2 papers
cs.AI2026
LLM-FSM: Scaling Large Language Models for Finite-State Reasoning in RTL Code Generation
Yuheng Wu, Berk Gokmen, Zhouhua Xie +4
Finite-state reasoning, the ability to understand and implement state-dependent behavior, is central to hardware design. In this paper, we present LLM-FSM, a benchmark that evaluat…
cs.AR2025
Voyager: An End-to-End Framework for Design-Space Exploration and Generation of DNN Accelerators
Kartik Prabhu, Jeffrey Yu, Xinyuan Allen Pan +5
While deep neural networks (DNNs) have achieved state-of-the-art performance in fields from computer vision to natural language processing, efficiently running these computationall…