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A Hardware-Accelerated Estimation-Based Power Profiling Unit - Enabling Early Power-Aware Embedded Software Design and On-Chip Power Management

机译:一个基于硬件加速估计的电源性能分析单元-支持早期电源感知的嵌入式软件设计和片上电源管理

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The power consumption of battery powered and energy scavenging devices has become a major design metric for embedded systems. Increasingly complex software applications as well as rising demands in operating times, while having restricted power budgets are main drivers of power-aware system design as well as power management techniques. Within this work, a hardware-accelerated estimation-based power profiling unit delivering real-time power information has been developed. Power consumption feedback to the designer allows for real-time power analysis of embedded systems. Power saving potential as well as power-critical events can be identified in much less time compared to power simulations. Hence, the designer can take countermeasures already at early design stages, which enhances development efficiency and decreases time-to-market. Moreover, this work forms the basis for estimation-based on-chip power management by leveraging the power information for adoptions on system frequency and supply voltage in order to enhance the power efficiency of embedded systems. Power estimation accuracies achieved for a deep sub-micron smart-card controller are above 90% compared to gate-level simulations.
机译:电池供电和能量清除设备的功耗已成为嵌入式系统的主要设计指标。越来越复杂的软件应用程序以及对运行时间的要求不断提高,同时功率预算受到限制,这是功率感知系统设计以及功率管理技术的主要驱动力。在这项工作中,已经开发了一种可提供实时功率信息的基于硬件加速估计的功率分析单元。功耗反馈给设计人员,可以对嵌入式系统进行实时功耗分析。与电源仿真相比,可以在更少的时间内识别出节电潜力以及关键事件。因此,设计人员可以在设计的早期阶段就采取对策,从而提高开发效率并缩短产品上市时间。此外,这项工作通过利用电源信息以采用系统频率和电源电压来提高嵌入式系统的电源效率,从而为基于估计的片上电源管理奠定了基础。与门级仿真相比,深亚微米智能卡控制器实现的功率估算精度超过90%。

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