Block time step storage scheme forastrophysical n-body simulations
Author
dc.contributor.author
Cai, Maxwell Xu
Author
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Meiron, Yohai
Author
dc.contributor.author
Kouwenhoven, M. B. N.
Author
dc.contributor.author
Assmann, Paulina
Author
dc.contributor.author
Spurzem, Rainer
Admission date
dc.date.accessioned
2015-12-12T03:29:50Z
Available date
dc.date.available
2015-12-12T03:29:50Z
Publication date
dc.date.issued
2015
Cita de ítem
dc.identifier.citation
The Astrophysical Journal Supplement Series, 219:31 (12pp), 2015 August
en_US
Identifier
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DOI: 10.1088/0067-0049/219/2/31
Identifier
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https://repositorio.uchile.cl/handle/2250/135651
General note
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Artículo de publicación ISI
en_US
Abstract
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Astrophysical research in recent decades has made significant progress thanks to the availability of various N-body simulation techniques. With the rapid development of high-performance computing technologies, modern simulations have been able to use the computing power of massively parallel clusters with more than 105 GPU cores. While unprecedented accuracy and dynamical scales have been achieved, the enormous amount of data being generated continuously poses great challenges for the subsequent procedures of data analysis and archiving. In this paper, we propose an adaptive storage scheme for simulation data, inspired by the block time step (BTS) integration scheme found in a number of direct N-body integrators available nowadays, as an urgent response to these challenges. The proposed scheme, namely, the BTS storage scheme, works by minimizing the data redundancy by assigning individual output frequencies to the data as required by the researcher. As demonstrated by benchmarks, the proposed scheme is applicable to a wide variety of simulations. Despite the main focus of developing a solution for direct N-body simulation data, the methodology is transferable for grid-based or tree-based simulations where hierarchical time stepping is used.
en_US
Patrocinador
dc.description.sponsorship
NAOC CAS through the Silk Road Project
Chinese Academy of Sciences
2009S1 - 5
Ministry of Finance of People's Republic of China
ZDYZ2008 - 2
German Research Foundation (DFG)
Sonderforschungsbereich SFB 881
Peter and Patricia Gruber Foundation through the PPGF fellowship
Peking University One Hundred Talent Fund
National Natural Science Foundation of China
11010237
11050110414
11173004
John Templeton Foundation
National Astronomical Observatories of Chinese Academy of Sciences
FONDECYT
3130623
Chinese Academy of Sciences President's International Fellowship Initiative
2014FFJB0018