John K. Holmen

According to our database, John K. Holmen authored at least 12 papers between 2010 and 2023.

Collaborative distances:

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

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

Proceedings of the Practice and Experience in Advanced Research Computing, 2023

Frontier: Exploring Exascale.

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

Proceedings of the International Conference for High Performance Computing, 2023

2022

Portable, Scalable Approaches for Improving Asynchronous Many-Task Runtime Node Use.

John K. Holmen

PhD thesis, 2022

Porting uintah to heterogeneous systems.

John K. Holmen, Damodar Sahasrabudhe, Martin Berzins

Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022

2021

A Heterogeneous MPI+PPL Task Scheduling Approach for Asynchronous Many-Task Runtime Systems.

John K. Holmen, Damodar Sahasrabudhe, Martin Berzins

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

2019

An Approach for Indirectly Adopting a Performance Portability Layer in Large Legacy Codes.

John K. Holmen, Brad Peterson, Martin Berzins

Proceedings of the 2019 IEEE/ACM International Workshop on Performance, 2019

2018

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

2017

Improving Uintah's Scalability Through the Use of Portable Kokkos-Based Data Parallel Tasks.

John K. Holmen, Alan Humphrey, Daniel Sunderland, Martin Berzins

Proceedings of the Practice and Experience in Advanced Research Computing 2017: Sustainability, 2017

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

Accelerating Single Iteration Performance of CUDA-Based 3D Reaction-Diffusion Simulations.

John K. Holmen, David L. Foster

Int. J. Parallel Program., 2014

2010

Improving Vehicular Window Control with Haptic and Visual Feedback.

David Racine, John K. Holmen, Mehrdad Hosseini Zadeh, Mark Thompson

Proceedings of the Haptics: Generating and Perceiving Tangible Sensations, 2010

Effects of varying haptic feedback on driver distraction during vehicular window adjustment.

John K. Holmen, Mehrdad Hosseini Zadeh

Proceedings of 2nd International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2010