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Showing 1 to 4 of 4 for “"concurrency throttling"”.

  1. Prediction Models for Multi-dimensional Power-Performance Optimization on Many Cores

    … 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 DVFS and DCT in performance-constrained systems, and, to the …

    vt Repository record for Prediction Models for Multi-dimensional Power-Performance Optimization on Many Cores (opens in a new tab)

  2. Modeling and Runtime Systems for Coordinated Power-Performance Management

    … different system components and scale of concurrency. In this dissertation, we focus on three throttling techniques: CPU dynamic voltage and frequency scaling (DVFS), dynamic memory throttling (DMT), and dynamic concurrency throttling (DCT). We first conduct an empirical analysis of the …

    vt Repository record for Modeling and Runtime Systems for Coordinated Power-Performance Management (opens in a new tab)

  3. Improving the Efficiency of Parallel Applications on Multithreaded and Multicore Systems

    … for identifying efficient operating points of concurrency in multithreaded scientific applications in terms 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 …

    vt Repository record for Improving the Efficiency of Parallel Applications on Multithreaded and Multicore Systems (opens in a new tab)

  4. Scalable and Energy Efficient Execution Methods for Multicore Systems

    Multicore architectures impose great pressure on resource management. The exploration spaces available for resource management increase explosively, especially for large-scale high end computing systems. The availability of abundant parallelism causes scalability concerns at all levels. Multicore …

    vt Repository record for Scalable and Energy Efficient Execution Methods for Multicore Systems (opens in a new tab)