Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8068527 | Annals of Nuclear Energy | 2015 | 8 Pages |
Abstract
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.
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Authors
X. George Xu, Tianyu Liu, Lin Su, Xining Du, Matthew Riblett, Wei Ji, Deyang Gu, Christopher D. Carothers, Mark S. Shephard, Forrest B. Brown, Mannudeep K. Kalra, Bob Liu,