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High Lundquist Number Simulations of...

Lin, LiWei.

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High Lundquist Number Simulations of Parker's Model of Coronal Heating: Scaling and Current Sheet Statistics Using Heterogeneous Computing Architectures.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	High Lundquist Number Simulations of Parker's Model of Coronal Heating: Scaling and Current Sheet Statistics Using Heterogeneous Computing Architectures./
Author:	Lin, LiWei.
Description:	73 p.
Notes:	Source: Dissertation Abstracts International, Volume: 73-06, Section: B, page: 3661.
Contained By:	Dissertation Abstracts International73-06B.
Subject:	Physics, Astrophysics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3500789
ISBN:	9781267220981

High Lundquist Number Simulations of Parker's Model of Coronal Heating: Scaling and Current Sheet Statistics Using Heterogeneous Computing Architectures.
Lin, LiWei.

High Lundquist Number Simulations of Parker's Model of Coronal Heating: Scaling and Current Sheet Statistics Using Heterogeneous Computing Architectures. - 73 p.

Source: Dissertation Abstracts International, Volume: 73-06, Section: B, page: 3661.

Thesis (Ph.D.)--University of New Hampshire, 2011.

Parker's model [Parker, Astrophys. J., 174, 499 (1972)] is one of the most discussed mechanisms for coronal heating and has generated much debate. We have recently obtained new scaling results for a 2D version of this problem suggesting that the heating rate becomes independent of resistivity in a statistical steady state [Ng and Bhattacharjee, Astrophys. J., 675, 899 (2008)]. Our numerical work has now been extended to 3D using high resolution MHD numerical simulations. Random photospheric footpoint motion is applied for a time much longer than the correlation time of the motion to obtain converged average coronal heating rates. Simulations are done for different values of the Lundquist number to determine scaling. In the high-Lundquist number limit (S > 1000), the coronal heating rate obtained is consistent with a trend that is independent of the Lundquist number, as predicted by previous analysis and 2D simulations. We will present scaling analysis showing that when the dissipation time is comparable or larger than the correlation time of the random footpoint motion, the heating rate tends to become independent of Lundquist number, and that the magnetic energy production is also reduced significantly. We also present a comprehensive reprogramming of our simulation code to run on NVidia graphics processing units using the Compute Unified Device Architecture (CUDA) and report code performance on several large scale heterogenous machines.

ISBN: 9781267220981Subjects--Topical Terms:

1671120
Physics, Astrophysics.

High Lundquist Number Simulations of Parker's Model of Coronal Heating: Scaling and Current Sheet Statistics Using Heterogeneous Computing Architectures.
LDR:02429nam a2200277 4500 001 1965361
005 20141022133321.5
008 150210s2011 ||||||||||||||||| ||eng d
020 $a 9781267220981
035 $a (MiAaPQ)AAI3500789
035 $a AAI3500789
040 $a MiAaPQ $c MiAaPQ
100 1 $a Lin, LiWei. $3 2102006
245 1 0 $a High Lundquist Number Simulations of Parker's Model of Coronal Heating: Scaling and Current Sheet Statistics Using Heterogeneous Computing Architectures.
300 $a 73 p.
500 $a Source: Dissertation Abstracts International, Volume: 73-06, Section: B, page: 3661.
500 $a Adviser: Amitava Bhattacharjee.
502 $a Thesis (Ph.D.)--University of New Hampshire, 2011.
520 $a Parker's model [Parker, Astrophys. J., 174, 499 (1972)] is one of the most discussed mechanisms for coronal heating and has generated much debate. We have recently obtained new scaling results for a 2D version of this problem suggesting that the heating rate becomes independent of resistivity in a statistical steady state [Ng and Bhattacharjee, Astrophys. J., 675, 899 (2008)]. Our numerical work has now been extended to 3D using high resolution MHD numerical simulations. Random photospheric footpoint motion is applied for a time much longer than the correlation time of the motion to obtain converged average coronal heating rates. Simulations are done for different values of the Lundquist number to determine scaling. In the high-Lundquist number limit (S > 1000), the coronal heating rate obtained is consistent with a trend that is independent of the Lundquist number, as predicted by previous analysis and 2D simulations. We will present scaling analysis showing that when the dissipation time is comparable or larger than the correlation time of the random footpoint motion, the heating rate tends to become independent of Lundquist number, and that the magnetic energy production is also reduced significantly. We also present a comprehensive reprogramming of our simulation code to run on NVidia graphics processing units using the Compute Unified Device Architecture (CUDA) and report code performance on several large scale heterogenous machines.
590 $a School code: 0141.
650 4 $a Physics, Astrophysics. $3 1671120
650 4 $a Physics, Fluid and Plasma. $3 1018402
690 $a 0596
690 $a 0759
710 2 $a University of New Hampshire. $3 1017788
773 0 $t Dissertation Abstracts International $g 73-06B.
790 $a 0141
791 $a Ph.D.
792 $a 2011
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3500789