Abstract
We present a novel implementation of the visualization code Splotch1, exploiting optimized atomic operations of modern GPU hardware found in today's heterogeneous supercomputers, and show its application to the visualization of mock galaxy catalogues for the Dark Energy Survey (DES)2. These mock catalogues are generated by numerical simulation codes producing results which can then be directly compared with observations or validated against other models. As use case we compare a catalogue based on the L-PICOLA3 code with the MICE4 catalogue for DES. We present and discuss the potentiality of our optimized visualization algorithm as a debugging tool for L-PICOLA, in particular focusing on gaining rapidly an insight into potential anomalies on large scales and aiding in planning of appropriate remediation measures.
Original language | English |
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Title of host publication | Astronomical Data Analysis Software and Systems XXV |
Editors | N. P. F. Lorente, K. Shortbridge, R. Wayth |
Publisher | Astronomical Society of the Pacific |
Pages | 491-494 |
Number of pages | 4 |
ISBN (Electronic) | 978-1-58381-909-8 |
ISBN (Print) | 978-1-58381-908-1 |
Publication status | Published - 1 Jan 2017 |
Event | ADASS XXV: The 25th Annual ADASS Conference - Sydney, Australia Duration: 25 Oct 2015 → 29 Oct 2015 http://www.caastro.org/event/2015-adass http://www.caastro.org/event/2015-adass |
Publication series
Name | ASP Conference Series |
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Publisher | Astronomical Society of the Pacific |
Volume | 512 |
Conference
Conference | ADASS XXV |
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Country/Territory | Australia |
City | Sydney |
Period | 25/10/15 → 29/10/15 |
Internet address |