-style numerical computing with XLA compilation
- Implement multiprocessing and concurrent.futures for CPU-parallel workloads
- Interface Python with C/C++ libraries via ctypes, cffi, and pybind11
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