Adopting GPU computing to support DL-based Earth science applications-Reference-Cited by-同舟云学术

Adopting GPU computing to support DL-based Earth science applications

Published:2023-07-11 Issue:1 Volume:16 Page:2660-2680
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Wang Zifu¹^ORCID,Li Yun¹^ORCID,Wang Kevin²,Cain Jacob¹,Salami Mary³^ORCID,Duffy Daniel Q.⁴,Little Michael M.⁴,Yang Chaowei¹^ORCID

Affiliation:

1. Department of Geography and Geoinformation Science, NSF Spatiotemporal Innovation Center, George Mason University, Fairfax, VA, USA

2. Department of Electrical Engineering and Computer Science, University of California, Berkeley, CA, USA

3. Department of Geography, University of California Santa Barbar, Goleta, CA, USA

4. NASA Goddard, Computational and Information Sciences and Technology Office, Greenbelt, MD, USA

Funder

NSF

NASA

AIST

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/17538947.2023.2233488

Reference50 articles.

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2. Towards Scalable and GPU Accelerated Earth Science Imagery Processing: An AI/ML Case Study;Caraballo-Vega Jordan;AGU Fall Meeting Abstracts,2021

3. Parallel algorithm for viewshed analysis on a modern GPU

4. A performance study of general-purpose applications on graphics processors using CUDA

5. ChangeNet

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