串行算法 meaning in English
serial algorithm
Examples
- The discussion of main parallel technologies on construction of parallel sliq algorithm is presented in this paper . the computing result of algorithm complexity of sequential and parallel algorithm indicates : when the data set is large enough , as to continuous attributes , the parallel algorithm almost get speedup value equal to the number of processors ， while as to categorical attribute the improvement of parallel algorithm is limited
通过对串行和并行算法时间复杂度的计算表明，当数据集充分大时，由于连续属性的排序计算操作分散到各个处理机单元上进行，显著降低了计算时间，从而可以得到近似于处理机个数的加速比，对于离散属性，本并行算法对串行算法的性能提高有限 - ( 5 ) we parallelize a real large cfd application lm3d and another application of explosion in a box by employing many useful techniques , for example , the divide - conquer method and the new mapping scheme mentioned above . these two parallel programs both achieve satisfactory performance
( 5 )针对三维低马赫数流动和爆炸冲击波模拟两个科学计算问题,将串行算法的改进与优化、区域与迭代空间分解、数据映射等技术相结合,实现了它们的高效并行程序,使性能得到显著提高。 - The algorithm of upgrading of general face recognition system is based on all serial algorithm in a single computer , it is very slow to deal with a large amount of data , and the efficiency is low . so , this article introduces the application of grid computing in face recognition system , upgrades the original serial algorithm of face data into parallel algorithm in the grid platform by using mpi parallel program , realizes the already existing updated algorithm of the recognition of face to be processed in the distributed computers , which has strengthened the systematic ability to deal with a large amount of data , in order to improve systematic performance
常规人脸识别系统中的更新算法都是基于单机的串行算法，在处理大量数据的时候速度慢，效率低，介绍了网格计算在人脸识别系统中的应用，把原来的人脸数据更新串行算法改为并行算法并通过编写mpi并行程序移植到该网格计算平台中运行，实现了原有人脸识别系统中更新算法的分布式处理，增强了系统处理大量数据的能力，以达到提高系统性能的目的。