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Performance, power, and energy of in-situ and post-processing visualization
Author(s) -
Vignesh Adhinarayanan
Publication year - 2015
Language(s) - English
Resource type - Reports
DOI - 10.2172/1222685
Subject(s) - in situ , visualization , computer science , energy (signal processing) , power (physics) , artificial intelligence , chemistry , physics , mathematics , statistics , organic chemistry , quantum mechanics
The goal of this project was to "study the performance, power, and energy trade-offs among traditional post-processing, modern post-processing, and in-situ visualization pipelines."

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