Li Tang

19 papers B 2Misc 1Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
The ECP SICM project: Managing complex memory hierarchies for exascale applications.
Int. J. High Perform. Comput. Appl.
Roxana Bujack, Maya B. Gokhale, Latchesar Ionkov, Keita Iwabuchi, Michael R. Jantz, Terry R. Jones, Sumathi Lakshmiranganatha, Michael K. Lang, Jason Lee, Matthew Ben Olson, Scott Pakin, Roger Pearce, Jonathan Pietarila Graham, Li Tang, Terece L. Turton, Sean Williams
2023 J jnl
CLC: A cross-level program characterization method.
Perform. Evaluation
Li Tang, Scott Pakin
2023 — conf
Harnessing Extreme Heterogeneity for Ocean Modeling with Tensors.
ExHET@PPoPP
Li Tang, Philip Jones, Scott Pakin
2022 B conf
Cross-Level Characterization of Program Behavior : (Extended Poster Abstract).
ISPASS
Li Tang, Scott Pakin
2022 B conf
Cross-Level Characterization of Program Execution.
MASCOTS
Li Tang, Scott Pakin
2021 — conf
In Situ Climate Modeling for Analyzing Extreme Weather Events.
ISAV@SC
Soumya Dutta, Natalie Klein, Li Tang, Jonathan David Wolfe, Luke Van Roekel, James Joseph Benedict, Ayan Biswas, Earl Lawrence, Nathan M. Urban
2021 — conf
In-Situ Spatial Inference on Climate Simulations with Sparse Gaussian Processes.
ISAV@SC
Michael Grosskopf, Earl Lawrence, Ayan Biswas, Li Tang, Kelin Rumsey, Luke Van Roekel, Nathan M. Urban
2020 — conf
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.
ISAV@SC
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
2020 J jnl
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool.
CoRR
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
2019 J jnl
Application-level Studies of Cellular Neural Network-based Hardware Accelerators.
CoRR
Qiuwen Lou, Indranil Palit, Li Tang, András Horváth, Michael T. Niemier, Xiaobo Sharon Hu
2019 J jnl
Computational reproducibility of scientific workflows at extreme scales.
Int. J. High Perform. Comput. Appl.
Line Pouchard, Sterling Baldwin, Todd Elsethagen, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam
2019 J jnl
MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows.
Future Gener. Comput. Syst.
Justin M. Wozniak, Matthieu Dorier, Robert B. Ross, Tong Shu, Tahsin M. Kurç, Li Tang, Norbert Podhorszki, Matthew Wolf
2018 J jnl
Use Cases of Computational Reproducibility for Scientific Workflows at Exascale.
CoRR
Line Pouchard, Sterling Baldwin, Todd Elsethagen, Carlos Gamboa, Shantenu Jha, Bibi Raju, Eric G. Stephan, Li Tang, Kerstin Kleese van Dam
2017 — conf
Exploiting Non-Volatility for Information Processing.
ACM Great Lakes Symposium on VLSI
Robert Perricone, Li Tang, Michael T. Niemier, Xiaobo Sharon Hu
2017 J jnl
PeaPaw: Performance and Energy-Aware Partitioning of Workload on Heterogeneous Platforms.
ACM Trans. Design Autom. Electr. Syst.
Li Tang, Richard F. Barrett, Jeanine E. Cook, Xiaobo Sharon Hu
2015 — conf
PerDome: a performance model for heterogeneous computing systems.
SpringSim (HPS)
Li Tang, Xiaobo Sharon Hu, Richard F. Barrett
2013 — conf
GPU acceleration of Data Assembly in Finite Element Methods and its energy implications.
ASAP
Li Tang, Xiaobo Sharon Hu, Danny Z. Chen, Michael T. Niemier, Richard F. Barrett, Simon D. Hammond, Genie Hsieh
2012 Misc conf
On the Role of Co-design in High Performance Computing.
High Performance Computing Workshop (2)
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
2011 — conf
Characterizing the L1 Data Cache's Vulnerability to Transient Errors in Chip-Multiprocessors.
ISVLSI
Li Tang, Shuai Wang, Jie S. Hu, Xiaobo Sharon Hu