Proceedings of the 16th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2021F68

Citation: Proceedings of the 16th Conference on Computer Science and Intelligence Systems, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 25, pages 283–290 (2021)

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Abstract. Spatial raster data are a valuable resource in various domains. However, processing growing volumes of such data is a challenge in terms of performance and energy efficiency trade-off. Neighborhood raster algorithms are an important part of many geospatial analyses. In our work, we concentrate on vectorization and parallelization to improve the performance of the slope calculation algorithm.  We study the impact of these optimizations on energy efficiency using RAPL. We tested our vector-parallel implementations on a multi-core computer for various data sizes. The results showed that optimization towards high performance can also be an effective strategy for improving energy efficiency.

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