activity
20172026
most citedDesign-Phase Buffer Allocation for Post-Silicon Clock Binning by Iterative Learning

22 citations · 113 across the 46 of their papers we have counts for

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Showing cs.ARShow all

11 papers · 1 filter

cs.AR2025

Layer-wise Weight Selection for Power-Efficient Neural Network Acceleration

Jiaxun Fang, Grace Li Zhang, Shaoyi Huang

Systolic array accelerators execute CNNs with energy dominated by the switching activity of multiply accumulate (MAC) units. Although prior work exploits weight dependent MAC power…

cs.AR2025

VFocus: Better Verilog Generation from Large Language Model via Focused Reasoning

Zhuorui Zhao, Bing Li, Grace Li Zhang +1

Large Language Models (LLMs) have shown impressive potential in generating Verilog codes, but ensuring functional correctness remains a challenge. Existing approaches often rely on…

cs.AR2025★ 1 cited

VRank: Enhancing Verilog Code Generation from Large Language Models via Self-Consistency

Zhuorui Zhao, Ruidi Qiu, Ing-Chao Lin +3

Large Language Models (LLMs) have demonstrated promising capabilities in generating Verilog code from module specifications. To improve the quality of such generated Verilog codes,…

cs.AR2024

Classification-Based Automatic HDL Code Generation Using LLMs

Wenhao Sun, Bing Li, Grace Li Zhang +3

While large language models (LLMs) have demonstrated the ability to generate hardware description language (HDL) code for digital circuits, they still suffer from the hallucination…

cs.AR2024

EncodingNet: A Novel Encoding-based MAC Design for Efficient Neural Network Acceleration

Bo Liu, Grace Li Zhang, Xunzhao Yin +2

Deep neural networks (DNNs) have achieved great breakthroughs in many fields such as image classification and natural language processing. However, the execution of DNNs needs to c…

cs.AR2022★ 3 cited

CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation

Amro Eldebiky, Grace Li Zhang, Georg Boecherer +2

The last decade has witnessed the breakthrough of deep neural networks (DNNs) in many fields. With the increasing depth of DNNs, hundreds of millions of multiply-and-accumulate (MA…

cs.AR2022

VirtualSync+: Timing Optimization with Virtual Synchronization

Grace Li Zhang, Bing Li, Xing Huang +4

In digital circuit designs, sequential components such as flip-flops are used to synchronize signal propagations. Logic computations are aligned at and thus isolated by flip-flop s…

cs.AR2017★ 22 cited

Design-Phase Buffer Allocation for Post-Silicon Clock Binning by Iterative Learning

Li Zhang, Bing Li, Jinglan Liu +2

At submicron manufacturing technology nodes, pro- cess variations affect circuit performance significantly. To counter these variations, engineers are reserving more timing margin…

cs.AR2017★ 18 cited

PieceTimer: A Holistic Timing Analysis Framework Considering Setup/Hold Time Interdependency Using A Piecewise Model

Grace Li Zhang, Bing Li, Ulf Schlichtmann

In static timing analysis, clock-to-q delays of flip-flops are considered as constants. Setup times and hold times are characterized separately and also used as constants. The char…

cs.AR2017★ 21 cited

EffiTest: Efficient Delay Test and Statistical Prediction for Configuring Post-silicon Tunable Buffers

Grace Li Zhang, Bing Li, Ulf Schlichtmann

At nanometer manufacturing technology nodes, process variations significantly affect circuit performance. To combat them, post- silicon clock tuning buffers can be deployed to bala…

cs.AR2017★ 18 cited

Sampling-based Buffer Insertion for Post-Silicon Yield Improvement under Process Variability

Grace Li Zhang, Bing Li, Ulf Schlichtmann

At submicron manufacturing technology nodes process variations affect circuit performance significantly. This trend leads to a large timing margin and thus overdesign to maintain y…