GPU programming using Python – A practical intro webinar

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In this webinar, we focus on GPU-accelerated computing with Python, one of the most popular programming languages for science, engineering, data analytics, and deep learning applications. Starting from familiar Python libraries such as Numpy and Pandas, we will guide you step-by-step into the world of GPU programming.

Discover how to harness the power of GPU accelerators using libraries such as CuPy, cuDF, PyCUDA, Jax, and Numba, with a focus on their unique features and capabilities for high-performance computing.

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  1. EuroCC Sweden
  2. hpc
  3. supercomputer
  4. supercomputing
  5. EuroHPC JU
  6. EuroCC
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