Cache Optimization by Fully-Replacement Policy
American Journal of Embedded Systems and Applications
Volume 4, Issue 1, November 2016, Pages: 7-14
Received: Oct. 20, 2016;
Accepted: Nov. 9, 2016;
Published: Dec. 5, 2016
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Chuntao Du, Department of Computer Science and Technology, North China University of Technology, Beijing, China
Xinsong Du, Department of Electrical and Computer Engineering, University of Florida, Gainesville, Florida, USA
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Cache is an important component in computer architecture. It has great effects on the performance of systems. Nowadays, Least Recently Used (LRU) Algorithm is one of the most commonly used one because it is easy to implement and with a relatively good performance. However, in some particular cases, LRU is not a good choice. To provide references for the computer architecture designer, the study proposed a new algorithm named Fully Replacement Policy (FRP) and then analyzed various factors of effects on cache performance, carried out the simulation experiment of cache performance based on SimpleScalar toolset and SPEC2000 benchmark suite. The study compared the effects of Fully Replacement Policy with Least Recently Used (LRU) Algorithm when set size, block size, associativity and replacement methods are changed separately., By experimentally analyzing the results, it was found that FRP outperforms LRU in some particular situations.
Cache memory, Replacement, Optimization, SimpleScaler, SPEC2000
To cite this article
Cache Optimization by Fully-Replacement Policy, American Journal of Embedded Systems and Applications.
Vol. 4, No. 1,
2016, pp. 7-14.
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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