activity
20212026
most citedIntelligent4DSE: Optimizing High-Level Synthesis Design Space Exploration with Graph Neural Networks and Large Language Models

1 citations · 2 across the 7 of their papers we have counts for

collaborators
Showing cs.ARShow all

2 papers · 1 filter

cs.AR2026

SoberDSE: Sample-Efficient Design Space Exploration via Learning-Based Algorithm Selection

Lei Xu, Shanshan Wang, Chenglong Xiao

High-Level Synthesis (HLS) is a pivotal electronic design automation (EDA) technology that enables the generation of hardware circuits from high-level language descriptions. A crit…

cs.AR2026

MPM-LLM4DSE: Reaching the Pareto Frontier in HLS with Multimodal Learning and LLM-Driven Exploration

Lei Xu, Shanshan Wang, Chenglong Xiao

High-Level Synthesis (HLS) design space exploration (DSE) seeks Pareto-optimal designs within expansive pragma configuration spaces. To accelerate HLS DSE, graph neural networks (G…