ARCHER, a New Monte Carlo Software Tool for Emerging Heterogeneous Computing Environments
| Autor: | Wei Ji, Lin Su, Tianyu Liu, Mark S. Shephard, Christopher D. Carothers, Deyang Gu, Mannudeep K. Kalra, Xining Du, Bob Liu, X. George Xu, Matthew J. Riblett, Forrest B. Brown |
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| Rok vydání: | 2014 |
| Předmět: |
Coprocessor
ComputingMethodologies_SIMULATIONANDMODELING business.industry Computer science Distributed computing Software tool Computation Testbed Monte Carlo method Symmetric multiprocessor system Computing systems Computational science Computer Science::Hardware Architecture CUDA Software Nuclear Energy and Engineering Computer architecture business Xeon Phi |
| Zdroj: | SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo. |
| DOI: | 10.1051/snamc/201406002 |
| Popis: | The Monte Carlo radiation transport community faces a number of challenges associated with peta- and exa-scale computing systems that rely increasingly on heterogeneous architectures involving hardware accelerators such as GPUs and Xeon Phi coprocessors. Existing Monte Carlo codes and methods must be strategically upgraded to meet emerging hardware and software needs. In this paper, we describe the development of a software, called ARCHER (Accelerated Radiation-transport Computations in Heterogeneous EnviRonments), which is designed as a versatile testbed for future Monte Carlo codes. Preliminary results from five projects in nuclear engineering and medical physics are presented. |
| Databáze: | OpenAIRE |
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