First Considerations in Computing and Using Hypersurface Curvature for Energy Efficiency

Jacob D. Hauenstein, imothy S. Newman
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Abstract

Energy consumption for computing and using hypersurface curvature in volume dataset analysis and visualization is studied here. Base usage and usage when certain optimization steps, including compiler optimizations and variant memory layout strategies, are considered for both analysis and volume visualization tasks. Focus here is on x86, which is popular and has power measurement capabilities. The work aims to advance understanding of computing"s energy footprint and to provide guidance for energy-responsible volume data analysis.
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计算和使用超曲面曲率求解能量效率的首要考虑
研究了在体数据分析和可视化中计算和使用超曲面曲率的能耗。在分析和卷可视化任务中考虑某些优化步骤(包括编译器优化和可变内存布局策略)时的基本用法和用法。这里的重点是x86,它很流行,并且具有功率测量功能。这项工作旨在促进对计算能源足迹的理解,并为能源负责的体积数据分析提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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