期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 436, 期 1, 页码 540-559出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stt1591
关键词
Dark matter; large-scale structure of Universe
资金
- Southeast Physics Network (SEPNet)
- Science and Technology Facilities Council [ST/F002858/1, ST/I000976/1]
- Canada Foundation for Innovation under Compute Canada
- Government of Ontario
- Ontario Research Fund - Research Excellence
- University of Toronto
- Partnership for Advanced Computing in Europe (PRACE) grant [2010PA0442]
- NSERC of Canada
- Swiss National Science Foundation
- Science and Technology Facilities Council [ST/F002858/1, ST/I000976/1] Funding Source: researchfish
- STFC [ST/F002858/1, ST/I000976/1] Funding Source: UKRI
This paper presents (CUBEPM)-M-3, a publicly available high-performance cosmological N-body code and describes many utilities and extensions that have been added to the standard package. These include a memory-light runtime spherical overdensity halo finder, a non-Gaussian initial conditions generator and a system of unique particle identification. (CUBEPM)-M-3 is fast, its accuracy is tuneable to optimize speed or memory and has been run on more than 27 000 cores, achieving within a factor of 2 of ideal weak scaling even at this problem size. The code can be run in an extra-lean mode where the peak memory imprint for large runs is as low as 37 bytes per particles, which is almost two times leaner than other widely used N-body codes. However, load imbalances can increase this requirement by a factor of 2, such that fast configurations with all the utilities enabled and load imbalances factored in require between 70 and 120 bytes per particles. (CUBEPM)-M-3 is well designed to study large-scale cosmological systems, where imbalances are not too large and adaptive time-stepping not essential. It has already been used for a broad number of science applications that require either large samples of non-linear realizations or very large darkmatter N-body simulations, including cosmological reionization, halo formation, baryonic acoustic oscillations, weak lensing or non-Gaussian statistics. We discuss the structure, the accuracy, known systematic effects and the scaling performance of the code and its utilities, when applicable.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据