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Title: GPGPU Enabled Adaptive Volume Visualization Using Commodity Game Engines

Abstract

The amount of data produced by researchers in fields like nuclear engineering, materials science, and medicine has dramatically increased in recent years. There is a growing need to analyze and visualize this data in order to derive new insights. However, creating a visualization of data that is many gigabytes in size in real time is a difficult task since most graphics processing units (GPUs) are unable to hold this much data at one time. In order to alleviate this issue, an adaptive volume visualizer has been developed that is capable of rendering large scale datasets with high levels of detail at interactive framerates.

Authors:
ORCiD logo [1]
  1. Idaho National Laboratory
Publication Date:
Research Org.:
Idaho National Lab. (INL), Idaho Falls, ID (United States)
Sponsoring Org.:
Idaho National Lab Org. B-320
OSTI Identifier:
1484673
Report Number(s):
INL/MIS-18-46133-Rev000
DOE Contract Number:  
AC07-05ID14517
Resource Type:
Conference
Resource Relation:
Conference: INL Intern EXPO, Idaho Falls, 08/09/2018 - 08/09/2018
Country of Publication:
United States
Language:
English
Subject:
97 - MATHEMATICS AND COMPUTING; Volume Rendering; GPGPU

Citation Formats

Sterbentz, Marko. GPGPU Enabled Adaptive Volume Visualization Using Commodity Game Engines. United States: N. p., 2018. Web.
Sterbentz, Marko. GPGPU Enabled Adaptive Volume Visualization Using Commodity Game Engines. United States.
Sterbentz, Marko. Thu . "GPGPU Enabled Adaptive Volume Visualization Using Commodity Game Engines". United States. https://www.osti.gov/servlets/purl/1484673.
@article{osti_1484673,
title = {GPGPU Enabled Adaptive Volume Visualization Using Commodity Game Engines},
author = {Sterbentz, Marko},
abstractNote = {The amount of data produced by researchers in fields like nuclear engineering, materials science, and medicine has dramatically increased in recent years. There is a growing need to analyze and visualize this data in order to derive new insights. However, creating a visualization of data that is many gigabytes in size in real time is a difficult task since most graphics processing units (GPUs) are unable to hold this much data at one time. In order to alleviate this issue, an adaptive volume visualizer has been developed that is capable of rendering large scale datasets with high levels of detail at interactive framerates.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {8}
}

Conference:
Other availability
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