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On notions of information transfer in VLSI circuits

Published: 01 December 1983 Publication History

Abstract

Several papers have recently dealt with techniques for proving area-time lower bounds for VLSI computation by “crossing sequence” methods. A number of natural questions are raised by these definitions.
1.Is the fooling set approach the most powerful way to get information-transfer-based lower bounds? We shall show it is not, and offer a candidate for the title “most powerful.” Of course, without a precise definition of “information transfer argument,” there could be other contenders.
2.Are the notions of the three papers cited equivalent? We shall exhibit certain inequivalences among the three notions, although open questions remain. However, we can resolve an open question of Papadimitriou and Sipser [PS] concerning the relationship between nondeterministic and deterministic communication complexity.

References

[1]
Kedem, Z. M., "Optimal allocation of computational resources in VLSI," Proc. Twenty-Third Annual IEEE Symposium on Foundations of Computer Science, pp. 379-386, 1982.
[2]
Lipton, R. J. and R. Sedgewick, "Lower bounds for VLSI," Proc. Thirteenth Annual ACM Symposium on the Theory of Computing, pp. 300-307, 1981.
[3]
Melhorn, K. and E. M. Schmidt, "Las Vegas is better than determinism in VLSI and distributed computing," Proc. Fourteenth Annual ACM Symposium on Theory of Computing, pp. 330-337, 1982.
[4]
Orlin, J., "Contentment in graph theory: covering graphs with cliques," Proc. Koninklijke Nederlandse Akademie van Wetenschappen, Amsterdam series A 80:5, pp. 406-424, 1977.
[5]
Papadimitriou, C. H. and M. Sipser, "Communication complexity," Proc. Fourteenth Annual ACM Symposium on the Theory of Computing, pp. 196-200, 1982.
[6]
Savage, J. E., "Planar circuit complexity and the performance of VLSI algorithms," in Kung, Sproull, and Steele (eds.), VLSI Systems and Computations, Computer Science Press, Rockville, Md., 1981.
[7]
Thompson, C. D., "Area-time complexity for VLSI," Proc. Eleventh Annual ACM Symposium on Theory of Computing, pp.81-88, 1979.
[8]
Vuillemin, J. E., "A combinatorial limit to the computing power of VLSI circuits," Proc. Twenty-First Annual IEEE Symposium on Foundations of Computer Science, pp. 294-300, 1980.
[9]
Yao, A. C., "The entropic limitations of VLSI computations," Proc. Thirteen Annual ACM Symposium on the Theory of Computing, pp. 308-311, 1981.
[10]
Yao, A. C., "Some complexity questions related to distributive computing," Proc. Eleventh Annual ACM Symposium on the Theory of Computing, pp. 209-213, 1979.

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cover image ACM Conferences
STOC '83: Proceedings of the fifteenth annual ACM symposium on Theory of computing
December 1983
487 pages
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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 1983

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