Search for dissertations about: "task scheduling"
Showing result 6 - 10 of 99 swedish dissertations containing the words task scheduling.
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6. Improving Performance and Quality-of-Service through the Task-Parallel Model : Optimizations and Future Directions for OpenMP
Abstract : With the failure of Dennard's scaling, which stated that shrinking transistors will be more power-efficient, computer hardware has today become very divergent. Initially the change only concerned the number of processor on a chip (multicores), but has today further escalated into complex heterogeneous system with non-intuitive properties -- properties that can improve performance and power consumption but also strain the programmer expected to develop on them. READ MORE
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7. Cooperative user- and system-level scheduling of task-centric parallel programs
Abstract : Emerging architecture designs include tens of processing cores on a single chip die; it is believed that the number of cores will reach the hundreds in not so many years from now. However, most common workloads cannot expose fluctuating parallelism, insufficient to utilize such systems. READ MORE
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8. Effective cooperative scheduling of task-parallel applications on multiprogrammed parallel architectures
Abstract : Emerging architecture designs include tens of processing cores on a single chip die; it is believed that the number of cores will reach the hundreds in not so many years from now. However, most common parallel workloads cannot fully utilize such systems. READ MORE
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9. Preemption-Delay Aware Schedulability Analysis of Real-Time Systems
Abstract : Schedulability analysis of real-time systems under preemptive scheduling may often lead to false-negative results, deeming a schedulable taskset being unschedulable. This is the case due to the inherent over-approximation of many time-related parameters such as task execution time, system delays, etc. 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