1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AR2026
SynAct: A Reasoning-Acting Large Language Model Agent for Adaptive Synthesis Optimization
Fangzhou Liu, Peiyi Han, Jiawei Liu +5
Logic synthesis transforms RTL designs into gate-level netlists, where PPA results are highly sensitive to the choice of optimization commands, making synthesis tuning both high-di…
cs.AR2026★ 1 cited
PipeRTL: Timing-Aware Pipeline Optimization at IR-Level for RTL Generation
Shuo Yin, Fangzhou Liu, Lancheng Zou +6
Modern hardware compilers increasingly rely on rich intermediate representations (IRs) to preserve optimization-relevant semantics before generating RTL code. However, one importan…