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Extended graph connectivity and its gradually increasing parallel complexity

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Algorithms and Computation (ISAAC 1994)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 834))

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Abstract

α-connectivity is a graph problem whose complexity gradually increases as the single parameter α grows. It is known that (i) α-connectivity is in NCt when α=c(logn)t−2/2, and (ii) it is P-complete when α=cne. Unfortunately, the above (i) is only a result on increasing upper bounds. In this paper, we give more reasonable and stronger evidence that the complexity of α-connectivity really increases gradually as α grows. It is shown that α-connectivity can simulate gradually larger-size circuits as α grows. If at most α−1 gates in each level of the circuit can have value 1, then α-connectivity can simulate gradually larger-depth circuits. We finally show evidence suggesting that these simulating powers of α-connectivity are best possible.

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References

  1. Cheriyan, J. and Thurimella, R.: Algorithms for parallel k-vertex connectivity and sparse certificates. Proc. 20th ACM Symp. on Theory of Computing (1991) 391–401

    Google Scholar 

  2. Cook, S. A.: A taxonomy of problems with fast parallel algorithms. Inform. and Control 64, (1985) 2–22

    Article  Google Scholar 

  3. Iwamoto, C. and Iwama, I.: On Gradually Unparallelizable Graph Problems, Technical Report, 93C-12, Kyushu Univ., Fukuoka (1993)

    Google Scholar 

  4. Johnson, D. S.: A catalog of complexity classes. Handbook of Theoretical Computer Science (J. van Leeuwen, ed.). Vol. A, 68–161, MIT Press, Amsterdam (1990)

    Google Scholar 

  5. Karp, R. M. and Ramachandran, V.: Parallel algorithms for shared-memory machines. Handbook of Theoretical Computer Science (J. van Leeuwen, ed.). Vol. A, 869–941, MIT Press, Amsterdam (1990)

    Google Scholar 

  6. Karp, R. M., Upfal, E. and Wigderson, A.: Constructing a perfect matching is in Random NC. Combinatorica 6 1 (1986) 35–48

    Google Scholar 

  7. Khuller, S. and Schieber, B.: Efficient parallel algorithms for testing k-connectivity and finding disjoint s-t paths in graphs. SIAM J. Comput. 20 2 (1991) 352–375

    Google Scholar 

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Ding-Zhu Du Xiang-Sun Zhang

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© 1994 Springer-Verlag Berlin Heidelberg

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Iwamoto, C., Iwama, K. (1994). Extended graph connectivity and its gradually increasing parallel complexity. In: Du, DZ., Zhang, XS. (eds) Algorithms and Computation. ISAAC 1994. Lecture Notes in Computer Science, vol 834. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58325-4_214

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  • DOI: https://doi.org/10.1007/3-540-58325-4_214

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58325-7

  • Online ISBN: 978-3-540-48653-4

  • eBook Packages: Springer Book Archive

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