Optimizing PyTorch on CPU-GPU Coherent Platforms - Matthias Jouanneaux, Nvidia
In recent years, both Nvidia and AMD have introduced hardware coherent platforms: GH200, GB200 and MI300A. These coherent platforms provide both many new features and challenges for PyTorch applications attempting to make the most out of the platform.
This talk will focus on Nvidia's GB200 and walk through techniques to utilize the features of the coherent architecture in PyTorch, such as the high CPU-GPU interconnect bandwidth, unified memory, as well as the advantages and caveats of sharing system memory between CPU and GPU.