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Article

Achieving Better Energy Efficiency in Volume Analysis and Direct Volume Rendering Descriptor Computation

by
Jacob D. Hauenstein
* and
Timothy S. Newman
*
Department of Computer Science, The University of Alabama in Huntsville, 301 Sparkman Drive, Huntsville, AL 35899, USA
*
Authors to whom correspondence should be addressed.
Computers 2024, 13(2), 51; https://doi.org/10.3390/computers13020051
Submission received: 13 January 2024 / Revised: 6 February 2024 / Accepted: 7 February 2024 / Published: 13 February 2024
(This article belongs to the Special Issue Selected Papers from Computer Graphics & Visual Computing (CGVC 2023))

Abstract

Approaches aimed at achieving improved energy efficiency for determination of descriptors—used in volumetric data analysis and one common mode of scientific visualisation—in one x86-class setting are described and evaluated. These approaches are evaluated against standard approaches for the computational setting. In all, six approaches for improved efficiency are considered. Four of them are computation-based. The other two are memory-based. The descriptors are classic gradient and curvature descriptors. In addition to their use in volume analyses, they are used in the classic ray-casting-based direct volume rendering (DVR), which is a particular application area of interest here. An ideal combination of the described approaches applied to gradient descriptor determination allowed them to to be computed with only 80% of the energy of a standard approach in the computational setting; energy efficiency was improved by a factor of 1.2. For curvature descriptor determination, the ideal combination of described approaches achieved a factor-of-two improvement in energy efficiency.
Keywords: green computing; scientific visualisation; volume visualisation; volume data analysis; energy efficiency; power estimation and optimization; software performance; curvature; gradient green computing; scientific visualisation; volume visualisation; volume data analysis; energy efficiency; power estimation and optimization; software performance; curvature; gradient

Share and Cite

MDPI and ACS Style

Hauenstein, J.D.; Newman, T.S. Achieving Better Energy Efficiency in Volume Analysis and Direct Volume Rendering Descriptor Computation. Computers 2024, 13, 51. https://doi.org/10.3390/computers13020051

AMA Style

Hauenstein JD, Newman TS. Achieving Better Energy Efficiency in Volume Analysis and Direct Volume Rendering Descriptor Computation. Computers. 2024; 13(2):51. https://doi.org/10.3390/computers13020051

Chicago/Turabian Style

Hauenstein, Jacob D., and Timothy S. Newman. 2024. "Achieving Better Energy Efficiency in Volume Analysis and Direct Volume Rendering Descriptor Computation" Computers 13, no. 2: 51. https://doi.org/10.3390/computers13020051

APA Style

Hauenstein, J. D., & Newman, T. S. (2024). Achieving Better Energy Efficiency in Volume Analysis and Direct Volume Rendering Descriptor Computation. Computers, 13(2), 51. https://doi.org/10.3390/computers13020051

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