Modeling Multi-GPU Traffic For Distributed AI Workloads (UW Madison, AMD)

Researchers from University of Wisconsin-Madison and AMD Research and Advanced Development published a technical paper titled “Eidola: Modeling Multi-GPU Network Communication Traffic in Distributed AI Workloads.” Abstract: “As distributed AI workloads grow in scale, multi-GPU systems have become essential for training large models. Although techniques like kernel fusion and overlapping communication with computation help reduce... » read more The post Modeling Multi-GPU Traffic For Distributed AI Workloads (UW Madison, AMD) appeared first on Semiconductor Engineering .