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ORCIDLi Tang 0007
Person information
- affiliation: Los Alamos National Laboratory, Applied Computer Science, NM, USA
Other persons with the same name
- Li Tang — disambiguation page
- Li Tang 0001
![[0000-0002-5347-3536]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-5347-3536")
— Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (and 1 more) - Li Tang 0002 — University of Iowa, Department of Ophthalmology and Visual Sciences, Iowa City, IA, USA
- Li Tang 0003 — Swiss Federal Institute of Technology EPFL, Institute of Bioengineering, Lausanne, Switzerland (and 2 more)
- Li Tang 0004 — Iowa State University, Department of Electrical and Computer Engineering, Ames, IA, USA
- Li Tang 0005 — Fudan University, Department of Public Administration, Shanghai, China (and 1 more)
- Li Tang 0006 — Zhejiang University, State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control, China
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2020 – today
- 2023
[j4]Li Tang, Scott Pakin:
CLC: A cross-level program characterization method. Perform. Evaluation 161: 102354 (2023)- [c11]Li Tang, Philip Jones, Scott Pakin:
Harnessing Extreme Heterogeneity for Ocean Modeling with Tensors. ExHET@PPoPP 2023: 3:1-3:6 - 2022
- [c10]Li Tang, Scott Pakin:
Cross-Level Characterization of Program Behavior : (Extended Poster Abstract). ISPASS 2022: 245-247 - [c9]Li Tang, Scott Pakin:
Cross-Level Characterization of Program Execution. MASCOTS 2022: 33-40 - 2021
- [c8]Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan M. Urban:
In Situ Climate Modeling for Analyzing Extreme Weather Events. ISAV@SC 2021: 18-23 - [c7]Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan M. Urban:
In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes. ISAV@SC 2021: 31-36 - 2020
- [c6]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:
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. ISAV@SC 2020: 15-19 - [i3]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:
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. CoRR abs/2008.13742 (2020)
2010 – 2019
- 2019
- [j3]Justin M. Wozniak, Matthieu Dorier, Robert B. Ross, Tong Shu, Tahsin M. Kurç, Li Tang, Norbert Podhorszki, Matthew Wolf:
MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows. Future Gener. Comput. Syst. 101: 576-589 (2019) - [j2]Line Pouchard, Sterling Baldwin, Todd Elsethagen, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam:
Computational reproducibility of scientific workflows at extreme scales. Int. J. High Perform. Comput. Appl. 33(5) (2019) - [i2]Qiuwen Lou, Indranil Palit, Li Tang, András Horváth, Michael T. Niemier, Xiaobo Sharon Hu:
Application-level Studies of Cellular Neural Network-based Hardware Accelerators. CoRR abs/1903.06649 (2019) - 2018
- [i1]Line Pouchard, Sterling Baldwin, Todd Elsethagen, Carlos Gamboa, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam:
Use Cases of Computational Reproducibility for Scientific Workflows at Exascale. CoRR abs/1805.00967 (2018) - 2017
- [j1]Li Tang, Richard F. Barrett, Jeanine E. Cook, Xiaobo Sharon Hu:
PeaPaw: Performance and Energy-Aware Partitioning of Workload on Heterogeneous Platforms. ACM Trans. Design Autom. Electr. Syst. 22(3): 41:1-41:26 (2017) - [c5]Robert Perricone, Li Tang, Michael T. Niemier, Xiaobo Sharon Hu:
Exploiting Non-Volatility for Information Processing. ACM Great Lakes Symposium on VLSI 2017: 305-310 - 2015
- [c4]Li Tang, Xiaobo Sharon Hu, Richard F. Barrett:
PerDome: a performance model for heterogeneous computing systems. SpringSim (HPS) 2015: 225-232 - 2013
- [c3]Li Tang, Xiaobo Sharon Hu, Danny Z. Chen, Michael T. Niemier, Richard F. Barrett, Simon D. Hammond, Genie Hsieh:
GPU acceleration of Data Assembly in Finite Element Methods and its energy implications. ASAP 2013: 321-328 - 2012
- [c2]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:
On the Role of Co-design in High Performance Computing. High Performance Computing Workshop (2) 2012: 141-155 - 2011
- [c1]Li Tang, Shuai Wang, Jie S. Hu, Xiaobo Sharon Hu:
Characterizing the L1 Data Cache's Vulnerability to Transient Errors in Chip-Multiprocessors. ISVLSI 2011: 266-271
Coauthor Index
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