Advanced GPU Computing training

This training focusses on advanced aspects of the Julia GPU computing stack, using CUDA.jl. It covers:

• Advanced usage of CUDA.jl
  • library integrations and wrappers (CUDA driver API, CUBLAS, etc)
  • programming models (array abstractions, kernels)
  • memory management
  • task-based concurrent GPU computing
• Performance deep-dive
  • application analysis and optimization (using NSight Systems)
  • kernel analysis and optimization (using NSight Compute)