Throughput Maximization for Intel Desktop Platform under the Maximum Temperature Constraint

Liu, Guanglei; Quan, Gang; Qiu, Meikang

doi:10.1109/greencom.2011.10

Cited by 4 publications

(3 citation statements)

References 24 publications

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“…For example, many researches employ the lumped first order RC thermal model to model temperature dynamics [56,92,104]. However, to get accurate values for a practical processor platform can be challenging [70]. Also, some approaches assume that the exact knowledge of the actual temperature is always available, which may not always be possible [128,95].…”

Section: Research Problem and Our Contributionsmentioning

confidence: 99%

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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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Section: Research Problem and Our Contributionsmentioning

confidence: 99%

“…technique [70,104,59,58], which can control the temperature by dynamically adjusting the processor speed based on the workload. For example, Chantem [18] et al proposed an algorithm to run real-time tasks under temperature constraint by switching two available speeds neighboring of the ideal speed.…”

Section: Related Workmentioning

confidence: 99%

Practical Dynamic Thermal Management on Intel Desktop Computer

Quan

Liu

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“…One in particular is by Liu et al [47]. This work presents a practical thermal aware scheduling algorithm to optimize its throughput under a given temperature constraint.…”

Section: Practical Hardware Testbedmentioning

confidence: 99%