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高階矩量法在國(guó)產(chǎn)超級(jí)計(jì)算機(jī)上的并行性能

發(fā)布時(shí)間:2019-05-12 19:33
【摘要】:矩量法的計(jì)算復(fù)雜度和內(nèi)存需求隨著電磁目標(biāo)未知量N的增大呈O(N 2)甚至O(N 3)增長(zhǎng),這使得其在處理未知量很大的復(fù)雜電磁問題時(shí),往往需要很長(zhǎng)的計(jì)算時(shí)間,因此算法并行性能的優(yōu)化顯得尤為重要。本文基于國(guó)產(chǎn)計(jì)算機(jī)平臺(tái)的軟硬件環(huán)境,針對(duì)Block size和Process grid兩個(gè)參數(shù)對(duì)矩量法并行性能的影響進(jìn)行了優(yōu)化測(cè)試,并根據(jù)優(yōu)化測(cè)試的結(jié)論對(duì)高階矩量法的并行性能進(jìn)行了測(cè)試,測(cè)試結(jié)果表明該算法在并行規(guī)模擴(kuò)大10倍以上時(shí)仍可以獲得75%~80%的并行效率。此外以飛機(jī)散射特性計(jì)算為例表明并行高階矩量法可以在國(guó)產(chǎn)計(jì)算機(jī)平臺(tái)上有效解決此類散射問題。
[Abstract]:The computational complexity and memory requirement of the moment method increase with the increase of the unknown quantity N of the electromagnetic target, which is O (N 2) or even O (N 3), which makes it often take a long time to deal with the complex electromagnetic problems with large unknowns. Therefore, the optimization of parallel performance of the algorithm is particularly important. Based on the software and hardware environment of the domestic computer platform, this paper tests the parallel performance of the method of moment (mom) under the influence of Block size and Process grid parameters, and tests the parallel performance of the high-order mom according to the conclusion of the optimization test. The test results show that the parallel efficiency of the algorithm can still be 75% 鈮,

本文編號(hào):2475644

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