7 citations · 15 across the 8 of their papers we have counts for
8 papers
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…
DiffPattern-Flex: Efficient Layout Pattern Generation via Discrete Diffusion
Zixiao Wang, Wenqian Zhao, Yunheng Shen +4
Recent advancements in layout pattern generation have been dominated by deep generative models. However, relying solely on neural networks for legality guarantees raises concerns i…
MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations
Zixiao Wang, Jingwei Zhang, Wenqian Zhao +2
Few-shot gradient methods have been extensively utilized in existing model pruning methods, where the model weights are regarded as static values and the effects of potential weigh…
ChatPattern: Layout Pattern Customization via Natural Language
Zixiao Wang, Yunheng Shen, Xufeng Yao +4
Existing works focus on fixed-size layout pattern generation, while the more practical free-size pattern generation receives limited attention. In this paper, we propose ChatPatter…
SoC-Tuner: An Importance-guided Exploration Framework for DNN-targeting SoC Design
Shixin Chen, Su Zheng, Chen Bai +4
Designing a system-on-chip (SoC) for deep neural network (DNN) acceleration requires balancing multiple metrics such as latency, power, and area. However, most existing methods ign…
DiffPattern: Layout Pattern Generation via Discrete Diffusion
Zixiao Wang, Yunheng Shen, Wenqian Zhao +4
Deep generative models dominate the existing literature in layout pattern generation. However, leaving the guarantee of legality to an inexplicable neural network could be problema…
A High-Performance Accelerator for Super-Resolution Processing on Embedded GPU
Wenqian Zhao, Qi Sun, Yang Bai +4
Recent years have witnessed impressive progress in super-resolution (SR) processing. However, its real-time inference requirement sets a challenge not only for the model design but…
AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns
Wenqian Zhao, Xufeng Yao, Ziyang Yu +4
Optical proximity correction (OPC) is a widely-used resolution enhancement technique (RET) for printability optimization. Recently, rigorous numerical optimization and fast machine…