Comparison between GPU and parallel CPU optimizations in viewshed analysis
Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden
Chalmers University of Technology, 2015
@article{axell2015comparison,
title={Comparison between GPU and parallel CPU optimizations in viewshed analysis},
author={Axell, Tobias and Frid{‘e}n, Mattias},
year={2015}
}
Parallel 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.
July 24, 2015 by hgpu
