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Zhongyi Lin
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 11
Top Topics
Sign Detection And Recognition
Learning Frameworks
Graphics Processing Units
Inference Process
Top Venues
CoRR
IEEE Trans. Intell. Veh.
ISPASS
Euro-Par
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Publications
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Zhongyi Lin
,
Ning Sun
,
Pallab Bhattacharya
,
Xizhou Feng
,
Louis Feng
,
John D. Owens
Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms.
CoRR
(2024)
Mingyu Liang
,
Wenyin Fu
,
Louis Feng
,
Zhongyi Lin
,
Pavani Panakanti
,
Srinivas Sridharan
,
Christina Delimitrou
Mystique: Accurate and Scalable Production AI Benchmarks Generation.
CoRR
(2023)
Mingyu Liang
,
Wenyin Fu
,
Louis Feng
,
Zhongyi Lin
,
Pavani Panakanti
,
Shengbao Zheng
,
Srinivas Sridharan
,
Christina Delimitrou
Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks.
ISCA
(2023)
Zhongyi Lin
,
Louis Feng
,
Ehsan K. Ardestani
,
Jaewon Lee
,
John Lundell
,
Changkyu Kim
,
Arun Kejariwal
,
John D. Owens
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.
ISPASS
(2022)
Zhongyi Lin
,
Louis Feng
,
Ehsan K. Ardestani
,
Jaewon Lee
,
John Lundell
,
Changkyu Kim
,
Arun Kejariwal
,
John D. Owens
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.
CoRR
(2022)
Zhongyi Lin
,
Louis Feng
,
Ehsan K. Ardestani
,
Jaewon Lee
,
John Lundell
,
Changkyu Kim
,
Arun Kejariwal
,
John D. Owens
Building a Performance Model for Deep Learning Recommendation Model Training on GPUs.
HIPC
(2022)
Zhongyi Lin
,
Evangelos Georganas
,
John D. Owens
Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs.
Euro-Par
(2021)
Zhongyi Lin
,
Yang Cao
,
Huasheng Liu
,
Jin Li
,
Shuzhi Zhao
Research on Optimization of Urban Public Transport Network Based on Complex Network Theory.
Symmetry
13 (12) (2021)
Zhongyi Lin
,
Matthew Yih
,
Jeffrey M. Ota
,
John D. Owens
,
Pinar Muyan-Özçelik
Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection.
IEEE Trans. Intell. Veh.
4 (3) (2019)
Xiaoyun Wang
,
Zhongyi Lin
,
Carl Yang
,
John D. Owens
Accelerating DNN Inference with GraphBLAS and the GPU.
HPEC
(2019)
Zhongyi Lin
,
Jeffrey M. Ota
,
John D. Owens
,
Pinar Muyan-Özçelik
Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset.
Intelligent Vehicles Symposium
(2018)