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On Task Allocation and Scheduling for Lifetime Extension of Platform-Based MPSoC Designs

机译:基于平台的MPSoC设计的生命周期扩展的任务分配和调度

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摘要

With the relentless scaling of semiconductor technology, the lifetime reliability of today's multiprocessor system-on-a-chip (MPSoC) designs has become one of the major concerns for the industry. Without explicitly taking this issue into consideration during the task allocation and scheduling process, existing works may lead to imbalanced aging rates among processors, thus reducing the system's service life. To tackle this problem, in this paper, we propose an analytical model to estimate the lifetime reliability of multiprocessor platforms when executing periodical tasks, and we present a novel task allocation and scheduling algorithm that is able to take the aging effects of processors into account, based on the simulated annealing technique. In addition, to speed up the annealing process, several techniques are proposed to simplify the design space exploration process with satisfactory solution quality. Experimental results on various hypothetical multiprocessors and task graphs show that significant system lifetime extension can be achieved by using the proposed approach, especially for heterogeneous platforms with large task graphs.
机译:随着半导体技术的不断发展,当今的多处理器片上系统(MPSoC)设计的使用寿命可靠性已成为业界关注的主要问题之一。如果在任务分配和调度过程中未明确考虑此问题,则现有工作可能会导致处理器之间的老化率失衡,从而缩短系统的使用寿命。为了解决这个问题,在本文中,我们提出了一个分析模型来估计执行周期性任务时多处理器平台的生命周期可靠性,并提出了一种新颖的任务分配和调度算法,该算法能够考虑处理器的老化影响,基于模拟退火技术。另外,为了加快退火过程,提出了几种技术来简化具有满意解决方案质量的设计空间探索过程。在各种假设的多处理器和任务图上的实验结果表明,使用所提出的方法可以显着延长系统寿命,特别是对于具有大型任务图的异构平台而言。

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