earticle

영어

Energy consumption is a major concern in many embedded computing systems. Several studies have shown that cache memories account for about 50% of the total energy consumed in these systems. The performance of a given cache architecture is determined to a large degree by the behavior of the application executing on the architecture. The Desktop systems have to accommodate a very wide range of applications and therefore the cache architecture is usually set by the manufacturer as a best compromise given current applications, technology and cost. Unlike desktop systems, embedded systems are designed to run a small range of well-defined applications. In this paper, we explore the tradeoff between thermal and interconnect energy when allocating tasks in MPSoC and to devlop an efficient system. The experimental results show that the devloped technique can reduce interconnects energy by more than 25% on an average with almost the same peak temperature when compared with prior thermal-balanced solutions.