T. Chad Effler

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 6

Top Topics

Protein Structure

Pairwise Distances

Data Management

Top Venues

Publications

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) (2022)
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)
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)
T. Chad Effler, Michael R. Jantz, Terry Jones
Performance Potential of Mixed Data Management Modes for Heterogeneous Memory Systems. MCHPC@SC (2020)
T. Chad Effler, Brandon Kammerdiener, Michael R. Jantz, Saikat Sengupta, Prasad A. Kulkarni, Kshitij A. Doshi, Terry Jones
Evaluating the effectiveness of program data features for guiding memory management. MEMSYS (2019)
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)