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serial algorithm in Chinese

Pronunciation:
How to pronounce "serial algorithm""serial algorithm" in a sentence

Translationmobile phoneMobile

  • 串行算法
  • 系列算法

Examples

  • 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
    為了提高mpiformatdb的性能,本文提出一種基于共享存儲(chǔ)結(jié)構(gòu)的并行算法,通過(guò)在原串行算法中增加openmp編譯指導(dǎo)命令來(lái)構(gòu)造循環(huán)級(jí)并行結(jié)構(gòu)。
  • 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
    通過(guò)深入分析挖掘關(guān)聯(lián)規(guī)則的串行算法和并行算法的優(yōu)缺點(diǎn)，并且在pvm環(huán)境下對(duì)基于apriori算法的并行算法進(jìn)行了實(shí)現(xiàn)。
  • 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
    本文通過(guò)分析當(dāng)前主要的并行模型、算法，總結(jié)出它們面臨的共同問(wèn)題是：處理機(jī)容量的限制和處理機(jī)需要傳輸大量的數(shù)據(jù)，于是，本文在twma的基礎(chǔ)上提出了ptwma ，采用了表對(duì)應(yīng)技術(shù)、以及算法本身不需要反復(fù)傳輸大項(xiàng)集的策略來(lái)克服了上述兩個(gè)問(wèn)題。
  • 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 )介紹了量化譯碼的背景和量化原理,分析了量化譯碼對(duì)譯碼器實(shí)現(xiàn)的重要作用,基于串行譯碼算法,以消息種類(lèi)的不同分別研究了有限長(zhǎng)量化對(duì)譯碼性能的影響,并提出可行的串行量化譯碼方案,其性能接近連續(xù)譯碼性能。
  • ( 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 )研究了和積譯碼算法在樹(shù)上的消息傳遞過(guò)程;在ldpc碼經(jīng)典譯碼算法基礎(chǔ)上,將洪水消息傳遞機(jī)制轉(zhuǎn)換成基于校驗(yàn)節(jié)點(diǎn)的串行消息傳遞機(jī)制和基于變量節(jié)點(diǎn)的消息傳遞機(jī)制,分別對(duì)應(yīng)串行譯碼算法和串行譯碼算法,并對(duì)密度進(jìn)化和譯碼復(fù)雜度等方面進(jìn)行分析;仿真結(jié)果表明,兩種串行譯碼算法都使譯碼性能得到明顯提高,改善了消息收斂特性,降低了譯碼復(fù)雜度。
  • 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
    常規(guī)人臉識(shí)別系統(tǒng)中的更新算法都是基于單機(jī)的串行算法，在處理大量數(shù)據(jù)的時(shí)候速度慢，效率低，介紹了網(wǎng)格計(jì)算在人臉識(shí)別系統(tǒng)中的應(yīng)用，把原來(lái)的人臉數(shù)據(jù)更新串行算法改為并行算法并通過(guò)編寫(xiě)mpi并行程序移植到該網(wǎng)格計(jì)算平臺(tái)中運(yùn)行，實(shí)現(xiàn)了原有人臉識(shí)別系統(tǒng)中更新算法的分布式處理，增強(qiáng)了系統(tǒng)處理大量數(shù)據(jù)的能力，以達(dá)到提高系統(tǒng)性能的目的。
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