Search for dissertations about: "DVFS"
Showing result 6 - 10 of 16 swedish dissertations containing the word DVFS.
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6. Energy Efficient Task Mapping and Resource Management on Multi-core Architectures
Abstract : Reducing energy consumption of parallel applications executing on chip multi- processors (CMPs) is important for green computing. Hardware vendors have been developing a variety of system features to support energy efficient computing, for example, integrating asymmetric core types on a single chip referred to as static asymmetry and supporting dynamic voltage and frequency scaling (DVFS) referred to as dynamic asymmetry. READ MORE
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7. Techniques to Improve Energy Efficiency on Heterogeneous Multiprocessors under Timing and Quality Constraints
Abstract : Traditionally, applications are executed without the notion of a computational deadline and often use all available system resources, which leads to higher energy consumption. User specification of Quality of Service (QoS) constraints, in terms of completion time and solution quality, opens up for allocation of just enough resources to an application to finish just in time and thereby save energy. READ MORE
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8. Dynamic Management of Multi-Core Processor Resources to Improve Energy Efficiency under Quality-of-Service Constraints
Abstract : With the current technology trends, the number of computers and computation demand is increasing dramatically. In addition to different economic and environmental costs at a large scale, the operational time of battery-powered devices is dependent on how efficiently the computer processors consume energy. READ MORE
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9. QoS Driven Coordinated Management of Resources to Save Energy in Multi-Core Systems
Abstract : Reducing the energy consumption of computing systems is a necessary endeavor. However, saving energy should not come at the expense of degrading user experience. To this end, in this thesis, we assume that applications running on multi-core processors are associated with a quality-of-service (QoS) target in terms of performance constraints. READ MORE
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10. Adaptive Task Scheduling and Resource Management Techniques for Improving Energy Efficiency on Multi-core Systems
Abstract : The growing impact of energy on operational cost and system robustness becomes a strong motivation for improving energy efficiency in parallel computing systems, in addition to performance. Hardware features such as core asymmetry and Dynamic Voltage and Frequency Scaling (DVFS) aim to provide opportunities for energy-efficient computing. READ MORE