🚀 GPU Training Course v0.1.0 – Initial Release

This is the very first release of the GPU Training Course. It provides a hands-on pipeline for getting up and running on GPU‐accelerated Python, as well as practical examples and workflows.

📚 Course Modules

• Theory
  Fundamentals of GPU architectures and memory models.
• Spack
  Reproducible environment setup using Spack package manager.
• Slurm
  Batch‐submission examples and helper scripts for HPC clusters.
• Conway’s Game of Life
  Jupyter notebook implementations in NumPy, a naïve CUDA version, and CuPy, with performance comparisons across hardware.
• Profiling
  Demonstrations of NVIDIA Nsight and timing tools for GPU kernels.
• Temperature Diffusion
  Simulation of a 2D heat equation on GPU.