Li Tang

According to our database, Li Tang authored at least 17 papers between 2011 and 2023.

Collaborative distances:

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

2023

CLC: A cross-level program characterization method.

Li Tang, Scott Pakin

Perform. Evaluation, September, 2023

Harnessing Extreme Heterogeneity for Ocean Modeling with Tensors.

Li Tang, Philip Jones, Scott Pakin

Proceedings of the 2nd International Workshop on Extreme Heterogeneity Solutions, 2023

2022

Cross-Level Characterization of Program Execution.

Li Tang, Scott Pakin

Proceedings of the 30th International Symposium on Modeling, 2022

Cross-Level Characterization of Program Behavior : (Extended Poster Abstract).

Li Tang, Scott Pakin

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

2021

In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes.

Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan M. Urban

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

In Situ Climate Modeling for Analyzing Extreme Weather Events.

Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan M. Urban

Proceedings of the ISAV@SC 21: In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2021

2020

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.

Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi, Cong Xie, Kevin A. Huck, Jong Youl Choi, Abid Malik, Li Tang, Hubertus Van Dam, Line Pouchard, Wei Xu, Shinjae Yoo, Nicholas D'Imperio, Kerstin Kleese van Dam

CoRR, 2020

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.

Christopher Kelly, Sungsoo Ha, Kevin A. Huck, Hubertus Van Dam, Line Pouchard, Gyorgy Matyasfalvi, Li Tang, Nicholas D'Imperio, Wei Xu, Shinjae Yoo, Kerstin Kleese van Dam

Proceedings of the ISAV@SC 2020: ISAV'20 In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2020

2019

Computational reproducibility of scientific workflows at extreme scales.

Line Pouchard, Sterling Baldwin, Todd Elsethagen, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam

Int. J. High Perform. Comput. Appl., 2019

MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows.

Justin M. Wozniak, Matthieu Dorier, Robert B. Ross, Tong Shu, Tahsin M. Kurç, Li Tang, Norbert Podhorszki, Matthew Wolf

Future Gener. Comput. Syst., 2019

Application-level Studies of Cellular Neural Network-based Hardware Accelerators.

Qiuwen Lou, Indranil Palit, Li Tang, András Horváth, Michael T. Niemier, Xiaobo Sharon Hu

CoRR, 2019

2018

Use Cases of Computational Reproducibility for Scientific Workflows at Exascale.

Line Pouchard, Sterling Baldwin, Todd Elsethagen, Carlos Gamboa, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam

CoRR, 2018

2017

PeaPaw: Performance and Energy-Aware Partitioning of Workload on Heterogeneous Platforms.

Li Tang, Richard F. Barrett, Jeanine E. Cook, Xiaobo Sharon Hu

ACM Trans. Design Autom. Electr. Syst., 2017

Exploiting Non-Volatility for Information Processing.

Robert Perricone, Li Tang, Michael T. Niemier, Xiaobo Sharon Hu

Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

2013

GPU acceleration of Data Assembly in Finite Element Methods and its energy implications.

Li Tang, Xiaobo Sharon Hu, Danny Z. Chen, Michael T. Niemier, Richard F. Barrett, Simon D. Hammond, Genie Hsieh

Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012

On the Role of Co-design in High Performance Computing.

Richard F. Barrett, Shekhar Borkar, Sudip S. Dosanjh, Simon D. Hammond, Michael A. Heroux, Xiaobo Sharon Hu, Justin Luitjens, Steven G. Parker, John Shalf, Li Tang

Proceedings of the Transition of HPC Towards Exascale Computing, 2012

2011

Characterizing the L1 Data Cache's Vulnerability to Transient Errors in Chip-Multiprocessors.

Li Tang, Shuai Wang, Jie S. Hu, Xiaobo Sharon Hu

Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2011