A new technical paper titled “MAHL: Multi-Agent LLM-Guided Hierarchical Chiplet Design with Adaptive Debugging” was published by researchers at the University of Minnesota – Twin Cities. Abstract “As program workloads (e.g., AI) increase in size and algorithmic complexity, the primary challenge lies in their high dimensionality, encompassing computing cores, array sizes, and memory hierarchies. To... » read more The post LLM-Based Chiplet Design Generation Framework (Univ. of Minneso...