计算力学学报2017，Vol.34Issue(4)：511-516,6.DOI:10.7511/jslx201704018
基于FTM算法的GPU加速
FTM algorithm based on GPU acceleration
摘要
Abstract
In order to solve the problem of low computational effective of the FTM algorithm,this paper used CUDA to realize the parallel implementation of the FTM algorithm in GPU.Combining with the GPU parallel computing architecture and the characteristics of the FTM algorithm,and through introducing shared memory and bringing thread partition and thread block shared memory boundary elements into use,we proposed a method to implement the grid implementation of the FTM algorithm and a way of processing interface marked point in the GPU.At last,the feasibility and efficiency of FTM in GPU were verified by simulating the free ascending motion of single bubbles in a stationary liquid.关键词
FTM/CUDA/GPU/并行计算/计算流体动力学/数值模拟Key words
FTM/CUDA/GPU/parallel computing/computational fluid dynamics/numerical simulation分类
数理科学引用本文复制引用
曾良,杜煜昊,张莹,胡昱,洪瑶,陈虎..基于FTM算法的GPU加速[J].计算力学学报,2017,34(4):511-516,6.基金项目
国家自然科学基金(11562011) （11562011）
江西省自然科学基金(20151BAB202002)资助项目. （20151BAB202002）
