2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2016 Help me understand this report
Atomic-free optimization on GPU based SAR raw data simulation
Search citation statements
Paper Sections
Select...
1
Citation Types
0
1
0
Year Published
2017
2019
Publication Types
Select...
1
1
Relationship
0
2
Authors
Journals
Cited by 2 publications
(1 citation statement)
References 5 publications
0
1
0
“…A parallel implementation of SAR imaging on GPU is proposed in [9], which obtains a speedup of 31.72. In [10], SAR raw data simulation is optimised on a GPU platform.…”
Section: Introductionmentioning
confidence: 99%
“…A parallel implementation of SAR imaging on GPU is proposed in [9], which obtains a speedup of 31.72. In [10], SAR raw data simulation is optimised on a GPU platform.…”
Section: Introductionmentioning
confidence: 99%
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
