First Considerations in Computing and Using Hypersurface Curvature for Energy Efficiency

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.