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20232026
most citedRTLCoder: Outperforming GPT-3.5 in Design RTL Generation with Our Open-Source Dataset and Lightweight Solution

95 citations · 108 across the 20 of their papers we have counts for

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10 papers · 1 filter

cs.AR2026

FABO: Agent-Guided Discovery of Joint Breakpoint Optimization for Timing-Driven Routing Trees

Shang Liu, Wenji Fang, Jing Wang +3

The topology of a routing tree determines how a multi-pin net branches and shares physical wire, directly affecting wirelength, congestion, capacitance, and delay. We study a centr…

cs.CE2026

COOL: A Cooling-Aware Point Transformer Framework for Thermal Prediction in Advanced 3D/3.5D IC Packaging

Yao Lu, Zhicheng Guo, Qijun Zhang +4

Advanced 3D and 3.5D IC packaging significantly improves integration density but elevates thermal management challenges due to cross-layer heat coupling and complex cooling structu…

cs.AR2026

G-Power: Architecture-level GPU Power Modeling with Aggregated Knowledge Foundations from Known GPUs

Qijun Zhang, Yao Lu, Shang Liu +4

Graphics Processing Units (GPUs) have been serving as critical computation resources for large-scale parallel computations. With increasing chip complexity, power efficiency has be…

cs.AR2026

RTL-Sequencer: Towards Scalable RTL Timing Prediction with the Sequence-based Paradigm

Ziyan Guo, Wenji Fang, Wenkai Li +3

Accurate timing prediction at the register-transfer level (RTL) is a longstanding challenge in design automation. Existing graph-based methods struggle with limited receptive field…

cs.AR2026

IMPart: Integration of Memetic Operations into Multi-Level Framework for Large-k-Way Hypergraph Partitioning

Yugao Zhu, Zhicheng Guo, Shang Liu +3

The problem of k-way hypergraph partitioning is fundamental with significant applications in various fields, including VLSI design and scientific computing. State-of-the-art hyperg…

cs.AI2026

RTL-BenchLS: A Large-Scale Benchmark for RTL Reasoning and Generation with Large Language Models

Jing Wang, Shang Liu, Wenji Fang +3

LLM-based RTL generation and reasoning is a promising direction for hardware design automation. High-quality benchmarks are critical infrastructure for tracking progress in this di…