Zhongyi Lin - RankMe

13 papers A* 1B 2Misc 1Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms. IEEE Trans. Parallel Distributed Syst. Zhongyi Lin, Ning Sun, Pallab Bhattacharya, Xizhou Feng, Louis Feng, John D. Owens
2024	J	`jnl`	Towards Universal Performance Modeling for Machine Learning Training on Multi-GPU Platforms. CoRR Zhongyi Lin, Ning Sun, Pallab Bhattacharya, Xizhou Feng, Louis Feng, John D. Owens
2023	J	`jnl`	Mystique: Accurate and Scalable Production AI Benchmarks Generation. CoRR Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Srinivas Sridharan, Christina Delimitrou
2023	A*	`conf`	Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks. ISCA Mingyu Liang, Wenyin Fu, Louis Feng, Zhongyi Lin, Pavani Panakanti, Shengbao Zheng, Srinivas Sridharan, Christina Delimitrou
2023	—	`—`	Performance Modeling and Optimization for Machine Learning Workloads Zhongyi Lin
2022	Misc	`conf`	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. HIPC Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022	B	`conf`	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. ISPASS Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2022	J	`jnl`	Building a Performance Model for Deep Learning Recommendation Model Training on GPUs. CoRR Zhongyi Lin, Louis Feng, Ehsan K. Ardestani, Jaewon Lee, John Lundell, Changkyu Kim, Arun Kejariwal, John D. Owens
2021	J	`jnl`	Research on Optimization of Urban Public Transport Network Based on Complex Network Theory. Symmetry Zhongyi Lin, Yang Cao, Huasheng Liu, Jin Li, Shuzhi Zhao
2021	—	`conf`	Towards Flexible and Compiler-Friendly Layer Fusion for CNNs on Multicore CPUs. Euro-Par Zhongyi Lin, Evangelos Georganas, John D. Owens
2019	—	`conf`	Accelerating DNN Inference with GraphBLAS and the GPU. HPEC Xiaoyun Wang, Zhongyi Lin, Carl Yang, John D. Owens
2019	J	`jnl`	Benchmarking Deep Learning Frameworks and Investigating FPGA Deployment for Traffic Sign Classification and Detection. IEEE Trans. Intell. Veh. Zhongyi Lin, Matthew Yih, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik
2018	B	`conf`	Benchmarking Deep Learning Frameworks with FPGA-suitable Models on a Traffic Sign Dataset. Intelligent Vehicles Symposium Zhongyi Lin, Jeffrey M. Ota, John D. Owens, Pinar Muyan-Özçelik