On Automated Feedback-Driven Data Placement in Multi-tiered Memory. - T. Chad Effler; Adam P. Howard; Tong Zhou; Michael R. Jantz; Kshitij A. Doshi; Prasad A. Kulkarni (ARCS, 2018)

Evaluating the effectiveness of program data features for guiding memory management. - T. Chad Effler; Brandon Kammerdiener; Michael R. Jantz; Saikat Sengupta; Prasad A. Kulkarni; Kshitij A. Doshi; Terry R. Jones (MEMSYS, 2019)

Performance Potential of Mixed Data Management Modes for Heterogeneous Memory Systems. - T. Chad Effler; Michael R. Jantz; Terry R. Jones (MCHPC@SC, 2020)

Modeling protein structures from predicted contacts with modern molecular dynamics potentials: accuracy, sensitivity, and refinement. - Russell B. Davidson; Mathialakan Thavappiragasam; T. Chad Effler; Jess Woods; Dwayne A. Elias; Jerry M. Parks; Ada Sedova (BCB, 2021)

High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function. - 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; et al. (MLHPC@SC, 2021)

OpenMDlr: parallel, open-source tools for general protein structure modeling and refinement from pairwise distances. - Russell B. Davidson; Jess Woods; T. Chad Effler; Mathialakan Thavappiragasam; Julie C. Mitchell; Jerry M. Parks; Ada Sedova (Bioinform., 2022)