Scheduling Architecture Integrated With M3D BEOL Memories For LLM Inference (Georgia Tech, Samsung)

A new technical paper titled “Architecting Long-Context LLM Acceleration with Packing-Prefetch Scheduler and Ultra-Large Capacity On-Chip Memories” was published by researchers at Georgia Institute of Technology and Samsung. Abstract “Long-context Large Language Model (LLM) inference faces increasing compute bottlenecks as attention calculations scale with context length, primarily due to the growing KV-cache transfer overhead that… » read moreRead More