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ThesisCS_JiaqiZhang_VersionApr5.pdf (6.18 MB)
ETD Abstract Container
Abstract Header
Accelerating and Predicting Map Projections with CUDA and MLP
Author Info
Zhang, Jiaqi
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=osu1523394255002174
Abstract Details
Year and Degree
2018, Master of Science, Ohio State University, Computer Science and Engineering.
Abstract
We provide a precise mathematical definition of map distortion, and introduce three strategies for finding the best oblique map projections, having the same distortion properties as their normal aspect counterparts on earth regions, that have minimal distortion for certain specific regions of the earth (namely, regions whose boundary consists of one or two parallels of latitude). We use heap map to visualize the distortion of several unusually shaped countries under particular oblique projection applying our strategies, and then optimize the time efficiency of original sequential executed programs with CUDA, a GPU parallel computation method, impressively.
Committee
Han-wei Shen (Advisor)
yusu Wang (Committee Member)
Pages
73 p.
Subject Headings
Computer Science
;
Geographic Information Science
Keywords
CUDA
;
MLP
;
Projection
;
Neural Network
;
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Citations
Zhang, J. (2018).
Accelerating and Predicting Map Projections with CUDA and MLP
[Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523394255002174
APA Style (7th edition)
Zhang, Jiaqi.
Accelerating and Predicting Map Projections with CUDA and MLP.
2018. Ohio State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=osu1523394255002174.
MLA Style (8th edition)
Zhang, Jiaqi. "Accelerating and Predicting Map Projections with CUDA and MLP." Master's thesis, Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1523394255002174
Chicago Manual of Style (17th edition)
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Document number:
osu1523394255002174
Download Count:
404
Copyright Info
© 2018, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.