We present output-sensitive scalable parallel algorithms for bichromatic line segment intersection problems for the Coarse Grained Multicomputer model. Under the assumption that n ≥ p2, where n is the number of line segments and p the number of processors, we obtain an intersection counting algorithm with a time complexity of (Formula Presented), where Ts(m,p) is the time used to sort m items on a p processor machine. An additional (Formula Presented) time is spent on the reporting of the k intersections. As the sequential complexity is O(n log n) and O(k) for counting and reporting, respectively, we obtain a speedup of (Formula Presented).
CITATION STYLE
Devillers, O., & Fabri, A. (1993). Scalable algorithms for bichromatic line segment intersection problems on coarse grained multicomputers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 709 LNCS, pp. 277–288). Springer Verlag. https://doi.org/10.1007/3-540-57155-8_255
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