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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)

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