Yanjie Gao

An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI Project

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

CLUSTER 2023 | October 2023

The 25th IEEE International Conference on Cluster Computing

Author's Version DOI Project

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI Project

Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI Project

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

MSR-TR-2021-3 | February 2021

Published by Microsoft

Publication

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Project

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

MSR-TR-2020-20 | May 2020

Published by Microsoft

Publication

TR-Spark: Transient Computing for Big Data Analytics

Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, Thomas Moscibroda

SoCC '16 Proceedings of the Seventh ACM Symposium on Cloud Computing | October 2016

ISBN: 978-1-4503-4525-5

Publication Publication

An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI Project

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

CLUSTER 2023 | October 2023

The 25th IEEE International Conference on Cluster Computing

Author's Version DOI Project

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI Project

Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI Project

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

MSR-TR-2021-3 | February 2021

Published by Microsoft

Publication

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Project

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

MSR-TR-2020-20 | May 2020

Published by Microsoft

Publication

An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI Project

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI Project

Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI Project

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

MSR-TR-2021-3 | February 2021

Published by Microsoft

Publication

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Project

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

MSR-TR-2020-20 | May 2020

Published by Microsoft

Publication

An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI Project

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

CLUSTER 2023 | October 2023

The 25th IEEE International Conference on Cluster Computing

Author's Version DOI Project

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI Project

Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI Project

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

MSR-TR-2021-3 | February 2021

Published by Microsoft

Publication

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Project

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

MSR-TR-2020-20 | May 2020

Published by Microsoft

Publication

TR-Spark: Transient Computing for Big Data Analytics

Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, Thomas Moscibroda

SoCC '16 Proceedings of the Seventh ACM Symposium on Cloud Computing | October 2016

ISBN: 978-1-4503-4525-5

Publication Publication

An Empirical Study on Low GPU Utilization of Deep Learning Jobs

Yanjie Gao, Yichen He, Xinze Li, Bo Zhao, Haoxiang Lin, Yoyo Liang, Jing Zhong, Hongyu Zhang, Jingzhou Wang, Yonghua Zeng, Keli Gui, Jie Tong, Mao Yang

ICSE 2024 | April 2024

The 46th International Conference on Software Engineering

Author's Version DOI Project

GPU Occupancy Prediction of Deep Learning Models Using Graph Neural Network

Hengquan Mei, Huaizhi Qu, Jingwei Sun, Yanjie Gao, Haoxiang Lin, Guangzhong Sun

CLUSTER 2023 | October 2023

The 25th IEEE International Conference on Cluster Computing

Author's Version DOI Project

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

An Empirical Study on Quality Issues of Deep Learning Platform

Yanjie Gao, Xiaoxiang Shi, Haoxiang Lin, Hongyu Zhang, Hao Wu, Rui Li, Mao Yang

ICSE 2023 | May 2023

The 45th International Conference on Software Engineering, Software Engineering in Practice (SEIP) Track

Author's Version DOI Project

Refty: Refinement Types for Valid Deep Learning Models

Yanjie Gao, Zhengxian Li, Haoxiang Lin, Hongyu Zhang, Ming Wu, Mao Yang

ICSE 2022 | May 2022

The 44th International Conference on Software Engineering

Author's Version DOI Project

Resource-Guided Configuration Space Reduction for Deep Learning Models

Yanjie Gao, Yonghao Zhu, Hongyu Zhang, Haoxiang Lin, Mao Yang

ICSE 2021 | May 2021

The 43rd International Conference on Software Engineering

Author's Version DOI Project

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

ESEC/FSE 2020 | November 2020

The 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Industry Track

Author's Version DOI Project

TR-Spark: Transient Computing for Big Data Analytics

Ying Yan, Yanjie Gao, Yang Chen, Zhongxin Guo, Bole Chen, Thomas Moscibroda

SoCC '16 Proceedings of the Seventh ACM Symposium on Cloud Computing | October 2016

ISBN: 978-1-4503-4525-5

Publication Publication

Runtime Performance Prediction for Deep Learning Models with Graph Neural Network (Tech Report)

Yanjie Gao, Xianyu Gu, Hongyu Zhang, Haoxiang Lin, Mao Yang

MSR-TR-2021-3 | February 2021

Published by Microsoft

Publication

Estimating GPU Memory Consumption of Deep Learning Models

Yanjie Gao, Yu Liu, Hongyu Zhang, Zhengxian Li, Yonghao Zhu, Haoxiang Lin, Mao Yang

MSR-TR-2020-20 | May 2020

Published by Microsoft

Publication