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A Feed-Forward Dynamic Voltage Control Algorithm for Low Power MPEG4 on Multi-Regulated Voltage CPU

机译:多稳压电压CPU上低功耗MPEG4的前馈动态电压控制算法

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In this paper, we describe a feed-forward dynamic voltage/clock-frequency control method enabling low power MPEG4 on multi-regulated voltage CPU with combining the characteristics of the CPU and the video encoding processing. This method theoretically achieves minimum low power consumption which is close to the hardware-level power consumption. Required processing performance for MPEG4 visual encoding totally depends on the activity of the sequence, and high motion sequence requires high performance and low motion sequence requires low performance. If required performance is predictable, lower power consumption can be achieved with controlling the adequate voltage and clock-frequency dynamically at every frame. The proposed method in this paper is predicting the required processing performance of a future frame using our unique feed-forward analysis method and controlling a voltage and frequency dynamically at every frame along with the forward analysis value. The simulation results indicate that the proposed feedforward analysis method adequately predicts the required processing performance of every future frame, and enables to minimize power consumption on software basis MPEG4 visual encoding processing. In the case that CPU has Frequency-Voltage characteristics of 1.8 V @400MHz to 1.0 V @ 189 MHz, the proposed method reduces the power consumption approximately 37% at high motion sequences or 65% at low motion sequences comparing with the conventional software video encoding method.
机译:在本文中,我们描述了一种前馈动态电压/时钟频率控制方法,该方法结合了CPU的特性和视频编码处理,可在多稳压电压CPU上实现低功耗MPEG4。从理论上讲,该方法实现了最低的低功耗,接近硬件级功耗。 MPEG4视觉编码所需的处理性能完全取决于序列的活动性,高运动序列需要高性能,而低运动序列则需要低性能。如果可以预期所需的性能,则可以通过动态地控制每一帧的适当电压和时钟频率来降低​​功耗。本文提出的方法是使用我们独特的前馈分析方法预测未来帧所需的处理性能,并动态控制每一帧的电​​压和频率以及正向分析值。仿真结果表明,所提出的前馈分析方法能够充分预测每个未来帧所需的处理性能,并能够使基于软件的MPEG4视觉编码处理的功耗降至最低。在CPU具有1.8 V @ 400MHz的频率-电压特性至1.0 V @ 189 MHz的频率-电压特性的情况下,与传统的软件视频编码相比,该方法在高运动序列时的功耗降低约37%,在低运动序列时的功耗降低约65%方法。

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