John K. Holmen

22 papers A 2Journal 7Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asynchronous-many-task systems: Challenges and opportunities - Scaling an AMR astrophysics code on exascale machines using Kokkos and HPX. Int. J. High Perform. Comput. Appl. 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
2026	J	`jnl`	Oak Ridge Computing Academy: An HPC cluster deployment and management pilot. Future Gener. Comput. Syst. Edwin F. Posada, John K. Holmen, Asa Rentschler
2025	—	`conf`	SYCL for Performance Portability: Application Experience with Coupled Cluster Formalism in Quantum Chemistry on Exascale Systems. HPEC Abhishek Bagusetty, Ajay Panyala, Álvaro Vázquez-Mayagoitia, John K. Holmen, Kevin Harms
2024	A	`conf`	An Evaluation of the Effect of Network Cost Optimization for Leadership Class Supercomputers. SC Awais Khan, John R. Lange, Nick Hagerty, Edwin F. Posada, John K. Holmen, James B. White, James Austin Harris, Verónica Melesse Vergara, Christopher Zimmer, Scott Atchley
2024	J	`jnl`	Asynchronous-Many-Task Systems: Challenges and Opportunities - Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX. CoRR 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
2024	J	`jnl`	Early experiences on the OLCF Frontier system with AthenaPK and Parthenon-Hydro. Concurr. Comput. Pract. Exp. John K. Holmen, Philipp Grete, Verónica G. Melesse Vergara
2024	—	`conf`	FacultyHack Events: Faculty-Focused Hackathons for High-Performance Computing Curriculum Development. ICGJ John K. Holmen, Je'aime H. Powell, Alexander Nolte, Elijah A. MacCarthy, S. Charlie Dey, Verónica G. Vergara Larrea, Suzanne Parete-Koon, Linda B. Hayden
2024	—	`conf`	Lessons Learned and Scalability Achieved When Porting Uintah to DOE Exascale Systems. Euro-Par Workshops (1) John K. Holmen, Marta García, Allen Sanderson, Abhishek Bagusetty, Martin Berzins
2024	—	`conf`	Towards Sustainable Post-Exascale Leadership Computing. SC Workshops Woong Shin, James B. White, Wael R. Elwasif, Rafael Ferreira da Silva, Christopher Zimmer, Bronson Messer, Reuben D. Budiardja, Antigoni Georgiadou, Verónica Melesse Vergara, Jack Lange, Matthias Maiterth, Tim Osborne, Leah Huk, John K. Holmen, Nick Hagerty, Ahmad Maroof Karimi, Thomas J. Naughton, Ryan Adamson, Ryan Prout, Feiyi Wang, Scott Atchley, Kevin G. Thach, Thomas Beck, Sarp Oral
2023	A	`conf`	Frontier: Exploring Exascale. SC Scott Atchley, Christopher Zimmer, John Lange, David E. Bernholdt, Verónica G. Melesse Vergara, Thomas Beck, Michael J. Brim, Reuben D. Budiardja, Sunita Chandrasekaran, Markus Eisenbach, Thomas M. Evans, Matthew Ezell, Nicholas Frontiere, Antigoni Georgiadou, Joe Glenski, Philipp Grete, Steven P. Hamilton, John K. Holmen, Axel Huebl, Daniel A. Jacobson, Wayne Joubert, Kim H. McMahon, Elia Merzari, Stan G. Moore, Andrew Myers, Stephen Nichols, Sarp Oral, Thomas Papatheodore, Danny Perez, David M. Rogers, Evan Schneider, Jean-Luc Vay, P. K. Yeung
2023	—	`conf`	Making Uintah Performance Portable for Department of Energy Exascale Testbeds. Euro-Par Workshops John K. Holmen, Marta García, Abhishek Bagusetty, Allen Sanderson, Martin Berzins
2023	—	`conf`	Strengthening the US Department of Energy's Recruitment Pipeline: The DOE/NNSA Predictive Science Academic Alliance Program (PSAAP) Experience. PEARC 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
2022	—	`—`	Portable, Scalable Approaches for Improving Asynchronous Many-Task Runtime Node Use. John K. Holmen
2022	—	`conf`	Porting uintah to heterogeneous systems. PASC John K. Holmen, Damodar Sahasrabudhe, Martin Berzins
2021	—	`conf`	A Heterogeneous MPI+PPL Task Scheduling Approach for Asynchronous Many-Task Runtime Systems. PEARC John K. Holmen, Damodar Sahasrabudhe, Martin Berzins
2019	—	`conf`	An Approach for Indirectly Adopting a Performance Portability Layer in Large Legacy Codes. P3HPC@SC John K. Holmen, Brad Peterson, Martin Berzins
2018	J	`jnl`	Demonstrating GPU code portability and scalability for radiative heat transfer computations. J. Comput. Sci. Brad Peterson, Alan Humphrey, John K. Holmen, Todd Harman, Martin Berzins, Daniel Sunderland, H. Carter Edwards
2017	—	`conf`	Improving Uintah's Scalability Through the Use of Portable Kokkos-Based Data Parallel Tasks. PEARC John K. Holmen, Alan Humphrey, Daniel Sunderland, Martin Berzins
2014	J	`jnl`	Accelerating Single Iteration Performance of CUDA-Based 3D Reaction-Diffusion Simulations. Int. J. Parallel Program. John K. Holmen, David L. Foster
2014	J	`jnl`	Erratum to: Accelerating Single Iteration Performance of CUDA-Based 3D Reaction-Diffusion Simulations. Int. J. Parallel Program. John K. Holmen, David L. Foster
2010	—	`conf`	Effects of varying haptic feedback on driver distraction during vehicular window adjustment. AutomotiveUI John K. Holmen, Mehrdad Hosseini Zadeh
2010	—	`conf`	Improving Vehicular Window Control with Haptic and Visual Feedback. EuroHaptics (1) David Racine, John K. Holmen, Mehrdad Hosseini Zadeh, Mark Thompson