pRPL: an open-source general-purpose parallel raster processing programming library

Authors:
Qingfeng Guan
Affiliations:
University of California, Santa Barbara, CA
Venue:
SIGSPATIAL Special
Year:
2009

Citing 3
Cited 1

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Abstract

pRPL is an open-source general-purpose programming library developed by the author to parallelize almost any raster-processing algorithm with any arbitrary neighborhood configuration, and support any data type. This paper introduces the advanced features of pRPL, compares it with other similar programming libraries, and demonstrates the performance of a parallel geographic Cellular Automata (CA) model developed using pRPL with real-world datasets. In conclusion, pRPL effectively reduces the development complexity of parallel programming, and efficiently reduces the computing time.