Methods for Optimizing Software Performance

被引：0

作者：

Efremov, Egor A. ^{[1
]}

Chufistov, Alexander A. ^{[1
]}

Mukaev, Rinat R. ^{[1
]}

Skvortsov, Vadim ^{[1
]}

机构：

[1] Bauman Moscow State Tech Univ, Dept Informat & Control Syst, Moscow, Russia

来源：

PROCEEDINGS OF THE 2021 IEEE CONFERENCE OF RUSSIAN YOUNG RESEARCHERS IN ELECTRICAL AND ELECTRONIC ENGINEERING (ELCONRUS) | 2021年

关键词：

performance; complexity estimation; optimization; algorithm complexity; recursion; memory;

D O I：

10.1109/ElConRus51938.2021.9396146

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Studying various ways and methods of using hardware resources efficiently in order to optimize software performance is one of the most interesting and most important tasks of computer engineers. This study analyzes the estimation of algorithm complexity and the impact of algorithms complexities on software performance. Special attention has been given to the main problems of increasing performance and access time to RAM and hard disk. The main methods which have been used to solve the performance problem have been described. In practical implementation, an algorithm has been developed for processing a large array of objects.

引用

页码：2072 / 2075

页数：4

共 5 条

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