Browsing by Author "Chen, Jian Jhen"

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Evaluation and modeling of power consumption of a heterogeneous dual-core processor
(2007)
Hsu, Chun-Hao
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Chen, Jian Jhen
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Tsao, Shiao-Li
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資訊工程學系
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Department of Computer Science
Embedded systems such as mobile phones widely adopt heterogeneous dual-core processors to improve the performance and reduce the cost and power consumption. Considering mobile devices that are usually battery-operated, one of the critical issues for such an embedded system is software design which must fully utilize the computation power and minimizes the power consumption. A number of power consumption models were proposed to facilitate designers to evaluate and diagnose the power consumption of the software. Unfortunately, previous studies only investigated single-core processors, but have not yet developed power consumption models for heterogeneous dual-core processors. In this paper, a power consumption model for the dual-core processor based on TI OMAP5912 is proposed for evaluating the power consumption of embedded software. This tool not only estimates the energy consumed by embedded software but also analyzes the energy distributions of the software on each processor core. With the aid of this tool, designers could diagnose the power consumption of dual-core embedded software efficiently and easily.
SEProf: A high-level software energy profiling tool for an embedded processor enabling power management functions
(2012-08-01)
Tsao, Shiao-Li
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Chen, Jian Jhen
;
資訊工程學系
;
Department of Computer Science
Energy efficiency has become one of the most important design issues for embedded systems. To examine the power consumption of an embedded system, an energy profiling tool is highly demanded. Although a number of energy profiling tools have been proposed, they are not directly applicable to the embedded processors with power management functions that are widely utilized in battery-operated embedded systems to reduce power consumption. Hence, this study presents a high-level energy profiling tool, called SEProf, that estimates the energy consumption of an embedded system running multithread software and a multitasking operating system (OS) that supports power management functions. This study implements the proposed SEProf in Linux 2.6.19 and evaluates its performance on an ARM11 MPCore processor. Experimental results demonstrate that the proposed tool can provide accurate energy profiling results with a low profiling overhead. (C) 2012 Elsevier Inc. All rights reserved.