Request Schedule Oriented Compression Cache Memory

Service request oriented architecture

Reduction in Cache Memory Power Consumption based on Replacement Quantity

Today power consumption is considered to be one of the important issues. Therefore, its reduction plays a considerable role in developing systems. Previous studies have shown that approximately 50% of total power consumption is used in cache memories. There is a direct relationship between power consumption and replacement quantity made in cache. The less the number of replacements is, the less...

The Compression Cache: Using On-line Compression to Extend Physical Memory

This paper describes a method for trading oo computation for disk or network I/O by using less expensive on-line compression. By using some memory to store data in compressed format, it may be possible to t the working set of one or more large applications in relatively small memory. For working sets that are too large to t in memory even when compressed, compression still provides a beneet by ...

Reduction in Cache Memory Power Consumption based on Replacement Quantity

Today power consumption is considered to be one of the important issues. Therefore, its reduction plays a considerable role in developing systems. Previous studies have shown that approximately 50% of total power consumption is used in cache memories. There is a direct relationship between power consumption and replacement quantity made in cache. The less the number of replacements is, the less...

Cache Compression through Noise Prediction

Caches are very inefficiently utilized because not all the excess data fetched into the cache, to exploit spatial locality, is utilized. Our experiments show that Level 1 data cache has a utilization (in terms of the percentage of data brought into the cache that is actually used) of only about 45%. Our studies also show that a prediction accuracy of about 95% can be achieved when predicting th...