Accelerating In-Transit Co-Processing for Scientific Simulations Using Region-Based Data-Driven Analysis

Increasing processing capabilities and input/output constraints of supercomputers have increased the use of co-processing approaches, i.e., visualizing and analyzing data sets of simulations on the fly. We present a method that evaluates the importance of different regions of simulation data and a d...

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Bibliographic Details

Published in:	Algorithms Vol. 14; no. 5; p. 154
Main Authors:	Walldén, Marcus, Okita, Masao, Ino, Fumihiko, Drikakis, Dimitris, Kokkinakis, Ioannis
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.05.2021
Subjects:	co-processing Data analysis Data compression Datasets Fluid mechanics in-transit Methods parallel computing Performance evaluation Richtmeyer-Meshkov instability Simulation Supercomputers Visualization
ISSN:	1999-4893, 1999-4893
Online Access:	Get full text
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