Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data-Reference-Cited by-同舟云学术

Analyzing the Impact of Lossy Data Reduction on Volume Rendering of Cosmology Data

Published:2022-11 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/ACM 8th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD)
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Author:

Wang Jinzhen¹,Grosset Pascal²^ORCID,Turton Terece L.²^ORCID,Ahrens James³^ORCID

Affiliation:

1. New Jersey Institute of Technology,Department of Electrical and Computer Engineering,New Jersey,USA

2. Information Sciences Los Alamos National Laboratory,Los Alamos,USA

3. Information Science & Technology Institute Los Alamos National Laboratory,Los Alamos,USA

Funder

U.S. Department of Energy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10025414/10025469/10025484.pdf?arnumber=10025484

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5. Tthresh: Tensor com-pression for multidimensional visual data;ballester-ripoll;IEEE Transaction on Visualization and Computer Graphics,2019

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