A List-Based Low Power Scheduling Technique For Intelligent Memory System

摘要

Power consumption is gradually becoming an important issue of designi ng computing systems. Most of the low power researches focused on semiconductor technique or hardware architecture design, but less utilized the techniques of software optimization. In this paper, we applied list scheduling to reduce the energy cost, without sacrificing the execution performance, for the intelligent memory system. In our list-based low power scheduling algorithm, the priority list will be maintained for each scheduling step. The scheduling kernel provides the priority of mobility to determine which task will be scheduled to the, processor. Tasks are scheduled to suitable processor using the energy cost model of energy-delay product. The experimental results are presented and discussed.