The computation result is identical to that of series program , and the correctness of the parallel program is verified 最后將并行程序與串行程序的計算結(jié)果相比較,驗證了該并行程序的正確性。
In this dissertation , the series program structure of wheel / rail system dynamics is analyzed to search the solutions to parallel processing 本論文對輪軌系統(tǒng)動力學(xué)的原有串行程序結(jié)構(gòu)進行了剖析,以尋求并行處理的可行方法。
The efficiency can achieve 80 % when executed on 4 computing nods , and 70 % on 8 nods of yh - iii super computer 在銀河-上的測試數(shù)據(jù),表明paractive能夠?qū)fd串行程序有效并行化,生成高質(zhì)量的并行程序, 8機并行效率可達70 。
While executing the program , we memorize all the values of each array variable . the analysis will stop if data dependence is found 動態(tài)測試就是在解釋執(zhí)行程序的同時,記錄串行程序對數(shù)組元素的訪問,如果發(fā)現(xiàn)數(shù)據(jù)相關(guān)就終止測試。
Also , programming for such systems is easier since all the data is available to all processors and is not much different from sequential programming 而且對于這種系統(tǒng)進行編程要簡單很多,因為所有的數(shù)據(jù)對于所有的處理器來說都是可以使用的,這與串行程序并沒有太多區(qū)別。
In order to compile serial programs into parallel mode , the instruction set pisa which is used in wattch tools is extended by adding instructions which support thread - pipelining model 在wattch自帶的pisa指令集基礎(chǔ)上擴充支持線程流水的指令,解決串行程序并行化編譯的問題。
The analysis of computation time of different subroutines shows that the solution of linear equations account for 75 percent of total workload and it is also the main work in the study 通過對串行程序中各功能模塊計算工作量的分析,線性方程組的求解在該串行程序中占有75的工作量,并行求解線性方程組是本論文的一項主要工作。
State - of - the - art microprocessors exploit instruction level parallelism ( ilp ) to achieve high performance on applications by searching for independent instructions in a dynamic window of instructions and executing them on a wide - issue pipeline 對于當前軟件中占主要部分的串行程序而言,微處理器主要依靠開發(fā)程序的指令級并行( ilp )來提高性能。
In the serial computation domain , people acknowledged von neumann machine model as computation model . so serial programs can be transported to other serial computers without much alteration and potential performance loss 在串行計算領(lǐng)域,大家都公認了以馮諾依曼模型為計算模型,因而串行程序基本上無須多大改變就可移植到其它的串行計算機上,并且無潛在的性能損失。
To solve the problem , automatic parallelization of sequential programs has been studied since 1980s , which has been made great progress in these years . but application results are still disappointing . there is still no widely accepted and authorized automatic parallelizer 為了解決這一困難, 80年代以來,人們對串行程序的自動并行技術(shù)展開了研究,十多年來取得了長足的進步,但實際應(yīng)用效果還不理想。