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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Veröffentlicht in:	Algorithms Jg. 14; H. 5; S. 154
Hauptverfasser:	Walldén, Marcus, Okita, Masao, Ino, Fumihiko, Drikakis, Dimitris, Kokkinakis, Ioannis
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.05.2021
Schlagworte:	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-Zugang:	Volltext
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