Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Parallel algorithms for the convex hull problem in two dimensions

  • Nonnumerical Parallel Algorithms
  • Conference paper
  • First Online:
Conpar 81 (CONPAR 1981)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 111))

Included in the following conference series:

Abstract

This paper is concerned with parallel algorithms for determining the Convex Hull of N points on a plane, for a Shared Memory SIMD Computer. First, simple algorithms with read conflicts are described. It is then shown that the same bounds can be achieved with somewhat more complicated algorithms without read conflicts. The bounds achieved are: 0(N/K log N + log K .log N) for K processors, K ≤ N, which is optimal for the range 1 ≤ K ≤ N/log N, and 0(K log N) for N1+1/K processors, 1 ≤ K ≤ log N. These bounds are the same as those for parallel sorting algorithms, and any further improvement in their efficiency will imply the existence of better sorting algorithms than currently known.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Andrew, A.M. ‘Another efficient algorithm for Convex Hulls in two dimensions', Inf. Proc. Letters 9(1979) pp. 216–219.

    Article  MATH  Google Scholar 

  2. Batcher, K.E., ‘Sorting Networks and their applications', Proc. AFIPS SJCC, vol. 32, 1968, pp. 307–314.

    Google Scholar 

  3. Freeman, H., and Shapira, R. ‘Determining the minimum area incasing rectangle for an arbitrary closed curve, CACM 18, 7 (July 1975), pp. 409–413.

    MATH  MathSciNet  Google Scholar 

  4. Gavril, F. ‘Adaptive Merging by Parallel Disjoint Comparisons', presented at the 1975 Conference on Information Sciences and Systems.

    Google Scholar 

  5. Hirschberg, D.S. ‘Fast parallel sorting schemes', CACM 21, 8 (Aug. 1978), pp. 657–661.

    MATH  MathSciNet  Google Scholar 

  6. Munro, I., and Paterson, M. ‘Optimal algorithms for parallel polynomial evaluation', J. Comp. Sys. Sci. 7(1973), pp. 183–198.

    MathSciNet  Google Scholar 

  7. Nassimi, D. and Sahni, S. ‘Data Broadcasting in SIMD computers', Tech. Rep., University of Minnesota, June 1979.

    Google Scholar 

  8. Preparata, F.P. ‘New Parallel Sorting Schemes', IEEE Trans. Comp., C-27 (July 1978) pp. 669–673.

    MathSciNet  Google Scholar 

  9. Preparata, F.P. and Hong, S.J. ‘Convex Hulls of Finite Sets of Points in Two and Three Dimensions', CACM 20, 2(Feb. 1977), pp. 87–93.

    MATH  MathSciNet  Google Scholar 

  10. Preparata, F.P. ‘An Optinal Real-Time Algorithm for Planar Convex Hulls', CACM 22, 7 (July 1979), pp. 402–405.

    MATH  MathSciNet  Google Scholar 

  11. Savage, C.D. ‘Parallel algorithms for graph theoretic problems', Ph. D. Thesis, University of Illinois, Urbana, Aug. 1977.

    Google Scholar 

  12. Shamos, M.I., ‘Geometric Complexity', Proc. 7th Annual ACM Symp. on Theory of Comp., May 1975, pp. 224–233.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

W. Brauer P. Brinch Hansen D. Gries C. Moler G. Seegmüller J. Stoer N. Wirth Wolfgang Händler

Rights and permissions

Reprints and permissions

Copyright information

© 1981 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nath, D., Maheshwari, S.N., Bhatt, P.C.P. (1981). Parallel algorithms for the convex hull problem in two dimensions. In: Brauer, W., et al. Conpar 81. CONPAR 1981. Lecture Notes in Computer Science, vol 111. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0105130

Download citation

  • DOI: https://doi.org/10.1007/BFb0105130

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-10827-6

  • Online ISBN: 978-3-540-38715-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics