3 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…
cs.LO2024
Efficiently Synthesizing Lowest Cost Rewrite Rules for Instruction Selection
Ross Daly, Caleb Donovick, Caleb Terrill +4
Compiling programs to an instruction set architecture (ISA) requires a set of rewrite rules that map patterns consisting of compiler instructions to patterns consisting of ISA inst…