Compression-Based Program Characterization for Improving Cache Memory Performance
IEEE Transactions on Computers
Computer Architecture: A Quantitative Approach
Computer Architecture: A Quantitative Approach
Using Prime Numbers for Cache Indexing to Eliminate Conflict Misses
HPCA '04 Proceedings of the 10th International Symposium on High Performance Computer Architecture
Introducing entropies for representing program behavior and branch predictor performance
Proceedings of the 2007 workshop on Experimental computer science
On optimization of storage hierarchies
IBM Journal of Research and Development
Fractal nature of software-cache interaction
IBM Journal of Research and Development
Understanding prediction limits through unbiased branches
ACSAC'06 Proceedings of the 11th Asia-Pacific conference on Advances in Computer Systems Architecture
Hi-index | 0.00 |
Cache memories play important roles in modern computer architecture. Performance of a cache memory largely depends on spatial and temporal locality in memory access. Highly local access results good cache performance. In this paper, we discuss locality features in memory access and cache performance. We first discuss distribution function of memory access, and then, introduce an entropy concept. We define two new entropies based on memory access behavior and cache access. Preliminary evaluation results of cache performance and entropy values are reported.