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Research Labs
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Circuits and VLSI Design
(22)
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22 results found
Circuits and VLSI Design
Clear all
2024
2020
Circuits and VLSI Design
2024
DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent
Chen-Chia Chang,
Chia-Tung (Mark) Ho
, Yaguang Li, Yiran Chen, Mark Haoxing Ren
VerilogCoder: Autonomous Verilog Coding Agents with Graph-based Planning and Abstract Syntax Tree (AST)-based Waveform Tracing Tool
Chia-Tung (Mark) Ho
, Mark Haoxing Ren,
Brucek Khailany
Large Language Model (LLM) for Standard Cell Layout Design Optimization
Chia-Tung (Mark) Ho
, Mark Haoxing Ren
Best Paper Award
GL0AM: GPU Accelerated Gate Level Logic Simulator
Yanqing Zhang
, Mark Haoxing Ren,
Brucek Khailany
Learning to Compare Hardware Designs for High-Level Synthesis
Yunsheng Bai
, Atefeh Sohrabizadeh, Zijian Ding,
Rongjian Liang
, Weikai Li, Ding Wang, Mark Haoxing Ren, Yizhou Sun, Jason Cong
A 0.190-pJ/bit 25.2-Gb/s/wire Inverter-Based AC-Coupled Transceiver for Short-Reach Die-to-Die Interfaces in 5-nm CMOS
Yoshinori Nishi
, John W. Poulton,
Xi Chen
,
Sanquan Song
,
Brian Zimmer
,
Walker Turner
,
Stephen Tell
,
Nikola Nedovic
,
John Wilson
,
William Dally
,
Tom Gray
BoolGebra: Attributed Graph-learning for Boolean Algebraic Manipulation
Yingjie Li, Anthony Agnesina,
Yanqing Zhang
, Mark Haoxing Ren, Cunxi Yu
Novel Transformer Model Based Clustering Method for Standard Cell Design Automation
Chia-Tung (Mark) Ho
, Ajay Chandna, David Guan, Alvin Ho, Minsoo Kim, Yaguang Li, Mark Haoxing Ren
ISPD
Best Paper Award
MedPart: A Multi-Level Evolutionary Differentiable Hypergraph Partitioner
Rongjian Liang
, Anthony Agnesina, Mark Haoxing Ren
GPU/ML-Enhanced Large Scale Global Routing Contest
Rongjian Liang
, Anthony Agnesina,
Wen-Hao Liu
, Mark Haoxing Ren
2020
NVCell: Generate Standard Cell Layout in Advanced Technology Nodes with Reinforcement Learning
Mark Haoxing Ren,
Matt Fojtik
,
Brucek Khailany
How Software Can "Chip In" to the IC Design Process: A Multidisciplinary Approach May Attract New Talent and Accelerate Innovation
Alicia Klinefelter
Opportunities for RTL and Gate Level Simulation using GPUs
Yanqing Zhang
, Mark Haoxing Ren,
Brucek Khailany
Accelerating Chip Design with Machine Learning
Brucek Khailany
, Mark Haoxing Ren,
Steve Dai
, Saad Godil,
Ben Keller
, Robert Kirby, Alicia Klinefelter,
Rangharajan Venkatesan
,
Yanqing Zhang
, Bryan Catanzaro,
William Dally
ParaGraph: Layout Parasitics and Device Parameter Prediction using Graph Neural Networks
Mark Haoxing Ren, George Kokai,
Walker Turner
, Ting-Sheng Ku
GRANNITE: Graph Neural Network Inference for Transferable Power Estimation
Yanqing Zhang
, Mark Haoxing Ren,
Brucek Khailany
DREAMPlace: Deep Learning Toolkit-Enabled GPU Acceleration for Modern VLSI Placement
Yibo Lin, Zixuan Jiang, Jiaqi Gu, Wuxi Li, Shounak Dhar, Mark Haoxing Ren,
Brucek Khailany
, David Z. Pan
2021 IEEE Transactions on Computer-Aided Design Donald O. Pederson Best Paper Award
Reference-Noise Compensation Scheme for Single- Ended Package-to-Package Links
Xi Chen
,
Nikola Nedovic
,
Stephen Tell
,
Sudhir Kudva
,
Brian Zimmer
,
Trey Greer
, John Poulton,
Sanquan Song
,
Walker Turner
,
John Wilson
,
Tom Gray
ABCDPlace: Accelerated Batch-based Concurrent Detailed Placement on Multi-threaded CPUs and GPUs
Yibo Lin, Wuxi Li, Jiaqi Gu, Mark Haoxing Ren,
Brucek Khailany
, David Z. Pan
A 0.32–128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm
Brian Zimmer
,
Rangharajan Venkatesan
, Yakun Sophia Shao,
Jason Clemons
,
Matt Fojtik
,
Ted Jiang
,
Ben Keller
, Alicia Klinefelter,
Nathaniel Pinckney
, Priyanka Raina,
Stephen Tell
,
Yanqing Zhang
,
William Dally
,
Joel Emer
,
Tom Gray
,
Steve Keckler
,
Brucek Khailany
JSSC 2020 Best Paper award
FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning
Zhiyao Xie, Guan-Qi Fang, Yu-Hung Huang, Mark Haoxing Ren,
Yanqing Zhang
,
Brucek Khailany
, Shao-Yun Fang, Jiang Hu, Yiran Chen, Erick Carvajal Barboza
PowerNet: Transferable Dynamic IR Drop Estimation via Maximum Convolutional Neural Network
Zhiyao Xie, Mark Haoxing Ren,
Brucek Khailany
, Ye Sheng, Santosh Santosh, Jiang Hu, Yiran Chen