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Chinese translation for "serial algorithm"

串行算法
系列算法


Related Translations:
serial:  adj.1. 连续的;一连串的;一系列的。2.按期出版的;(小说等)连载的;连续刊行的;连续广播的。3.分期偿付的。4.【计算机】中行的;串联的。短语和例子a serial number 1. 序号;编号。 2. 【军事】军号;入伍编号。 a serial publication 陆续出版的成套出版物。 a serial story 连载小说。 serial rights
serial serial operation:  串 串操作
serial bit:  串行位位串行
serial number:  编号串联数串行数后就会出现一串数字连续号流水帐号码顺号顺序号序号, 系列号序列号邮票志号毓号
serial representation:  串行表示
serial feed:  串行馈送
serial photograph:  连续摄影系列照片
serial changer:  连续换片机
serial vessel:  成批建造船
serial register:  串接寄存器串行寄存器
Example Sentences:
1.Firstly , to improve the mpiformatdb ’ s speed , a novel parallel algorithm based on shared memory architecture is presented . by adding openmp directives , the cycled parallel structure is formed from the serial algorithm
为了提高mpiformatdb的性能,本文提出一种基于共享存储结构的并行算法,通过在原串行算法中增加openmp编译指导命令来构造循环级并行结构。
2.Through analyze the virtues and disadvantages of the serial algorithms and parallel algorithms of association rules mining , then we experiment with experiment data to evaluate the performance of the parallel algorithms based on apriori algorithm in pvm environment
通过深入分析挖掘关联规则的串行算法和并行算法的优缺点,并且在pvm环境下对基于apriori算法的并行算法进行了实现。
3.The traditional serial algorithm ca n ' t do work well for the data ocean quickly and correctly , it also important to research the parallel algorithm . this paper analysis the main parallel algorithm and models , and find there are two problema : how to use the capability of the processors and the information number of the transmission between the processors . this paper extend the twma to ptwm , and ptwma solve the problem by the method of table corresponding , and the idea that the algorithm need not to transmit the large item sets
本文通过分析当前主要的并行模型、算法,总结出它们面临的共同问题是:处理机容量的限制和处理机需要传输大量的数据,于是,本文在twma的基础上提出了ptwma ,采用了表对应技术、以及算法本身不需要反复传输大项集的策略来克服了上述两个问题。
4.Serial algorithm improves decoding performance greatly ; serial algorithm finds the better trade - off between performance and complexity , it is a good decoding algorithm with high application value . ( 5 ) introduce the background of quantized decoding and basic theory . analyse effect of quantized decoding , research the impact of limited quantized to serial decoding , and present feasible project for quantized decoding
( 5 )介绍了量化译码的背景和量化原理,分析了量化译码对译码器实现的重要作用,基于串行译码算法,以消息种类的不同分别研究了有限长量化对译码性能的影响,并提出可行的串行量化译码方案,其性能接近连续译码性能。
5.( 3 ) combined with probability statistic knowledge , introduce the basic theory of message passing algorithm ; analyse the classical decoding algorithm of ldpc codes , including sum product algorithm which based on probability and llr , and min sum algorithm . ( 4 ) research message passing process on the tree ; according spa , turn the flooding schedule to serial schedule based on c - nodes and v - nodes , namely serial algorithm and , analyse de and complexity ; simulations show that the both serial algorithms could improve decoding performance , improve convergence property , reduce complexity
( 4 )研究了和积译码算法在树上的消息传递过程;在ldpc码经典译码算法基础上,将洪水消息传递机制转换成基于校验节点的串行消息传递机制和基于变量节点的消息传递机制,分别对应串行译码算法和串行译码算法,并对密度进化和译码复杂度等方面进行分析;仿真结果表明,两种串行译码算法都使译码性能得到明显提高,改善了消息收敛特性,降低了译码复杂度。
6.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。
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