Webinar - Python GPU computing (Cunumeric, cuPy, JAX, Pytorch)

Опубликовано: 20 Май 2026
на канале: LAPP CNRS

How to use GPU to speed up computing with Python ? In this webinar we will study possibles senarios to guide you to the library which fit your needs. We will see basic principle of each of them, and the Gray Scott summer school will give a deeper vision of their use. We will present them by level of integration :
for high level : Nvidia CuNumeric, Intel DPNP, JAX, and PyTorch allow to keep practically the same code as the CPU version
for intermediate level : CuPy library provides access to advanced digital functionnalities, but needs specific code for the GPU
for low level : PyCUDA and Numba for GPU provide basic functionnalities on tables.
We will also present associated profiling tools.

Webinar by Alice Faure, Nabil Garroum & Jean-Marc Colley

Links mentionned in the video:
Gray Scott Shorts : / @cc-fr
CuPy comparison doc : https://docs.cupy.dev/en/stable/refer...

The "Gray Scott Thursdays" are a special series of weekly webinars preparing for the Gray Scott Summer School, covering topics such as:
⚙️ Unit testing, CPU & GPU architectures
💡 Computing precision, memory allocation
🌍 Programming with modern C++, Rust, Fortran, Python, Sycl, EVE, CUDA... and more!

Follow us to get the latest news about the #GrayScottSchool2026

На этой странице сайта вы можете посмотреть видео онлайн Webinar - Python GPU computing (Cunumeric, cuPy, JAX, Pytorch) длительностью часов минут секунд в хорошем качестве, которое загрузил пользователь LAPP CNRS 20 Май 2026, поделитесь ссылкой с друзьями и знакомыми, на youtube это видео уже посмотрели 55 раз и оно понравилось 2 зрителям. Приятного просмотра!

994