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Last Updated: October 3, 2026
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Code and Slides: github.com/cuda-mode/lectures/tree/main/lecture_017. Zhiyi Hu, Siyuan Shen, Tommaso Bonato (ETH Zurich), Sylvain Jeaugey ( Want to scale beyond the limits of a single This webinar provides an introduction to high-performance Sylvain Jeaugey explores the mechanics of NVIDIA's NCCL library, detailing how it optimizes inter-GPU communication across diverse hardware configurations. The presentation covers the underlying architecture, efficient topology detection, and key strategies for accelerating deep learning training processes in multi-GPU and multi-node environments. Hello everyone, and welcome! I'm Patrick Lemoine, and in this video, we'll explore RCCL, What is CUDA? And how does parallel computing on the In this video from the 2019 OpenFabrics Workshop in Austin, Brian Barrett from Amazon presents: ML Performance research paper reading group session 1 meeting (2024/11/29). This was an intro session covering prerequisite ...
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