Towards self organizing cache memories using neural networks

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