Energy conservation is a critical issue in battery operated systems. Energy consumption reduction of portable embedded systems is essential for increasing the battery life, enabling better system usefulness. One of the promising techniques of energy consumption reduction is Dynamic Voltage and Frequency (DVFS). In this paper, a Dynamic Frequency Scaling (DFS) method is used to reduce the energy...

Modern multi-core processors use power management techniques such as dynamic voltage and frequency scaling (DVFS) and clock gating (CG) which cause the processor to operate in various performance and power states depending on runtime workload characteristics. A voltage regulator (VR), which is designed to provide power to the processor at its highest performance level, can significantly degrade...

This paper presents a dynamic voltage and frequency scaling methodology for long-term operation, using fault-tolerance to prevent failures. The DVFS methodology allows a dual-mode operation, targeting high performance or low-power operation modes, and using an on-line circuit monitoring with aging-aware fault-tolerance to prevent errors during a long-term operation. Fail-safe operation is achie...

With the advent of semi conductor technology, the development of more complex embedded real time applications is made possible today. This accelerates the development and support for multiprocessor based systems. The paper presents the development of “a power-aware real time embedded system for temperature monitoring and control in safety critical applications”. The main objective of the work i...

To achieve both of a high peak performance and low average power characteristics, frequency-voltage cooperative control processor has been proposed. The processor schedules its operating frequency according to the required computation power. Its operating voltage or body bias voltage is adequately modulated simultaneously to effectively cut down either switching current or leakage current, and ...

As we move towards exa-scale computing, energy is becoming increasingly important, even in the high performance computing arena. However, the simple equation, Energy = Power × Time, suggests that optimizing for speed already optimizes for energy, under the assumption that Power is constant. When power is not constant, a strategy that achieves energy savings at the cost of slower execution is Dy...

Body area sensor networks (BASNs) have implicit stringent power requirements to meet battery life and form factor expectations, especially in long-term medical monitoring applications. The largest power consumer in BASNs is typically the wireless transceiver, so recent research has focused on increasing on-node signal processing to reduce the number of bits for wireless transmission. This shift...

Recently, power awareness in high performance computing (HPC) community has increased significantly. While CPU power reduction of HPC applications using Dynamic Voltage Frequency Scaling (DVFS) has been explored thoroughly, CPU power management for large scale parallel systems at system level has left unexplored. In this paper we propose a power-aware parallel job scheduler assuming DVFS enable...

This paper describes a dynamic voltage and frequency scaling (DVFS) technique for MPEG2 decoding to reduce the energy consumption while maintaining a quality of service (QoS) constraint. The computational workload for an incoming frame is predicted using a frame-based history so that the processor voltage and frequency can be scaled to provide the exact amount of computing power needed to decod...

This work demonstrates the potential of hardware and software optimization to improve the effectiveness of dynamic voltage and frequency scaling (DVFS). For software, we decouple data prefetch (access) and computation (execute) to enable optimal DVFS selection for each phase. For hardware, we use measurements from state-of-the-art multicore processors to accurately model the potential of per-co...