Affiliation:
1. University of Heidelberg, Germany
Abstract
Parallel processing methods in Geographic Information Systems (GIS) are traditionally used to accelerate the calculation of large data volumes with sophisticated spatial algorithms. Such kinds of acceleration can also be applied to provide real-time GIS applications to improve the responsiveness of user interactions with the data. This paper presents a method to enable this approach for Web GIS applications. It uses the JavaScript 3D graphics API (WebGL) to perform client-side parallel real-time computations of 2D or 2.5D spatial raster algorithms on the graphics card. The potential of this approach is evaluated using an example implementation of a hillshade algorithm. Performance comparisons of parallel and sequential computations reveal acceleration factors between 25 and 100, mainly depending on mobile or desktop environments.
Reference28 articles.
1. AMD. (n.d.). AMD Accelerated Parallel Processing (APP) SDK (formerly ATI Stream). Retrieved July 9, 2012, from http://developer.amd.com/sdks/AMDAPPSDK/Pages/default.aspx
2. Beutel, A., Mølhave, T., & Agarwal, P. K. (2010). Natural neighbor interpolation based grid DEM construction using a GPU. In Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems (pp. 172-181). New York, NY: ACM.
3. Boesch, F. (n.d.). WebGL stats. Retrieved June 18, 2012, from http://webglstats.com
4. Caniuse. (2012).When can I use WebGL? Retrieved June 18, 2012, from http://caniuse.com/webgl
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献