Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 7 of 7 for “"power aware computing"”.
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Evaluating the Impact of GPU Frequency Tuning and Power Capping on Performance and Efficiency
SUMMARY High-Performance Computing (HPC) systems play a pivotal role in modern scientific and en- gineering advancements. However, the increasing demand for computational power comes with significant energy consumption challenges. This thesis investigates the impact of GPU fre- quency tuning and …
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Power, Performance and Energy Models and Systems for Emergent Architectures
… and heterogeneity in high-performance computing (HPC) systems form a barrier to efficient application and architecture design. The performance achievements of the past must continue over the next decade to address the needs of scientific simulations. However, building an exascale system …
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Scalable and Energy Efficient Execution Methods for Multicore Systems
… explosively, especially for large-scale high end computing systems. The availability of abundant parallelism causes scalability concerns at all levels. Multicore architectures also impose pressure on power management. Growth in the number of cores causes continuous growth in power. In this …
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Improving the Efficiency of Parallel Applications on Multithreaded and Multicore Systems
… of both performance as a primary objective and power secondarily. We also present a runtime system that uses live analysis of hardware event rates through the prediction model to optimize applications dynamically. We discuss a dynamic, phase-aware performance prediction model (DPAPP), which …
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Prediction Models for Multi-dimensional Power-Performance Optimization on Many Cores
Power has become a primary concern for HPC systems. Dynamic voltage and frequency scaling (DVFS) and dynamic concurrency throttling (DCT) are two software tools (or knobs) for reducing the dynamic power consumption of HPC systems. To date, few works have considered the synergistic integration of …
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Power Saving Analysis and Experiments for Large Scale Global Optimization
Green computing, an emerging field of research that seeks to reduce excess power consumption in high performance computing (HPC), is gaining popularity among researchers. Research in this field often relies on simulation or only uses a small cluster, typically 8 or 16 nodes, because of the lack of …
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Energy-aware Thread and Data Management in Heterogeneous Multi-Core, Multi-Memory Systems
… out memory capacity while maintaining reasonable power use. I present a new memory controller design that combines the best aspects of two baseline heterogeneous page management policies to migrate data between two heterogeneous memories so as to optimize performance and energy.