1 citations · 1 across the 11 of their papers we have counts for
12 papers
Partitioning-free 3D-IC Floorplanning
Shuo Ren, Rongliang Fu, Libo Shen +5
3D integration with fine-pitch hybrid bonding offers a promising path to alleviate interconnect bottlenecks in conventional two-dimensional (2D) ICs, yet efficient 3D floorplanning…
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…
AgenticECO: An Agentic Framework for ECO on 3D Integrated Circuits
Shuo Ren, Yaohui Han, Libo Shen +4
As Moore's law slows, the industry is turning to three-dimensional integration; yet in merged 3D-IC flows, routed designs expose bond-level defects with no 2D analogue, and post-ro…
CLIP-3D: Closed-Loop Evaluation of Performance and Physical Constraints for 3D ICs
Shuo Ren, Libo Shen, Yaohui Han +6
3D integration packs more power into a smaller footprint, so a candidate design's actual throughput depends on its layout: which macro sits on which tier, where the hot spot lands,…
AgenticPD: A Stage-Aware Agentic Framework for Closed-Loop Physical Design Optimization
Shuo Ren, Zijin Cheng, Yaohui Han +7
Physical design quality-of-results (QoR) optimization is hard and expensive. Choices made at one stage can help or hurt later stages. Each evaluation requires a costly EDA run thro…
Chiplet3D: Pin- and Thermal-Aware 3D Chiplet Floorplanning via Convolution-Embedded MILP
Shuo Ren, Libo Shen, Yaohui Han +4
As traditional Moore's Law scaling slows down, 3D-ICs stack multiple active dies vertically to sustain performance scaling. However, this vertical stacking traps heat inside, makin…
AutoLPBench: An Auto-Generated, Agent-Friendly LP Benchmark via Inverse-KKT Construction
Shuo Ren, Yaohui Han, Yifan Shi +6
Most LP-from-text benchmarks are static datasets of word problems written and labeled by hand. Once such a dataset is released, its size is fixed, its difficulty is fixed, and ever…
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…
MappingEvolve: LLM-Driven Code Evolution for Technology Mapping
Rongliang Fu, Yi Liu, Qiang Xu +1
Technology mapping is a critical yet challenging stage in logic synthesis. While Large Language Models (LLMs) have been applied to generate optimization scripts, their potential fo…
AstroVLM: Expert Multi-agent Collaborative Reasoning for Astronomical Imaging Quality Diagnosis
Yaohui Han, Tianshuo Wang, Zixi Zhao +6
Vision Language Models (VLMs) have been applied to several specific domains and have shown strong problem-solving capabilities. However, astronomical imaging, a quite complex probl…
Towards Secure and Efficient DNN Accelerators via Hardware-Software Co-Design
Wei Xuan, Zihao Xuan, Rongliang Fu +8
The rapid deployment of deep neural network (DNN) accelerators in safety-critical domains such as autonomous vehicles, healthcare systems, and financial infrastructure necessitates…
SeDA: Secure and Efficient DNN Accelerators with Hardware/Software Synergy
Wei Xuan, Zhongrui Wang, Lang Feng +6
Ensuring the confidentiality and integrity of DNN accelerators is paramount across various scenarios spanning autonomous driving, healthcare, and finance. However, current security…