REDUCING CACHE HIERARCHY ENERGY CONSUMPTION BY PREDICTING FORWARDING AND DISABLING ASSOCIATIVE SETS

Reducing Cache Hierarchy Energy Consumption by Predicting Forwarding and Disabling Associative Sets

The first level data cache in modern processors has become a major consumer of energy due to its increasing size and high frequency access rate. In order to reduce this high energy consumption , we propose in this paper a straightforward filtering technique based on a highly accurate forwarding predictor. Specifically, a simple structure predicts whether a load instruction will obtain its corre...

Reducing Cache Energy Technique By Pre-tag-matching On Set-associative Cache

Reducing Energy Consumption using a Non-Volatile storage cache

We can outperform the most powerful disk spin-down algorithm available by using a small non-volatile storage write-only cache to temporarily store hard disk write requests while a disk is spun-down. In our experiments, we use a USB thumb drive device as our non-volatile storage cache. By redirecting writes to a flash memory while a disk is spun-down we avoid costly hard disk cycle start-stop op...

Modeling, Predicting and Reducing Energy Consumption in Resource Restricted Computers

Modeling, Predicting and Reducing Energy Consumption in Resource Restricted Computers

Reducing set-associative L1 data cache energy by early load data dependence detection (ELD3)

Fast set-associative level-one data caches (L1 DCs) access all ways in parallel during load operations for reduced access latency. This is required in order to resolve data dependencies as early as possible in the pipeline, which otherwise would suffer from stall cycles. A significant amount of energy is wasted due to this fast access, since the data can only reside in one of the ways. While it...