Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Towards self organizing cache memories using neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Hammami, O. ; Aizu Univ., Fukushima, Japan

In this paper we investigate the possibility to use neural networks to implement a new cache block placement strategy in cache memories. Based on the principle of space locality, we propose a cluster based cache block placement strategy more adapted to program behavior. The capacity of neural networks to produce such clusters is evaluated and cross-validated with standards statistical techniques. Positive results for the set of benchmarks used were obtained

Published in:

Neural Networks, 1995. Proceedings., IEEE International Conference on  (Volume:2 )

Date of Conference:

Nov/Dec 1995