Research of three-dimensional dendritic growth using phase-field method based on GPU
Research of three-dimensional dendritic growth using phase-field method based on GPU
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基于GPU的相场法三维枝晶生长研究
DOI：
10.1016/j.commatsci.2014.04.050
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发表时间：
2014-08
影响因子：
3.3
通讯作者：
Xiao Rongzhen
中科院分区：
文献类型：
--
作者：
Zhu Changsheng;Jia Jinfang;Feng Li;Xiao Rongzhen
相场模型的界面厚度限制了其模拟规模。为了缩短计算时间，三维枝晶生长模拟往往采用比常规铸造工艺条件下更大的过冷度，而许多定性模拟主要针对纯物质或二元合金的单枝晶和多枝晶形貌。相场法在单CPU计算上存在计算效率低、模拟规模小、定性研究受限等问题。为了更有效地模拟实际铸件凝固过程中的微观组织演变过程，探索了一种基于CUDA + GPU架构的高性能计算方法，通过多线程并发执行实现更大规模的计算，提高计算效率。在单GPU上对纯SCN的三维枝晶生长进行了定量模拟，并比较了相同条件下单GPU和单CPU的计算效率。仿真结果表明，当网格尺寸为5123时，该算法在GPU上的加速比达到98.52，计算效率得到了很大的提高。同时，在GPU上计算的枝晶尖端速度和尖端半径与微观可解性理论和文献模拟结果一致，验证了GPU并行算法的有效性。
The interface thickness of phase-field model limits its simulation scale. In order to shorten the computation time, the large undercooling degree higher than that under the conventional casting process condition is often employed in the three-dimensional dendritic growth simulation, and many qualitative simulations are mainly aimed at a single dendrite and multi-dendrites morphologies for pure substances or binary alloys. The problems of low computational efficiency, small-scale simulation and limited to qualitative research exist on a single CPU computation using phase-field method. To simulate microstructure evolution process during actual casting solidification more effectively, a high performance computing method based on CUDA + GPU architecture is explored in this paper, and larger-scale computation is implemented by the concurrent execution of multiple threads to improve computational efficiency. The three-dimensional dendritic growth of pure SCN is quantitatively simulated on a single GPU, and the computational efficiency based on a single GPU and a single CPU is also compared under the same condition. The simulation results show that a speedup of 98.52 is achieved when the grid size is 5123on the GPU, with computational efficiency being greatly improved. Meanwhile, the calculated values of the dendritic tip velocities and the tip radius on the GPU are identical with the values of the microscopic solvability theory and the references’ simulation results, which validates the GPU parallel algorithm.
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影响因子：
3
作者：
P. Micikevicius
通讯作者：
P. Micikevicius
影响因子：
--
作者：
Lianguang Hu
通讯作者：
Lianguang Hu
DOI：
10.1016/s1003-6326(11)60905-9
发表时间：
2011-07
影响因子：
4.5
作者：
Jun-wei Wang;Changsheng Zhu;Zhi-ping Wang;Li Feng;Rong-zhen Xiao
通讯作者：
Jun-wei Wang;Changsheng Zhu;Zhi-ping Wang;Li Feng;Rong-zhen Xiao
DOI：
10.1103/physreve.61.r49
发表时间：
2000
期刊：
Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
影响因子：
--
作者：
X. Tong;C. Beckermann;Alain Karma
通讯作者：
X. Tong;C. Beckermann;Alain Karma
影响因子：
4.2
作者：
Zhu Chang-sheng;Feng Li
通讯作者：
Zhu Chang-sheng;Feng Li