Performance analysis of parallel algorithms in physics simulation for molecular dynamics simulation liquid metals solidification processes

2015 ◽  
Vol 110 ◽  
pp. 19-26 ◽  
Author(s):  
Kenli Li ◽  
Dapu Li ◽  
Jie Liang ◽  
Yu Ye ◽  
Yingqiang Liao ◽  
...  
CrystEngComm ◽  
2018 ◽  
Vol 20 (25) ◽  
pp. 3569-3580 ◽  
Author(s):  
Xiaoxiao Sui ◽  
Yongjian Cheng ◽  
Naigen Zhou ◽  
Binbing Tang ◽  
Lang Zhou

Based on the Stillinger–Weber potential, molecular dynamics simulations of the solidification processes of multicrystalline silicon were carried out.


2013 ◽  
Vol 22 (8) ◽  
pp. 083101 ◽  
Author(s):  
Yuan-Yuan Ju ◽  
Qing-Ming Zhang ◽  
Zi-Zheng Gong ◽  
Guang-Fu Ji

1995 ◽  
Vol 4 (3) ◽  
pp. 185-192 ◽  
Author(s):  
Eli Glikman ◽  
Ludmila Ioffe ◽  
Itzhak Kelson ◽  
Shlomit S. Pinter

We present new parallel algorithms for solving the problem of many body interactions in molecular dynamics (MD). Such algorithms are essential in the simulation of irradiation effects in crystals, where the high energy of the impinging particles dictates computing with large numbers of atoms and for many time cycles. We realized the algorithms using two parallelization methods and compared their performance. Experimental results obtained on a Meiko machine demonstrate that the new algorithms exploit parallelism effectively and can be used to simulate large crystals.


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