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Automated Power Characterization for Run-Time Power Emulation of SoC Designs

机译:SoC设计的运行时功率仿真的自动功率表征

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With the advent of increasingly complex systems, the use of traditional power estimation approaches is rendered infeasible due to extensive simulation times. Hardware accelerated power emulation techniques, performing power estimation as a by-product of functional emulation, are a promising solution to this problem. However, only little attention has been awarded so far to the problem of devising a generic methodology capable of automatically enabling the power emulation of a given system-under-test. In this paper, we propose an automated power characterization and modeling methodology for high level power emulation. Our methodology automatically extracts relevant model parameters from training set data and generates an according power model. Furthermore, we investigate the automation of the power model hardware implementation and the automated integration into the overall systemȁ9;s HDL description. For a smart card controller test-system the automatically created power model reduces the average estimation error from 11.78% to 4.71% as compared to a manually optimized one.
机译:随着越来越复杂的系统的出现,由于大量的仿真时间,使得传统功率估计方法的使用变得不可行。作为功​​能仿真的副产品执行功率估计的硬件加速电源仿真技术是解决此问题的有希望的解决方案。但是,到目前为止,对于设计一种能够自动启用给定被测系统的电源仿真能力的通用方法学的问题,几乎没有引起任何关注。在本文中,我们提出了一种用于高级功率仿真的自动功率表征和建模方法。我们的方法自动从训练集数据中提取相关的模型参数,并生成相应的功效模型。此外,我们研究了功率模型硬件实现的自动化以及如何将其自动集成到整个系统中,即HDL描述[9]。对于智能卡控制器测试系统,与手动优化的功率模型相比,自动创建的功率模型将平均估计误差从11.78%降低到4.71%。

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