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MrBayes(MC)~3GPU算法的优化
引用本文:暴洁,夏宏举,周剑夫,王刚,刘晓光.MrBayes(MC)~3GPU算法的优化[J].武汉大学学报(理学版),2012,58(2):157-164.
作者姓名:暴洁  夏宏举  周剑夫  王刚  刘晓光
作者单位:南开大学信息技术科学学院,天津,300071
基金项目:国家自然科学基金(60903028;61070014)资助项目;天津市科技支撑计划重点项目
摘    要:为了进一步提高CPU-GPU协同贝叶斯种系发生算法n(MC)3的并发度,本文在n(MC)3算法基础上提出了优化算法,修改算法并行策略,重组计算次序,削弱相邻计算节点之间的依赖关系,增强GPU空闲单元的利用,实现了更高的加速比,显著提高了算法性能.

关 键 词:种系发生  贝叶斯  CUDA    并发度

An Optimization of MrBayes (MC)3 on GPU
BAO Jie,XIA Hongju,ZHOU Jianfu,WANG Gang,LIU Xiaoguang.An Optimization of MrBayes (MC)3 on GPU[J].JOurnal of Wuhan University:Natural Science Edition,2012,58(2):157-164.
Authors:BAO Jie  XIA Hongju  ZHOU Jianfu  WANG Gang  LIU Xiaoguang
Institution:(College of Information Techincal Science,Nankai University,Tianjin 300071,China)
Abstract:MrBayes is a phylogenetic analysis program,which now is extensively used in phylogenetics.Considering the high parallelism of GPU(graphic process units),Jianfu Zhou and others from Nankai University put forward a changed CPU-GPU collaborative algorithm of MrBayes,and have achieved wonderful result.In this thesis,we put forward an optimization algorithm of MrBayes on the basis of CPU-GPU collaborative algorithm above.By changing the algorithm and reorganizing the order of calculation,we improved speedup ratio and achieved better performance indeed.
Keywords:phylogenetics  Bayes  CUDA  stream  parallization
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