High Performance Computing for gravitational lens modeling: Single vs double precision on GPUs and CPUs

Strong gravitational lensing is a powerful probe of cosmology and the dark matter distribution. Efficient lensing software is already a necessity to fully use its potential and the performance demands will only increase with the upcoming generation of telescopes. In this paper, we present a proof-of...

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Veröffentlicht in:	Astronomy and computing Jg. 30; S. 100340
Hauptverfasser:	Rexroth, M., Schäfer, C., Fourestey, G., Kneib, J.-P.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.01.2020
Schlagworte:	Applied computing: Physical sciences and engineering: Astronomy Computing methodologies: Parallel computing methodologies: Parallel algorithms: Massively parallel algorithms Dark matter Galaxies: clusters: general Galaxies: halos Gravitational lensing Galaxies: clusters: general Gravitational lensing Computing methodologies: Parallel computing methodologies: Parallel algorithms: Massively parallel algorithms Galaxies: halos Dark matter Applied computing: Physical sciences and engineering: Astronomy
ISSN:	2213-1337, 2213-1345
Online-Zugang:	Volltext
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