activity
20202026
most citedFIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning

53 citations · 55 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AR2026

AUTOGATE: Automated Clock Gating via Toggling-Aware LLM-based RTL Rewriting

Yiting Wang, Chenhui Deng, Chia-Tung Ho +6

Fine-grain clock gating (FGCG) is among the most effective techniques for reducing dynamic power, yet current FGCG optimization flows remain largely manual. Recent LLM-based RTL op…

cs.AR2024★ 1 cited

BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation

Yingjie Li, Anthony Agnesina, Yanqing Zhang +2

Boolean algebraic manipulation is at the core of logic synthesis in Electronic Design Automation (EDA) design flow. Existing methods struggle to fully exploit optimization opportun…

cs.LG2022★ 1 cited

GATSPI: GPU Accelerated Gate-Level Simulation for Power Improvement

Yanqing Zhang, Haoxing Ren, Akshay Sridharan +1

In this paper, we present GATSPI, a novel GPU accelerated logic gate simulator that enables ultra-fast power estimation for industry sized ASIC designs with millions of gates. GATS…

cs.AR2020

MAVIREC: ML-Aided Vectored IR-DropEstimation and Classification

Vidya A. Chhabria, Yanqing Zhang, Haoxing Ren +3

Vectored IR drop analysis is a critical step in chip signoff that checks the power integrity of an on-chip power delivery network. Due to the prohibitive runtimes of dynamic IR dro…

cs.LG2020★ 53 cited

FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning

Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang +7

Design flow parameters are of utmost importance to chip design quality and require a painfully long time to evaluate their effects. In reality, flow parameter tuning is usually per…