In this paper, we propose a novel power macromodeling technique for high level power estimation based on power sensitivity. Power sensitivity defines the change in average power due to changes in the input signal specification. The contribution of this work is that we can use only a few points to construct a complicated power surface in the specification-space. With such a power surface, we can easily obtain the power dissipation under any distribution of primary inputs. The advantages of our technique are two-fold. First, the required parameters corresponding to each representative point can be efficiently obtained by only one symbolic power estimation run or by only one Monte Carlo based statistical power estimation process. This stems from the fact that power sensitivity can be obtained as a by-product of probabilistic or statistical power estimation runs. Second, the memory requirements for the macromodel are reduced to
在本文中,我们提出了一种新的基于功率敏感度的功率宏建模技术,用于高级功率估计。功率灵敏度定义了由于输入信号规格的变化而引起的平均功率的变化。这项工作的贡献在于,我们只能使用几个点在规范空间中构造一个复杂的电源曲面。有了这样的电源表面,我们可以轻松获得在任何主要输入分布下的功耗。我们技术的优点有两个方面。首先,仅通过一个符号功率估计运行或仅通过一个基于蒙特卡洛的统计功率估计过程就可以有效地获得与每个代表点相对应的所需参数。这源于这样一个事实,即可以将功率敏感度作为概率或统计功率估计运行的副产品而获得。其次,将宏模型的内存需求减少为
event-driven simulation, reconfigurable computing;
机译:使用新型功率宏建模技术估算功耗
机译:功耗宏建模技术及其在基于SoC的设计中的应用
机译:在生物分子MS中驱动高灵敏度:改进此关键参数可实现新颖的应用并为其他技术提供动力
机译:基于功率灵敏度的功率宏建模技术
机译:基于压电换能的自供电传感的电源管理和损坏评估技术。
机译:通过能量收集和无线功率传输为无线传感器节点供电的策略和技术
机译:一种基于功率灵敏度的功率宏模型技术
机译:通过功率灵敏度最小化技术对各种铯标准获得的长期稳定性结果的首次考虑