Thermal Balancing Policy for Streaming Computing on Multiprocessor Architectures

Mulas, Fabrizio; Pittau, M.; Buttu, Marco; Carta, Salvatore; Acquaviva, Andrea; Benini, Luca; Atienza, David; Micheli, Giovanni De

doi:10.1109/date.2008.4484766

Cited by 25 publications

(39 citation statements)

References 14 publications

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“…Our results show that they reduce the impact on the system performance to a minimum as compared to previous published approaches [5], [2], [6]. The specific contributions of our work are the following:…”

Section: Introductionmentioning

confidence: 52%

“…Thus, in order to explore the HW/SW interaction, FPGA-based thermal emulators have been developed [3], [4]. The experimental work carried out in this work is also developed for an FPGA-based MPSoC emulation platform [5] that speeds up the simulation time and provides high flexibility in the thermal analysis.…”

Section: Introductionmentioning

confidence: 99%

“…• the experiments has been developed on a realistic MPSoC emulation platform [5], and the policies have been embedded in a multi-processor OS to assess its real-life task migration overheads in performance and temperature profile.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Task Migration Policies for Thermal Control in MPSoCs

Cuesta

Ayala

Hidalgo

et al. 2010

2010 IEEE Computer Society Annual Symposium on VLSI

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Abstract-In deep submicron circuits, high temperatures have created critical issues in reliability, timing, performance, coolings costs and leakage power. Task migration techniques have been proposed to manage efficiently the thermal distribution in multi-processor systems but at the cost of important performance penalties. While traditional techniques have focused on reducing the average temperature of the chip, they have not considered the effect that temperature gradients have in system reliability. In this work, we explore the benefits of thermal-aware task migration techniques for embedded multi-processor systems. We propose several policies that are able to reduce the average temperature of the chip and the thermal gradients with a negligible performance overhead. With our techniques, hot spots and temperature gradients are decreased up to 30% with respect to state-of-the-art thermal management approaches.

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Section: Introductionmentioning

confidence: 52%

Section: Introductionmentioning

confidence: 99%

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Adaptive Task Migration Policies for Thermal Control in MPSoCs

Cuesta

Ayala

Hidalgo

et al. 2010

2010 IEEE Computer Society Annual Symposium on VLSI

Self Cite

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“…Proactive cooling can be achieved by limiting the heat generation by dynamic thermal management, which can also be used to determine the heat profile inside the structure. Thermal management can operate on hardware by applying dynamic voltage/frequency scaling (DVS/DFS) [10] as well as on software by allocating active jobs to processor cores in various parts of the system, thus effecting temperature-aware load balancing [89] (Fig. 4).…”

Section: -D Integrationmentioning

confidence: 99%

An Outlook on Design Technologies for Future Integrated Systems

Micheli

2009

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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Abstract-The economic and social demand for ubiquitous and multifaceted electronic systems-in combination with the unprecedented opportunities provided by the integration of various manufacturing technologies-is paving the way to a new class of heterogeneous integrated systems, with increased performance and connectedness and providing us with gateways to the living world. This paper surveys design requirements and solutions for heterogeneous systems and addresses design technologies for realizing them.

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“…the particular case when the temperature difference between the cores is very small, and a task is constantly migrated from the hot core to the cool core), that only increases a huge amount of context switching overhead without reducing the temperature. A lot of researches have been done based on the task migration technique [36,129,30,29,131,84,33].…”

Section: Task Migrationmentioning

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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Thermal Balancing Policy for Streaming Computing on Multiprocessor Architectures

Cited by 25 publications

References 14 publications

Adaptive Task Migration Policies for Thermal Control in MPSoCs

Adaptive Task Migration Policies for Thermal Control in MPSoCs

An Outlook on Design Technologies for Future Integrated Systems

Practical Dynamic Thermal Management on Intel Desktop Computer

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