Comparison between GPU and parallel CPU optimizations in viewshed analysis

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dc.contributor.authorAxell, Tobias
dc.contributor.authorFridén, Mattias
dc.contributor.departmentChalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)sv
dc.contributor.departmentChalmers University of Technology / Department of Computer Science and Engineering (Chalmers)en
dc.date.accessioned2019-07-03T13:45:18Z
dc.date.available2019-07-03T13:45:18Z
dc.date.issued2015
dc.description.abstractParallel CPU implementations of a viewshed algorithm using both multithreading and SIMD vectorization and GPU implementations were implemented and compared in this study. The results show that parallelism is essential for achieving good performance on a CPU, and that data transfer can be partly overlapped by computations to hide some of the overheads in GPU implementations. The GPU implementation was the fastest with a performance approximately 3 times faster than the parallel CPU implementation for the hardware the tests were performed on.
dc.identifier.urihttps://hdl.handle.net/20.500.12380/219740
dc.language.isoeng
dc.setspec.uppsokTechnology
dc.subjectInformations- och kommunikationsteknik
dc.subjectData- och informationsvetenskap
dc.subjectInformation & Communication Technology
dc.subjectComputer and Information Science
dc.titleComparison between GPU and parallel CPU optimizations in viewshed analysis
dc.type.degreeExamensarbete för masterexamensv
dc.type.degreeMaster Thesisen
dc.type.uppsokH
local.programmeComputer science – algorithms, languages and logic (MPALG), MSc

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