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  • 1.
    Bao, Min
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    System-Level Techniques for Temperature-Aware Energy Optimization2010Licentiatavhandling, monografi (Annet vitenskapelig)
    Abstract [en]

    Energy consumption has become one of the main design constraints in today’s integrated circuits. Techniques for energy optimization, from circuit-level up to system-level, have been intensively researched.

    The advent of large-scale integration with deep sub-micron technologies has led to both high power densities and high chip working temperatures. At the same time, leakage power is becoming the dominant power consumption source of circuits, due to continuously lowered threshold voltages, as technology scales. In this context, temperature is an important parameter. One aspect, of particular interest for this thesis, is the strong inter-dependency between leakage and temperature. Apart  from leakage power, temperature also has an important impact on circuit delay and, implicitly, on the frequency, mainly through its influence on carrier mobility and threshold voltage. For power-aware design techniques, temperature has become a major factor to be considered. In this thesis, we address the issue of system-level energy optimization for real-time embedded systems taking temperature aspects into consideration.

    We have investigated two problems in this thesis: (1) Energy optimization via temperature-aware dynamic voltage/frequency scaling (DVFS). (2) Energy optimization through temperature-aware idle time (or slack) distribution (ITD). For the above two problems, we have proposed off-line techniques where only static slack is considered. To further improve energy efficiency, we have also proposed online techniques, which make use of both static and dynamic slack. Experimental results have demonstrated that considerable improvement of the energy efficiency can be achieved by applying our temperature-aware optimization techniques. Another contribution of this thesis is an analytical temperature analysis approach which is both accurate and sufficiently fast to be used inside an energy optimization loop.

  • 2.
    Bao, Min
    et al.
    Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska högskolan.
    Andrei, Alexandru
    Ericsson, Linköping.
    Eles, Petru Ion
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Peng, Zebo
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    On-line Thermal Aware Dynamic Voltage Scaling for Energy Optimization with Frequency/Temperature Dependency Consideration2009Inngår i: DAC '09 Proceedings of the 46th Annual Design Automation Conference, IEEE Computer Society, 2009, s. 490-495Konferansepaper (Fagfellevurdert)
    Abstract [en]

    With new technologies, temperature has become a major issue to be considered at system level design. Without taking temperature aspects into consideration, no approach to energy or/and performance optimization will be sufficiently accurate and efficient. In this paper we propose an on-line temperature aware dynamic voltage and frequency scaling (DVFS) technique which is able to exploit both static and dynamic slack. The approach implies an offline temperature aware optimization step and on-line voltage/frequency settings based on temperature sensor readings. Most importantly, the presented approach is aware of the frequency/temperature dependency, by which important additional energy savings are obtained.

  • 3.
    Bao, Min
    et al.
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Andrei, Alexandru
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Eles, Petru Ion
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Peng, Zebo
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Temperature-Aware Task Mapping for Energy Optimization with Dynamic Voltage Scaling2008Inngår i: 11th IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems, 2008, IEEE Computer Society, 2008, s. 44-49Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Temperature has become an important issue in nowadays MPSoCs design due to the ever increasing power densities and huge energy consumption. This paper proposes a temperature-aware task mapping technique for energy optimization in systems with dynamic voltage selection capability. It evaluates the efficiency of this technique, based on the analysis of the factors that can influence the potential gains that can be expected from such a technique, compared to a task mapping approach that ignores temperature.

  • 4.
    Bao, Min
    et al.
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Andrei, Alexandru
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Eles, Petru Ion
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Peng, Zebo
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Temperature-Aware Voltage Selection for Energy Optimization2008Inngår i: Design, Automation and Test in Europe, 2008, IEEE , 2008, s. 1083-1086Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper proposes a temperature-aware dynamic voltage selection technique for energy minimization and presents a thorough analysis of the parameters that influence the potential gains that can be expected from such a technique, compared to a voltage selection approach that ignores temperature.

  • 5.
    Bao, Min
    et al.
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Andrei, Alexandru
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Eles, Petru
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Peng, Zebo
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    An Energy Efficient Technique for Temperature-Aware Voltage Selection2009Rapport (Annet vitenskapelig)
    Abstract [en]

    High power densities in current SoCs result in both huge energy consumption and increased chip temperature. This paper proposes a temperature-aware dynamic voltage selection technique for energy minimization and presents a thorough analysis of the parameters that influence the potential gains that can be expected from such a technique, compared to a voltage selection approach that ignores temperature. In addition to demonstrating the actual percentages of energy that can be saved by being temperature aware, we explore some significant issues in this context, such as the relevance of taking into consideration transient temperature effects at optimization, the impact of the percentage of leakage power relative to the total power consumed and of the degree to which leakage depends on temperature.

  • 6.
    Bao, Min
    et al.
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Andrei, Alexandru
    Ericsson, Linköping, Sweden.
    Eles, Petru
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Peng, Zebo
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    On-Line Temperature-Aware Idle Time Distribution for Leakage Energy Optimization2011Inngår i: 6th International Symposium on Electronic Design, Test and Applications (DELTA 2011), Queenstown, New Zealand, January 17-19, 2011., 2011Konferansepaper (Fagfellevurdert)
    Abstract [en]

    With new technologies, temperature has becomean important issue to be considered at system level design. Inthis paper, we address the issue of leakage energy optimizationthrough temperature aware idle time distribution (ITD). Wepropose an on-line ITD technique for leakage energy consumptionminimization, where both static and dynamic idle timeare considered. Experimental results have demonstrated that animportant amount of leakage energy reduction can be achievedby applying our ITD techniques.

  • 7.
    Bao, Min
    et al.
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Andrei, Alexandru
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Ion Eles, Petru
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Peng, Zebo
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Temperature-aware idle time distribution for energy optimization with dynamic voltage scaling2010Inngår i: Proceedings -Design, Automation and Test in Europe, DATE, IEEE , 2010, s. 21-26Konferansepaper (Fagfellevurdert)
    Abstract [en]

    With new technologies, temperature has become a major issue to be considered at system level design. In this paper we propose a temperature aware idle time distribution technique for energy optimization with dynamic voltage scaling (DVS). A temperature analysis approach is also proposed which is accurate and, yet, sufficiently fast to be used inside the optimization loop for idle time distribution and voltage selection.

  • 8.
    Bao, Min
    et al.
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Andrei, Alexandru
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Ion Eles, Petru
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Peng, Zebo
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Temperature-Aware Idle Time Distribution for Leakage Energy Optimization2012Inngår i: IEEE Transactions on Very Large Scale Integration (vlsi) Systems, ISSN 1063-8210, E-ISSN 1557-9999, Vol. 20, nr 7, s. 1187-1200Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Large-scale integration with deep sub-micron technologies has led to high power densities and high chip working temperatures. At the same time, leakage energy has become the dominant energy consumption source of circuits due to reduced threshold voltages. Given the close interdependence between temperature and leakage current, temperature has become a major issue to be considered for power-aware system level design techniques. In this paper, we address the issue of leakage energy optimization through temperature aware idle time distribution (ITD). We first propose an offline ITD technique to optimize leakage energy consumption, where only static idle time is distributed. To account for the dynamic slack, we then propose an online ITD technique where both static and dynamic idle time are considered. To improve the efficiency of our ITD techniques, we also propose an analytical temperature analysis approach which is accurate and, yet, sufficiently fast to be used inside the energy optimization loop.

  • 9.
    Ukhov, Ivan
    et al.
    Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska högskolan.
    Bao, Min
    Linköpings universitet, Institutionen för datavetenskap, ESLAB - Laboratoriet för inbyggda system. Linköpings universitet, Tekniska högskolan.
    Eles, Petru Ion
    Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska högskolan.
    Peng, Zebo
    Linköpings universitet, Institutionen för datavetenskap, Programvara och system. Linköpings universitet, Tekniska högskolan.
    Steady-State Dynamic Temperature Analysis and Reliability Optimization for Embedded Multiprocessor Systems2012Inngår i: 49th ACM/EDAC/IEEE Design Automation Conference (DAC), 3-7 June 2012, San Francisco, ACM/ IEEE , 2012, s. 197-204Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In this paper we propose an analytical technique for the steady-state dynamic temperature analysis (SSDTA) of multiprocessor systems with periodic applications. The approach is accurate and, moreover, fast, such that it can be included inside an optimization loop for embedded system design. Using the proposed solution, a temperature-aware reliability optimization, based on the thermal cycling failure mechanism, is presented. The experimental results con firm the quality and speed of our SSDTA technique, compared to the state of the art. They also show that the lifetime of an embedded system can significantly be improved, without sacrificing its energy efficiency, by taking into consideration, during the design stage, the steady-state dynamic temperature profile of the system.

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