A Strategy for Developing a Performance Portable Highly Scalable Application. - Michael Neff; Stefan Andersson; Aaron Vose; John M. Levesque (PARCO, 2015)

Relative debugging for a highly parallel hybrid computer system. - Luiz De Rose; Andrew Gontarek; Aaron Vose; Robert Moench; David Abramson 001; Minh Ngoc Dinh; Chao Jin 001 (SC, 2015)

A case study of CUDA FORTRAN and OpenACC for an atmospheric climate kernel. - Matthew R. Norman; Jeffrey M. Larkin; Aaron Vose; Katherine J. Evans (J. Comput. Sci., 2015)

An MPI/OpenACC implementation of a high-order electromagnetics solver with GPUDirect communication. - Matthew Otten; Jing Gong; Azamat Mametjanov; Aaron Vose; John M. Levesque; Paul F. Fischer; Misun Min (Int. J. High Perform. Comput. Appl., 2016)

Massively parallel and linear-scaling algorithm for second-order Møller-Plesset perturbation theory applied to the study of supramolecular wires. - Thomas Kjærgaard; Pablo Baudin; Dmytro Bykov; Janus Juul Eriksen; Patrick Ettenhuber; Kasper Kristensen; Jeff Larkin; Dmitry I. Lyakh; Filip Pawlowski; Aaron Vose; Yang Min Wang; Poul Jørgensen (Comput. Phys. Commun., 2017)

Interactive Distributed Deep Learning with Jupyter Notebooks. - Steven Andrew Farrell; Aaron Vose; Oliver Evans; Matthew L. Henderson; Shreyas Cholia; Fernando Pérez; Wahid Bhimji; Shane Canon; Rollin C. Thomas; Prabhat (ISC Workshops, 2018)

Recombination of Artificial Neural Networks. - Aaron Vose; Jacob Balma; Alex Heye; Alessandro Rigazzi; Charles Siegel; Diana Moise; Benjamin Robbins; Rangan Sukumar (CoRR, 2019)

PharML.Bind: Pharmacologic Machine Learning for Protein-Ligand Interactions. - Aaron D. Vose; Jacob Balma; Damon Farnsworth; Kaylie Anderson; Yuri K. Peterson (CoRR, 2019)

Deep Learning Predicts Protein-Ligand Interactions. - Jacob Balma; Aaron D. Vose; Yuri K. Peterson; Amar G. Chittiboyina; Pankaj Pandey; Charles R. Yates; Ikhlas A. Khan; Sreenivas R. Sukumar 001 (IEEE BigData, 2020)

Evaluating Gather and Scatter Performance on CPUs and GPUs. - Patrick Lavin; Jeffrey Young 001; Richard W. Vuduc; E. Jason Riedy; Aaron Vose; Daniel Ernst (MEMSYS, 2020)

The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic. - Sreenivas R. Sukumar 001; Jacob A. Balma; Christopher D. Rickett; Kristyn J. Maschhoff; Joseph Landman; Charles R. Yates; Amar G. Chittiboyina; Yuri K. Peterson; Aaron Vose; Kendall G. Byler; Jérôme Baudry; Ikhlas A. Khan (SMC, 2021)