Effects of varying haptic feedback on driver distraction during vehicular window adjustment. - John K. Holmen; Mehrdad Hosseini Zadeh (AutomotiveUI, 2010)

Improving Vehicular Window Control with Haptic and Visual Feedback. - David Racine; John K. Holmen; Mehrdad Hosseini Zadeh; Mark Thompson 006 (EuroHaptics (1), 2010)

Accelerating Single Iteration Performance of CUDA-Based 3D Reaction-Diffusion Simulations. - John K. Holmen; David L. Foster (Int. J. Parallel Program., 2014)

Erratum to: Accelerating Single Iteration Performance of CUDA-Based 3D Reaction-Diffusion Simulations. - John K. Holmen; David L. Foster (Int. J. Parallel Program., 2014)

Improving Uintah's Scalability Through the Use of Portable Kokkos-Based Data Parallel Tasks. - John K. Holmen; Alan Humphrey; Daniel Sunderland; Martin Berzins (PEARC, 2017)

Demonstrating GPU code portability and scalability for radiative heat transfer computations. - Brad Peterson; Alan Humphrey; John K. Holmen; Todd Harman; Martin Berzins; Daniel Sunderland; H. Carter Edwards (J. Comput. Sci., 2018)

An Approach for Indirectly Adopting a Performance Portability Layer in Large Legacy Codes. - John K. Holmen; Brad Peterson; Martin Berzins (P3HPC@SC, 2019)

A Heterogeneous MPI+PPL Task Scheduling Approach for Asynchronous Many-Task Runtime Systems. - John K. Holmen; Damodar Sahasrabudhe; Martin Berzins (PEARC, 2021)

Porting uintah to heterogeneous systems. - John K. Holmen; Damodar Sahasrabudhe; Martin Berzins (PASC, 2022)

Portable, Scalable Approaches for Improving Asynchronous Many-Task Runtime Node Use. - John K. Holmen (2022)

Making Uintah Performance Portable for Department of Energy Exascale Testbeds. - John K. Holmen; Marta García; Abhishek Bagusetty; Allen Sanderson; Martin Berzins (Euro-Par Workshops, 2023)

Frontier: Exploring Exascale. - Scott Atchley; Christopher Zimmer 001; John Lange; David E. Bernholdt; Verónica G. Melesse Vergara; Thomas Beck; Michael J. Brim; Reuben D. Budiardja; Sunita Chandrasekaran; Markus Eisenbach 002; Thomas M. Evans 001; Matthew Ezell; et al. (SC, 2023)

Strengthening the US Department of Energy's Recruitment Pipeline: The DOE/NNSA Predictive Science Academic Alliance Program (PSAAP) Experience. - John K. Holmen; Verónica G. Vergara Larrea; Erik W. Draeger; Eric T. Phipps; Philip J. Smith; Martin Berzins; Sean T. Smith; Jeremy N. Thornock; Suzanne Parete-Koon (PEARC, 2023)

Lessons Learned and Scalability Achieved When Porting Uintah to DOE Exascale Systems. - John K. Holmen; Marta García; Allen Sanderson; Abhishek Bagusetty; Martin Berzins (Euro-Par Workshops (1), 2024)

FacultyHack Events: Faculty-Focused Hackathons for High-Performance Computing Curriculum Development. - John K. Holmen; Je'aime Powell; Alexander Nolte; Elijah A. MacCarthy; S. Charlie Dey; Verónica G. Vergara Larrea; Suzanne Parete-Koon; Linda B. Hayden (ICGJ, 2024)

An Evaluation of the Effect of Network Cost Optimization for Leadership Class Supercomputers. - Awais Khan 002; John R. Lange; Nick Hagerty; Edwin F. Posada; John K. Holmen; James B. White; James Austin Harris; Verónica Melesse Vergara; Christopher Zimmer 001; Scott Atchley (SC, 2024)

Towards Sustainable Post-Exascale Leadership Computing. - Woong Shin; James B. White; Wael R. Elwasif; Rafael Ferreira da Silva; Christopher Zimmer 001; Bronson Messer; Reuben D. Budiardja; Antigoni Georgiadou; Verónica Melesse Vergara; Jack Lange; Matthias Maiterth; Tim Osborne; et al. (SC Workshops, 2024)

Asynchronous-Many-Task Systems: Challenges and Opportunities - Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX. - Gregor Daiß; Patrick Diehl; Jiakun Yan; John K. Holmen; Rahulkumar Gayatri; Christoph Junghans; Alexander Straub; Jeff R. Hammond; Dominic Marcello; Miwako Tsuji; Dirk Pflüger; Hartmut Kaiser (CoRR, 2024)

Early experiences on the OLCF Frontier system with AthenaPK and Parthenon-Hydro. - John K. Holmen; Philipp Grete; Verónica G. Melesse Vergara (Concurr. Comput. Pract. Exp., 2024)