2005 | OriginalPaper | Chapter
Energy-Constrained Prefetching Optimization in Embedded Applications
Authors : Juan Chen, Yong Dong, Hui-zhan Yi, Xue-jun Yang
Published in: Embedded and Ubiquitous Computing – EUC 2005
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In energy-constrained settings, most low-power compiler optimization techniques take the approach of minimizing the energy consumption while meeting no performance loss. However, it is possible that the available
energy budget
is not sufficient to meet the optimal performance objective. To limit energy consumption within a given energy budget, energy-constrained optimization approach is more significant. In this paper, we present an energy-constrained prefetching optimization approach through which memory or CPU stalls (caused by too early or too late prefetching) can be reduced so that energy budget is met. Optimal performance objective is achieved under a given energy budget. We evaluate the effectiveness of our energy-constrained prefetching optimization approach through simulations.