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2020 – today
- 2024
[c5]Alexandre Chen
, Brittany A. Erickson, Jeremy E. Kozdon, Jee Choi:
Matrix-free SBP-SAT finite difference methods and the multigrid preconditioner on GPUs. ICS 2024: 400-412- 2023
- [c4]Akash Dutta, Jee Choi, Ali Jannesari:
Power Constrained Autotuning using Graph Neural Networks. IPDPS 2023: 535-545 - [c3]Joseph Mclaughlin, Jee Choi, Ramakrishnan Durairajan:
×Grid: A Location-oriented Topology Design for LEO Satellites. LEO-NET 2023: 37-42 - [i2]Akash Dutta, Jee Choi, Ali Jannesari:
Power Constrained Autotuning using Graph Neural Networks. CoRR abs/2302.11467 (2023) - [i1]S. Isaac Geronimo Anderson, Keita Teranishi, Daniel M. Dunlavy, Jee Choi:
Analyzing the Performance Portability of Tensor Decomposition. CoRR abs/2307.03276 (2023)
2010 – 2019
- 2017
- [c2]Jiajia Li, Jee Choi, Ioakeim Perros, Jimeng Sun, Richard W. Vuduc:
Model-Driven Sparse CP Decomposition for Higher-Order Tensors. IPDPS 2017: 1048-1057 - 2011
- [j1]Senyo Apewokin, Brian Valentine, Jee Choi, Linda M. Wills, D. Scott Wills:
Real-Time Adaptive Background Modeling for Multicore Embedded Systems. J. Signal Process. Syst. 62(1): 65-76 (2011)
2000 – 2009
- 2008
- [c1]Brian Valentine, Jee Choi, Senyo Apewokin, Linda M. Wills, D. Scott Wills:
Bypassing BigBackground: An efficient hybrid background modeling algorithm for embedded video surveillance. ICDSC 2008: 1-8
Coauthor Index
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