The shared - nothing design assures the least interactions among different logical units and takes advantage of parallel computing 無共享的設(shè)計保證了不同邏輯單元之間的最少交互,且利用了并行計算。
This paper mainly studies distributed parallel computing theory and how to build a distributed system based on dcom 本文在深入研究分布并行計算理論的基礎(chǔ)上構(gòu)建與實(shí)現(xiàn)了基于dcom的分布并行計算系統(tǒng)。
Employing distributed and parallel computing technologies , grids make the best use of spare computing resources in a network 網(wǎng)格同時采用分布式和并行式技術(shù),能夠徹底運(yùn)用網(wǎng)絡(luò)中閑置的電腦運(yùn)作資源。
The present paper reviews significant researches reported on parallel computing techniques applied in chemical process simulation and optimization 回顧了在化工模擬與優(yōu)化領(lǐng)域應(yīng)用并行計算技術(shù)的重要研究進(jìn)展。
Parallel computing means to handle several missions , several instructions or data units so as to improve processing speed 并行處理是指同時對多個任務(wù)或多條指令、或多個數(shù)據(jù)項(xiàng)進(jìn)行處理,從而大大提高計算速度。
Applied parallel computing is an advanced interdisciplinary introduction to modern scientific computing on parallel supercomputers 應(yīng)用并行計算是一門討論在并行超級計算機(jī)上進(jìn)行現(xiàn)代科學(xué)計算的一個高級跨學(xué)科導(dǎo)論課程。
Secondly , it put forward a thought of parallel computing by computers so as to resolve the computing resources for this large eddy simulation 其次,為了解決大渦模擬對計算資源的要求問題,提出了采用微機(jī)并行的思路。
The numerical tests are conducted on a parallel computing system and the results demonstrate the method is effective for the class of partitioned stiff systems 數(shù)值試驗(yàn)結(jié)果表明,該方法對于求解分解的剛性系統(tǒng)是可行的。
High speed network and improved microprocessor performance are making networks of computers an appealing vehicle for parallel computing 高速計算機(jī)網(wǎng)絡(luò)和不斷提高的微處理芯片性能使得計算機(jī)網(wǎng)絡(luò)成為吸引人的并行計算載體。
Yet grid , distributed , and parallel computing technologies share the same idea of better utilising networked resources , they have different focuses 網(wǎng)格分布式及并行式電腦運(yùn)作技術(shù)的意念都是善用已聯(lián)網(wǎng)的資源,但重點(diǎn)各有不同: