14299

Comparison between GPU and parallel CPU optimizations in viewshed analysis

Tobias Axell, Mattias Friden
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}

}

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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.
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