Computational grid is a development direction of distributed and parallel processing technology 計(jì)算網(wǎng)格是當(dāng)前并行和分布處理技術(shù)的一個(gè)發(fā)展方向。
Incremental updating algorithm and parallel processing technology were used to raise the efficiency of data mining and reduce the time complexity 由于使用了增量更新算法和并行處理技術(shù),從而提高了數(shù)據(jù)挖掘的效率,降低了時(shí)間復(fù)雜度。
With the development of parallel processing technology and the extended application of parallel computers , parallel computers are now in great demand 隨著并行處理技術(shù)的不斷發(fā)展以及并行計(jì)算機(jī)的日益推廣應(yīng)用,越來越多的人要求使用并行機(jī)。
Accordingly , the increasingly demanding for science computing is also the main power to impel the flourish development of parallel processing technology in those twenty years 相應(yīng)地,這種對(duì)工程計(jì)算能力與日俱增的需求也是促使并行處理技術(shù)在近二十年來得到蓬勃發(fā)展的主要源動(dòng)力。
The parallel processing technology has the potential that it can greatly raise the processing rate and solve the large - scale problem , so it has been an emphasis in the developing of modern digital signal processing 在現(xiàn)代數(shù)字信號(hào)處理技術(shù)中,并行處理由于蘊(yùn)含著提高處理速度和解決大規(guī)模問題的巨大潛力,已經(jīng)成為這一領(lǐng)域的一個(gè)發(fā)展重點(diǎn)。
Dsp products used primarily multi - cpu chips and parallel processing technology , to develop a series of products has been widely used for electricity , communications , transportation , national defense and generating new energy fields 主要產(chǎn)品采用dsp芯片及多cpu并行處理技術(shù),開發(fā)出的系列產(chǎn)品已廣泛應(yīng)用于電力、通信、交通、國防及新能源發(fā)電等領(lǐng)域。
This paper , first , studies the parallel architecture of np , and describe the chief design method and parallel processing technology of np from hardware and software , which gives the profile of np ’ s parallel architecture 本文首先研究了網(wǎng)絡(luò)處理器的并行體系結(jié)構(gòu)。從硬件和軟件兩個(gè)方面綜述了現(xiàn)代網(wǎng)絡(luò)處理器所使用的主要并行設(shè)計(jì)方法和并行處理模型。
Parallel computing is an effective instrument . along with the developing of high - powered parallel processing system , image parallel processing technology will provide greater space for improving the velocity of image processing 并行計(jì)算是提高處理速度的有效手段之一,隨著高性能并行處理系統(tǒng)的發(fā)展,圖像并行處理技術(shù)為提高圖像處理速度提供了更大的空間。
This also leads to that parallel computing will be the main computing method in the future , and the development of parallel processing technology will be the main power to impel the constructing of national defense and the development of national science and technology 這就導(dǎo)致了并行計(jì)算將成為未來主流計(jì)算模式,并行處理技術(shù)的發(fā)展將成為未來國防建設(shè)、國家科技發(fā)展的主要推動(dòng)力量。
Combining cluster - based parallel processing technology with the demanding requirement of crawling through vast amount web information , this architecture demonstrates a reasonable trade - off in crawling strategy , communication reduction , load balancing , task scheduling , and granularity control 結(jié)合web信息搜集的基本要求和基于pc機(jī)群的并行分布處理技術(shù),該系統(tǒng)結(jié)構(gòu)力圖在搜集策略、可擴(kuò)展性、減少通信、負(fù)載平衡、任務(wù)調(diào)度、并行粒度控制等方面得到一個(gè)很好的折衷。