Accelerated Data Processing with GPU Computation and Dask

PT26957
Summary
This class introduces tools for GPU-accelerated computation — including CuPy, RAPIDS, and Numba — and their integration with Dask for usage on large datasets and multiple GPUs.
Prerequisites
The following prerequisites are required for this course:
  • Python, basic level
  • Understanding of ML concepts and workflow, basic level
  • Dask programming, basic level
Duration
1 Day/Lecture & Lab
Audience
This class introduces tools for GPU-accelerated computation — including CuPy, RAPIDS, and Numba — and their integration with Dask for usage on large datasets and multiple GPUs.
Topics
  • Introduction
  • Partners for High-Performance Python
  • NVIDIA RAPIDS
  • RAPIDS and Dask
  • Architecture and Problem Solving

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