Combined Dynamic Voltage Scaling and Adaptive Body Biasing for Heterogeneous Distributed Real-time Embedded Systems

Abstract— Dynamic voltage scaling (DVS) is a powerful technique for reducing dynamic power consumption in a computing system. However, as technology feature size continues to scale, leakage power is increasing and will limit power savings obtained by DVS alone. Previous system-level real-time scheduling approaches use DVS alone to optimize power consumption without considering leakage power. To overcome this limitation, we propose a new scheduling algorithm that combines DVS and adaptive body biasing (ABB) to simultaneously optimize both dynamic power consumption and leakage power consumption for real-time distributed embedded systems. First, we derive an analytical expression to determine the optimal supply voltage and body bias voltage under a given clock frequency. Based on this expression, we compute the optimal energy consumption at a given clock frequency and analyze the tradeoff between energy consumption and execution time for a set of tasks with precedence relationships and ...

• Type: Conference
• Year: 2003
• Where: ICCAD
• Authors: Le Yan, Jiong Luo, Niraj K. Jha
• Keywords: Dynamic Power Consumption, Hardware, ICCAD 2003, Leakage Power Consumption, Total Power Consumption