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Accelerating Vector Based Spatial Analysis by Optimizing Data Transfers

Authors
Cui, ShulinZhang, ShuqingZhang, Jun
Issue Date
Apr-2015
Publisher
IEEE
Keywords
CUDA; overlap data transfers; GPU-based
Citation
2015 2nd International Conference on Information Science and Control Engineering, pp 92 - 95
Pages
4
Indexed
SCI
SCOPUS
Journal Title
2015 2nd International Conference on Information Science and Control Engineering
Start Page
92
End Page
95
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/117851
DOI
10.1109/ICISCE.2015.29
Abstract
The main goal of this article is to discuss how to accelerate vector based spatial analysis by optimizing data transfers in CUDA C. First we give a new data transfers method based on geometry objects. Then we discuss how to overlap data transfers with computation on GPU. Furthermore we compare the new GPU-based methods with the CPU-based method by using Point-In-Polygon operation. The experimental results show that the new methods are efficient in computation.
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COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

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ZHANG, Jun
ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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