Dynamic power management framework for multi-core portable embedded system

Chen, Tianzhou; Huang, Jiangwei; Xiang, Lingxiang; Shi, Qingsong

doi:10.1145/1463768.1463770

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…To this end, a number of researches were conducted based on more practical computing systems (e.g. [18], [15], [1], [20], [11], [8]). For example, Ahn [1] et al developed and validated a heuristic to reduce the power consumption and control the temperature on Intel Centrino Duo and ARM-11 MPCore platformss.…”

Section: Introductionmentioning

confidence: 99%

Throughput Maximization for Intel Desktop Platform under the Maximum Temperature Constraint

Liu

Quan

Qiu

2011

2011 IEEE/ACM International Conference on Green Computing and Communications

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Abstract-As processor power consumption continues to grow, thermal issue is becoming critical in the design of computing systems. While there have been extensive theoretical researches conducted on thermal aware computing, most of these researches are based on idealized theoretical models and, sometimes, unrealistic assumptions. In this paper, we develop a practical thermal aware scheduling algorithm to optimize its throughput under a given temperature constraint. We identify limitations of related theoretical work and implement a practical algorithm on an Intel i5 desktop computing running Linux 2.6.34. We also use SPEC2000 benchmark to validate the effectiveness of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Throughput Maximization for Intel Desktop Platform under the Maximum Temperature Constraint

Liu

Quan

Qiu

2011

2011 IEEE/ACM International Conference on Green Computing and Communications

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“…Also, a number of researches were conducted based on more practical computing systems [121,109,3,122,93,61]. For example, Ahn et al [3] developed and validated a heuristic algorithm to reduce the power consumption and control the temperature on an Intel Centrino Duo and an ARM-11 MPCore platform.…”

Section: Related Workmentioning

confidence: 99%

“…To this end, many researches have been carried out based on practical hardware platforms [69,110,7,38,123,49].…”

Section: Related Workmentioning

confidence: 99%

Practical Dynamic Thermal Management on Intel Desktop Computer

Quan

Liu

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Professor Gang Quan, Major ProfessorFueled by increasing human appetite for high computing performance, semiconductor technology has now marched into the deep sub-micron era. As transistor size keeps shrinking, more and more transistors are integrated into a single chip. This has increased tremendously the power consumption and heat generation of IC chips. The rapidly growing heat dissipation greatly increases the packaging/cooling costs, and adversely affects the performance and reliability of a computing system. In addition, it also reduces the processor's life span and may even crash the entire computing system. Therefore, dynamic thermal management (DTM) is becoming a critical problem in modern computer system design.Extensive theoretical research has been conducted to study the DTM problem.However, most of them are based on theoretically idealized assumptions or simplified models. While these models and assumptions help to greatly simplify a complex problem and make it theoretically manageable, practical computer systems and applications must deal with many practical factors and details beyond these models or assumptions.The goal of our research was to develop a test platform that can be used to validate theoretical results on DTM under well-controlled conditions, to identify the limitations of existing theoretical results, and also to develop new and practical DTM techniques. This dissertation details the background and our research efforts in this v endeavor. Specifically, in our research, we first developed a customized test platform based on an Intel desktop. We then tested a number of related theoretical works and examined their limitations under the practical hardware environment. With these limitations in mind, we developed a new reactive thermal management algorithm for single-core computing systems to optimize the throughput under a peak temperature constraint. We further extended our research to a multicore platform and developed an effective proactive DTM technique for throughput maximization on multicore processor based on task migration and dynamic voltage frequency scaling technique. The significance of our research lies in the fact that our research complements the current extensive theoretical research in dealing with increasingly critical thermal problems and enabling the continuous evolution of high performance computing systems.

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