NDLI: ARCHER, a New Monte Carlo Software Tool for Emerging Heterogeneous Computing Environments

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ARCHER, a New Monte Carlo Software Tool for Emerging Heterogeneous Computing Environments

Content Provider	EDP Sciences
Author	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
Description	Published in: SNA + MC 2013 - Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo
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. 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.
Page Count	11
File Format	HTM / HTML PDF
ISBN	9782759812691
Alternate Webpage(s)	https://sna-and-mc-2013-proceedings.edpsciences.org/articles/snamc/abs/2014/01/snamc2013_06002/snamc2013_06002.html
DOI	10.1051/snamc/201406002
Language	English
Publisher	EDP Sciences
Publisher Date	2014-01-01
Access Restriction	Subscribed
Rights Holder	© Owned by the authors, published by EDP Sciences, 2014
Subject Keyword	Monte Carlo parallel computing GPU CUDA Intel Xeon Phi coprocessor CT radiation dose Monte Carlo / parallel computing / GPU / CUDA / Intel Xeon Phi coprocessor / CT / radiation dose
Content Type	Text
Resource Type	Article

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