Scalable Chiplet System for LLM Training, Finetuning and Reduced DRAM Accesses (Tsinghua University)


A new technical paper titled "Hecaton: Training and Finetuning Large Language Models with Scalable Chiplet Systems" was published by researchers at Tsinghua University. Abstract "Large Language Models (LLMs) have achieved remarkable success in various fields, but their training and finetuning require massive computation and memory, necessitating parallelism which introduces heavy communicat... » read more

Chiplet Architecture: Scalable and Cost-Efficient Systems for Irregular Applications (Princeton)


A new technical paper titled "DCRA: A Distributed Chiplet-based Reconfigurable Architecture for Irregular Applications" was published by researchers at Princeton University. Abstract "In recent years, the growing demand to process large graphs and sparse datasets has led to increased research efforts to develop hardware- and software-based architectural solutions to accelerate them. While... » read more