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John R. Tramm
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2020 – today
- 2024
- [j6]John R. Tramm, Bryce Allen, Kazutomo Yoshii, Andrew R. Siegel, Leighton Wilson:
Efficient algorithms for Monte Carlo particle transport on AI accelerator hardware. Comput. Phys. Commun. 298: 109072 (2024) - [i4]Xingfu Wu, John R. Tramm, Jeffrey Larson, John-Luke Navarro, Prasanna Balaprakash, Brice Videau, Michael Kruse, Paul D. Hovland, Valerie Taylor, Mary W. Hall:
Integrating ytopt and libEnsemble to Autotune OpenMC. CoRR abs/2402.09222 (2024) - [i3]John R. Tramm, Paul K. Romano, Patrick C. Shriwise, Amanda Lund, Johannes Doerfert, Patrick Steinbrecher, Andrew R. Siegel, Gavin Ridley:
Performance Portable Monte Carlo Particle Transport on Intel, NVIDIA, and AMD GPUs. CoRR abs/2403.12345 (2024) - 2023
- [c7]Kazutomo Yoshii, John R. Tramm, Bryce Allen, Tomohiro Ueno, Kentaro Sano, Andrew R. Siegel, Pete Beckman:
Hardware Specialization: Estimating Monte Carlo Cross-Section Lookup Kernel Performance and Area. SC Workshops 2023: 1274-1278 - [i2]John R. Tramm, Bryce Allen, Kazutomo Yoshii, Andrew R. Siegel, Leighton Wilson:
Efficient Algorithms for Monte Carlo Particle Transport on AI Accelerator Hardware. CoRR abs/2311.01739 (2023) - 2022
- [c6]Shilei Tian, Joseph Huber, John R. Tramm, Barbara M. Chapman, Johannes Doerfert:
Just-in-Time Compilation and Link-Time Optimization for OpenMP Target Offloading. IWOMP 2022: 145-158 - 2021
- [j5]John R. Tramm, Andrew R. Siegel:
Immortal rays: Rethinking random ray neutron transport on GPU architectures. Parallel Comput. 108: 102832 (2021) - [c5]JaeHyuk Kwack, John R. Tramm, Colleen Bertoni, Yasaman Ghadar, Brian Homerding, Esteban Rangel, Christopher Knight, Scott Parker:
Evaluation of Performance Portability of Applications and Mini-Apps across AMD, Intel and NVIDIA GPUs. P3HPC@SC 2021: 45-56 - 2020
- [c4]Brian Homerding, John R. Tramm:
Evaluating the Performance of the hipSYCL Toolchain for HPC Kernels on NVIDIA V100 GPUs. IWOCL 2020: 16:1-16:7
2010 – 2019
- 2019
- [i1]Kazutomo Yoshii, John R. Tramm, Andrew R. Siegel, Peter H. Beckman:
Improving the scalabiliy of neutron cross-section lookup codes on multicore NUMA system. CoRR abs/1909.03632 (2019) - 2017
- [j4]John R. Tramm, Kord Smith, Benoit Forget, Andrew R. Siegel:
The Random Ray Method for neutral particle transport. J. Comput. Phys. 342: 229-252 (2017) - 2016
- [j3]John R. Tramm, Geoffrey Gunow, Tim He, Kord Smith, Benoit Forget, Andrew R. Siegel:
A task-based parallelism and vectorized approach to 3D Method of Characteristics (MOC) reactor simulation for high performance computing architectures. Comput. Phys. Commun. 202: 141-150 (2016) - [j2]Sean Wallace, Zhou Zhou, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka:
Application power profiling on IBM Blue Gene/Q. Parallel Comput. 57: 73-86 (2016) - 2015
- [j1]Nan Dun, Hajime Fujita, John R. Tramm, Andrew A. Chien, Andrew R. Siegel:
Data decomposition in Monte Carlo neutron transport simulations using global view arrays. Int. J. High Perform. Comput. Appl. 29(3): 348-365 (2015) - 2014
- [c3]John R. Tramm, Andrew R. Siegel, Benoit Forget, Colin Josey:
Performance Analysis of a Reduced Data Movement Algorithm for Neutron Cross Section Data in Monte Carlo Simulations. EASC 2014: 39-56 - [c2]John R. Tramm, Kazutomo Yoshii, Andrew R. Siegel:
Power profiling of a reduced data movement algorithm for neutron cross section data in Monte Carlo simulations. Co-HPC@SC 2014: 17-24 - 2013
- [c1]Sean Wallace, Venkatram Vishwanath, Susan Coghlan, John R. Tramm, Zhiling Lan, Michael E. Papka:
Application power profiling on IBM Blue Gene/Q. CLUSTER 2013: 1-8
Coauthor Index
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