most citedThe Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models

21 citations · 21 across the 3 of their papers we have counts for

collaborators

6 papers

cs.AR2026

When Algorithmic Exploration Becomes Cheap: A Case Study of Agentic Research in EDA

Keren Zhu, Yu Deng, Xiaoyu Hao +6

As EDA researchers, we conducted eight deliberate trials of agentic algorithm exploration, selecting several topics outside our areas of depth. One faculty member and seven student…

cs.AR2026

Beyond No-Good Benders Cuts: Exact Realizability for Discretely Tunable Clock Trees

Boxiang Song, Keren Zhu

Useful-skew schedules can satisfy timing constraints yet remain unrealizable by a fixed clock tree with discrete tuning choices. We formulate this mismatch as exact membership in a…

cs.AR2026

FAPO: Fanout-Aware Post-Mapping Optimization for LUT-Based FPGAs

Xiaoyu Hao, Keren Zhu

Reducing logic depth during FPGA technology mapping can leave fanout bottlenecks in the resulting LUT network. LUT replication redistributes these loads but consumes area and incre…

cs.LO2026

Rethinking Logic Optimization Operators: Theory-Derived Operator Compression via Agentic Source Analysis

Keren Zhu

Logic synthesis has evolved from compact two-level minimization to large multilevel flows with many interacting optimization operators. Recent work has invested substantial effort…

cs.AR2026

Provably Good Prim-Dijkstra Revisited: New Theory and a Practical Algorithm for a Classical VLSI Routing Problem with LLMs

Keren Zhu

Large language models may make precise but dormant algorithmic problems practical to revisit, and may expose new paths toward fundamental ones. We demonstrate this possibility thro…

cs.AR2024★ 21 cited

The Dawn of AI-Native EDA: Opportunities and Challenges of Large Circuit Models

Lei Chen, Yiqi Chen, Zhufei Chu +36

Within the Electronic Design Automation (EDA) domain, AI-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies.…