Spectral turning bands for efficient Gaussian random fields generation on GPUs and accelerators-Reference-Cited by-同舟云学术

Spectral turning bands for efficient Gaussian random fields generation on GPUs and accelerators

Published:2015-05-28 Issue:16 Volume:27 Page:4122-4136
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency Computat.: Pract. Exper.

Author:

Hunger Lars¹²,Cosenza Biagio³⁴,Kimeswenger Stefan²⁵,Fahringer Thomas⁴

Affiliation:

1. BrainLinks-Braintools; University of Freiburg; Germany

2. Institute for Astro- and Particle Physics; University of Innsbruck; Austria

3. Department of Computer Engineering and Microelectronics; Technische Universität Berlin; Germany

4. Institute of Computer Science; University of Innsbruck; Austria

5. Instituto de Astronomía; Universidad Católica del Norte Antofagasta; Chile

Funder

FWF Doctoral School CIM Computational Modelling

Österreichische Forschungsförderungsgesellschaft

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference31 articles.

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2. Kofler K Steinhauser D Cosenza B Grasso I Schindler S Fahringer T Kd-tree based N-body simulations with volume-mass heuristic on the GPU Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC)

3. Stone J Direct numerical simulations of compressible magnetohydrodynamical turbulence interstellar turbulence 267 Puebla, Mexico 1999

4. Geostatistics

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