Lingjie Xu

According to our database, Lingjie Xu authored at least 12 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

壁仞™ BR100 GPGPU: Accelerating Datacenter Scale AI Computing.

Mike Hong, Lingjie Xu

Proceedings of the 2022 IEEE Hot Chips 34 Symposium, 2022

2020

Residual Attention Net for Superior Cross-Domain Time Sequence Modeling.

Seth H. Huang, Lingjie Xu, Congwei Jiang

CoRR, 2020

MLPerf Training Benchmark.

Peter Mattson, Christine Cheng, Gregory F. Diamos, Cody Coleman, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debo Dutta, Udit Gupta, Kim M. Hazelwood, Andy Hock, Xinyuan Huang, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia

Proceedings of Machine Learning and Systems 2020, 2020

MLPerf Inference Benchmark.

Vijay Janapa Reddi, Christine Cheng, David Kanter, Peter Mattson, Guenther Schmuelling, Carole-Jean Wu, Brian Anderson, Maximilien Breughe, Mark Charlebois, William Chou, Ramesh Chukka, Cody Coleman, Sam Davis, Pan Deng, Greg Diamos, Jared Duke, Dave Fick, J. Scott Gardner, Itay Hubara, Sachin Idgunji, Thomas B. Jablin, Jeff Jiao, Tom St. John, Pankaj Kanwar, David Lee, Jeffery Liao, Anton Lokhmotov, Francisco Massa, Peng Meng, Paulius Micikevicius, Colin Osborne, Gennady Pekhimenko, Arun Tejusve Raghunath Rajan, Dilip Sequeira, Ashish Sirasao, Fei Sun, Hanlin Tang, Michael Thomson, Frank Wei, Ephrem Wu, Lingjie Xu, Koichi Yamada, Bing Yu, George Yuan, Aaron Zhong, Peizhao Zhang, Yuchen Zhou

Proceedings of the 47th ACM/IEEE Annual International Symposium on Computer Architecture, 2020

XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

2019

MLPerf Training Benchmark.

Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia

CoRR, 2019

AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers.

Wei Zhang, Wei Wei, Lingjie Xu, Lingling Jin, Cheng Li

CoRR, 2019

Across-Stack Profiling and Characterization of Machine Learning Models on GPUs.

Cheng Li, Abdul Dakkak, Jinjun Xiong, Wei Wei, Lingjie Xu, Wen-Mei Hwu

CoRR, 2019

Priority-Based PCIe Scheduling for Multi-Tenant Multi-GPU Systems.

Chen Li, Jun Yang, Yifan Sun, Lingling Jin, Lingjie Xu, Zheng Cao, Pengfei Fan, David R. Kaeli, Sheng Ma, Yang Guo

IEEE Comput. Archit. Lett., 2019

Feedback-Added Pseudoinverse-Type Balanced Minimization Scheme for Kinematic Control of Redundant Robot Manipulators.

Zhenhuan Wang, Boyang Wang, Lingjie Xu, Qinyu Xie

IEEE Access, 2019

2018

BenchIP: Benchmarking Intelligence Processors.

Jinhua Tao, Zidong Du, Qi Guo, Huiying Lan, Lei Zhang, Shengyuan Zhou, Lingjie Xu, Cong Liu, Hai-Feng Liu, Shan Tang, Allen Rush, Willian Chen, Shaoli Liu, Yunji Chen, Tianshi Chen

J. Comput. Sci. Technol., 2018

AI Matrix - Synthetic Benchmarks for DNN.

Wei Wei, Lingjie Xu, Lingling Jin, Wei Zhang, Tianjun Zhang

CoRR, 2018