Li Tang

Orcid: 0000-0002-7636-0876

Affiliations:
  • Los Alamos National Laboratory, Applied Computer Science, NM, USA


According to our database1, Li Tang authored at least 18 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
CLC: A cross-level program characterization method.
Perform. Evaluation, September, 2023

Harnessing Extreme Heterogeneity for Ocean Modeling with Tensors.
Proceedings of the 2nd International Workshop on Extreme Heterogeneity Solutions, 2023

2022
Cross-Level Characterization of Program Execution.
Proceedings of the 30th International Symposium on Modeling, 2022

Cross-Level Characterization of Program Behavior : (Extended Poster Abstract).
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.
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.
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.
CoRR, 2020

Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.
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.
Int. J. High Perform. Comput. Appl., 2019

MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows.
Future Gener. Comput. Syst., 2019

Application-level Studies of Cellular Neural Network-based Hardware Accelerators.
CoRR, 2019

2018
Use Cases of Computational Reproducibility for Scientific Workflows at Exascale.
CoRR, 2018

2017
PeaPaw: Performance and Energy-Aware Partitioning of Workload on Heterogeneous Platforms.
ACM Trans. Design Autom. Electr. Syst., 2017

Exploiting Non-Volatility for Information Processing.
Proceedings of the on Great Lakes Symposium on VLSI 2017, 2017

2015
PerDome: a performance model for heterogeneous computing systems.
Proceedings of the Symposium on High Performance Computing, 2015

2013
GPU acceleration of Data Assembly in Finite Element Methods and its energy implications.
Proceedings of the 24th International Conference on Application-Specific Systems, 2013

2012
On the Role of Co-design in High Performance Computing.
Proceedings of the Transition of HPC Towards Exascale Computing, 2012

2011
Characterizing the L1 Data Cache's Vulnerability to Transient Errors in Chip-Multiprocessors.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2011


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