E. R. Wognsen, René Rydhof Hansen, K. Larsen, P. Koch
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引用次数: 2
Abstract
Software Defined Radio (SDR) devices are becoming increasingly popular due to their support for mode-, standard- and application-flexibility. At the same time however, the energy consumption of such devices typically suffers from the use of reconfigurable real-time platforms which are known to be severely power hungry. In this work we therefore show how to use tools and techniques developed by the formal methods community to minimize the energy consumption of Finite Impulse Response (FIR) filters which are extensively used in SDR front-ends. We conduct experiments with four different FIR filter structures where we initially derive data flow graphs and precedence graphs using the Synchronous Data Flow (SDF) notation. Based on actual measurements on the Altera Cyclone IV FPGA, we derive power and timing estimates for addition and multiplication, including idling power consumption. We next model the FIR structures in UPPAAL CORA and employ model checking to find energy-optimal solutions in linearly priced timed automata. In conclusion we state that there are significant energy-versus-time differences between the four structures when we experiment with varying numbers of adders and multipliers. Similarly, we find that idle power becomes an important parameter when a high number of functional units are allocated.
软件定义无线电(SDR)设备由于其对模式、标准和应用灵活性的支持而变得越来越流行。然而,与此同时,这种设备的能源消耗通常受到使用可重构实时平台的影响,众所周知,这些平台非常耗电。因此,在这项工作中,我们展示了如何使用正式方法社区开发的工具和技术来最大限度地减少在SDR前端广泛使用的有限脉冲响应(FIR)滤波器的能量消耗。我们使用四种不同的FIR滤波器结构进行实验,其中我们最初使用同步数据流(SDF)表示法导出数据流图和优先图。基于Altera Cyclone IV FPGA的实际测量,我们得出了加法和乘法的功率和时间估计,包括空转功耗。接下来,我们对UPPAAL CORA中的FIR结构建模,并使用模型检查来寻找线性定价时间自动机的能量最优解。综上所述,当我们用不同数量的加法器和乘法器进行实验时,这四种结构之间存在显著的能量与时间差异。同样,我们发现当分配大量功能单元时,空闲功率成为一个重要的参数。