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SYSTEM LEVEL SYNTHESIS ON I/O INTENSIVE LOW POWER DISTRIBUTED EMBEDDED SYSTEM

机译:I / O密集型低功耗嵌入式系统的系统级综合

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Embedded systems are nowadays becoming more and more distributed and intensively coupled with the environment. For I/O intensive distributed embedded systems, the power consumption on I/O devices is as important as that on PEs (Processing Elements). Most work on power aware I/O scheduling considers only independent coarse grain tasks on uni-processor. More over, energy and time penalty is seldom taken into account. The existing models are too inaccurate to deliver the great potential of low power system level synthesis. In this paper, a flexible model, which is based on TG (Task Graph), is presented for I/O intensive distributed embedded system in fine grain manner. More importantly, we present a novel I/O aware system level synthesis algorithm that is based on Hierarchical GA (Generic Algorithm). In the proposed algorithm, outer loop deals with task assignment, while inner loop deals with.scheduling on both I/O devices and PEs
机译:如今,嵌入式系统变得越来越分散,并且与环境紧密耦合。对于I / O密集型分布式嵌入式系统,I / O设备上的功耗与PE(处理元素)上的功耗一样重要。关于功耗感知I / O调度的大多数工作仅考虑单处理器上独立的粗粒度任务。此外,很少考虑能源和时间损失。现有模型太不准确,无法提供低功耗系统级综合的巨大潜力。本文以细粒度的方式为I / O密集型分布式嵌入式系统提供了基于TG(任务图)的灵活模型。更重要的是,我们提出了一种基于层次GA(通用算法)的新型I / O感知系统级综合算法。在提出的算法中,外循环处理任务分配,而内循环处理I / O设备和PE上的调度

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