John R. Tramm

According to our database, John R. Tramm authored at least 16 papers between 2013 and 2024.

Collaborative distances:

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

2024

Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware.

John R. Tramm, Bryce Allen, Kazutomo Yoshii, Andrew R. Siegel, Leighton Wilson

Comput. Phys. Commun., 2024

Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs.

John R. Tramm, Paul K. Romano, Patrick C. Shriwise, Amanda Lund, Johannes Doerfert, Patrick Steinbrecher, Andrew R. Siegel, Gavin Ridley

CoRR, 2024

Integrating ytopt and libEnsemble to Autotune OpenMC.

Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall

CoRR, 2024

2023

Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area.

Kazutomo Yoshii, John R. Tramm, Bryce Allen, Tomohiro Ueno, Kentaro Sano, Andrew R. Siegel, Pete Beckman

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Just-in-Time Compilation and Link-Time Optimization for OpenMP Target Offloading.

Shilei Tian, Joseph Huber, John R. Tramm, Barbara M. Chapman, Johannes Doerfert

Proceedings of the OpenMP in a Modern World: From Multi-device Support to Meta Programming, 2022

2021

Immortal rays: Rethinking random ray neutron transport on GPU architectures.

John R. Tramm, Andrew R. Siegel

Parallel Comput., 2021

Evaluation of Performance Portability of Applications and Mini-Apps across AMD, Intel and NVIDIA GPUs.

JaeHyuk Kwack, John R. Tramm, Colleen Bertoni, Yasaman Ghadar, Brian Homerding, Esteban Rangel, Christopher Knight, Scott Parker

Proceedings of the International Workshop on Performance, 2021

2020

Evaluating the Performance of the hipSYCL Toolchain for HPC Kernels on NVIDIA V100 GPUs.

Brian Homerding, John R. Tramm

Proceedings of the IWOCL '20: International Workshop on OpenCL, 2020

2019

Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system.

Kazutomo Yoshii, John R. Tramm, Andrew R. Siegel, Peter H. Beckman

CoRR, 2019

2017

The Random Ray Method for neutral particle transport.

John R. Tramm, Kord Smith, Benoit Forget, Andrew R. Siegel

J. Comput. Phys., 2017

2016

Application power profiling on IBM Blue Gene/Q.

Sean Wallace, Zhou Zhou, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka

Parallel Comput., 2016

A task-based parallelism and vectorized approach to 3D Method of Characteristics (MOC) reactor simulation for high performance computing architectures.

John R. Tramm, Geoffrey Gunow, Tim He, Kord Smith, Benoit Forget, Andrew R. Siegel

Comput. Phys. Commun., 2016

2015

Data decomposition in Monte Carlo neutron transport simulations using global view arrays.

Nan Dun, Hajime Fujita, John R. Tramm, Andrew A. Chien, Andrew R. Siegel

Int. J. High Perform. Comput. Appl., 2015

2014

Power profiling of a reduced data movement algorithm for neutron cross section data in Monte Carlo simulations.

John R. Tramm, Kazutomo Yoshii, Andrew R. Siegel

Proceedings of the 1st International Workshop on Hardware-Software Co-Design for High Performance Computing, 2014

Performance Analysis of a Reduced Data Movement Algorithm for Neutron Cross Section Data in Monte Carlo Simulations.

John R. Tramm, Andrew R. Siegel, Benoit Forget, Colin Josey

Proceedings of the Solving Software Challenges for Exascale, 2014

2013

Application power profiling on IBM Blue Gene/Q.

Sean Wallace, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka

Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013