Earticle

초록

영어

Effective allocation of shared resources limited is a key problem for chip multiprocessors. As the processor core growth in the scale, multi thread for the shared resource limited system competition will become more intense, the performance of the system will also be more significant. In order to alleviate this problem, a fair and effective multi thread shared resources allocation scheduling algorithm is important. In all kinds of shared resources, the largest effect on the system performance is the shared cache and DRAM system. There are essential differences between the last level cache and a cache. The goal of a cache design is to provide fast data processor which requires high access speed. However, the object of the last level cache is to save data in the chip as much as possible, and the access speed requirements are not too high, it is more subject to the plate number of available transistors. Management level cache LRU strategy and its approximate algorithm are not applicable to the large capacity last level cache for traditional. It may cause destructive interference between threads, cache thrashing of stream media program lead, which will lead to a decline in the performance of processor. This paper focuses on the analysis of some hot problems of the last level cache management in the process of the large capacity of multi-core platform sharing, and puts forward the corresponding costs less.

목차

Abstract
 1. Introduction
 2. The Relevant Thoery Of Cache
 3. The Optimization Of Cache Management Strategy
 4. The Cache Verification Design And Simulation Platform
 5. Experimental Results
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Yuhuai Wang [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ] Corresponding author
• Huixi Zhang [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ]
• Yaping Sun [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ]
• Qihui Wang [ Qianjiang College, Hangzhou Normal University, Hangzhou 310036, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605