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Journal Articles
- 2022
[j1]Russell B. Davidson
, Jess Woods, T. Chad Effler, Mathialakan Thavappiragasam, Julie C. Mitchell, Jerry M. Parks, Ada Sedova:
OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distances. Bioinform. 38(12): 3297-3298 (2022)
Conference and Workshop Papers
- 2021
- [c5]Russell B. Davidson, Mathialakan Thavappiragasam, T. Chad Effler, Jess Woods, Dwayne A. Elias, Jerry M. Parks, Ada Sedova:
Modeling protein structures from predicted contacts with modern molecular dynamics potentials: accuracy, sensitivity, and refinement. BCB 2021: 21:1-21:10 - [c4]Mu Gao, Peik Lund-Andersen, Alex Morehead, Sajid Mahmud, Chen Chen, Xiao Chen, Nabin Giri, Raj S. Roy, Farhan Quadir, T. Chad Effler, Ryan Prout, Subil Abraham, Wael R. Elwasif, Nicholas Quentin Haas, Jeffrey Skolnick, Jianlin Cheng, Ada Sedova:
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function. MLHPC@SC 2021: 46-57 - 2020
- [c3]T. Chad Effler, Michael R. Jantz, Terry R. Jones:
Performance Potential of Mixed Data Management Modes for Heterogeneous Memory Systems. MCHPC@SC 2020: 10-16 - 2019
- [c2]T. Chad Effler, Brandon Kammerdiener, Michael R. Jantz, Saikat Sengupta, Prasad A. Kulkarni, Kshitij A. Doshi, Terry R. Jones:
Evaluating the effectiveness of program data features for guiding memory management. MEMSYS 2019: 383-395 - 2018
- [c1]T. Chad Effler, Adam P. Howard, Tong Zhou, Michael R. Jantz, Kshitij A. Doshi, Prasad A. Kulkarni:
On Automated Feedback-Driven Data Placement in Multi-tiered Memory. ARCS 2018: 181-194
Coauthor Index
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