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Showing 1 to 7 of 7 for “"Hardware Optimization"”.

  1. Exploiting multiprocessor memory hierarchies for operating systems

    … presents a comprehensive characterization and optimization of the performance of multiprocessor memory hierarchies for operating systems. The operating system instruction cache misses are reduced by 81% using a code reorganization scheme tailored to the operating system, guarded sequential …

    uiuc Repository record for Exploiting multiprocessor memory hierarchies for operating systems (opens in a new tab)

  2. Characterizing the Effectiveness of Compilers in Vectorizing Polyhedrally Transformed Code

    … most of their time inside nested loops. Hence optimization of these nested loops can provide significant improvements in the speed of the program. A number of optimizations can be performed to a program in order to speed it up on a particular hardware. Optimization techniques such as Tiling, …

    ohiolink Repository record for Characterizing the Effectiveness of Compilers in Vectorizing Polyhedrally Transformed Code (opens in a new tab)

  3. Speedup of MCNP(X) parallel KCODE execution via communication algorithm development and Beowulf Cluster optimization

    … software setup required but also touches upon hardware optimization and cost. The second method is optimization of the parallel KCODE communication algorithm in MCNP. A new patch for the parallel MCNPX KCODE communication algorithm is examined. The new patch facilitates the local execution of …

    mit Repository record for Speedup of MCNP(X) parallel KCODE execution via communication algorithm development and Beowulf Cluster optimization (opens in a new tab)

  4. Bridging Machine Learning and Operations Research: From Decision-Focused Learning to Learning to Optimize

    Optimization is central to modern decision-making, with critical applications in energy systems, supply chains, transportation, and healthcare. In these domains, operators must repeatedly solve large-scale optimization problems under tight time constraints and pervasive uncertainty. For example, …

    toronto-retro Repository record for Bridging Machine Learning and Operations Research: From Decision-Focused Learning to Learning to Optimize (opens in a new tab)

  5. An energy-efficient hardware system for robust and reliable heart rate monitoring

    … algorithm or the efficiency of the underlying hardware. This thesis proposes a robust and reliable heart rate monitoring system (RRHMS), in which both algorithm accuracy and hardware efficiency are considered. As a result, algorithmic optimizations are exploited to enable further hardware

    uiuc Repository record for An energy-efficient hardware system for robust and reliable heart rate monitoring (opens in a new tab)

  6. Efficient localization methods for wireless sensor networks based on received signal strength = Metodos de localizacion eficiente para redes de sensores basados en la medida de la potencia de señal recibida

    … desde distintos puntos de vista (a nivel hardware, optimizando el encaminamiento de los datos, etc.) es un indicativo de la importancia que tiene este asunto en las redes ad hoc y en las redes de sensores. Sin embargo, pocos han sido los trabajos dedicados a estudiar el consumo de energía …

    upm Repository record for Efficient localization methods for wireless sensor networks based on received signal strength = Metodos de localizacion eficiente para redes de sensores basados en la medida de la potencia de señal recibida (opens in a new tab)