Intel Xeon

Intel Xeon processors are increasingly central to high-performance computing, particularly in accelerating machine learning workloads. Current research emphasizes optimizing various AI pipelines on Xeon platforms, focusing on techniques like distributed training (using frameworks such as Horovod), transfer learning, and efficient handling of large-scale graph neural networks (e.g., GraphSAGE, GAT). This focus stems from Xeon's scalability, large memory capacity, and integrated AI acceleration features, making them cost-effective solutions for diverse applications ranging from computer vision and natural language processing to recommendation systems and even specialized domains like satellite pose estimation.

Papers