Effectiveness Evaluation of Replacement Policies for On-Chip Caches in Multiprocessors

Author:

Jose Jobin1,Begum Shameedha1ORCID,Ramasubrmanian N. 1

Affiliation:

1. National Institute of Technology, Tiruchirappalli, India

Abstract

A Cache plays a vital role in improving performance in the multicore environment, especially the Last Level Cache (LLC). The improvements in performance are based on the block size, associativity, and replacement policies. Most of the papers concentrate on traditional Least Recently Used (LRU) based replacement policies for their replacement decisions. Unfortunately, the replacement decisions do not enhance performance of the cache as expected. An enhanced modified Pseudo LRU policy is proposed, which is an approximation of LRU. The proposed methodology uses counters to enhance the confidence of replacement decisions based on the history of the replaceable blocks in cache. It is very clear from the Simulation results that the replacement scheme proposed exhibits better performance improvement in terms of miss ratio of about 3% and energy efficiency of about 2% on an average.

Publisher

IGI Global

Subject

General Computer Science

Reference30 articles.

1. A three-level cache structure.;J. G.Anjana;Proceedings of the IEEE International Conference on Advanced Communications, Control and Computing Technologies,2014

2. Asaduzzaman, A., Rani, M., & Koivisto, D. (2009). Level-2 Shared Cache versus Level-2 Dedicated Cache for Homogeneous multicore Embedded Systems. Proceedings of the 2nd International Multi-Conference On Engineering and Technological Innovation, 3, 10-15.

3. Car: Clock with Adaptive Replacement.;S.Bansal;Proceedings of the Third USENIX Conference on File and Storage Technologies

4. Basu, A., Kirman, N., Kirman, M., Chaudhuri, M., & Martinez, J. F. (2007). Scavenger: A new last level cache architecture with global block priority. In Proceedings of the 40th International Symposium on Microarchitecture (pp. 421-432). IEEE.

5. A study of replacement algorithms for a virtual-storage computer

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