T. Chad Effler

According to our database, T. Chad Effler authored at least 6 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

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

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, Wael R. Elwasif, Nicholas Quentin Haas, Jeffrey Skolnick, Jianlin Cheng, Ada Sedova

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

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

Proceedings of the BCB '21: 12th ACM International Conference on Bioinformatics, 2021

2020

Performance Potential of Mixed Data Management Modes for Heterogeneous Memory Systems.

T. Chad Effler, Michael R. Jantz, Terry R. Jones

Proceedings of the IEEE/ACM Workshop on Memory Centric High Performance Computing, 2020

2019

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

Proceedings of the International Symposium on Memory Systems, 2019

2018

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

Proceedings of the Architecture of Computing Systems - ARCS 2018, 2018