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Las Vegas is better than determinism in VLSI and distributed computing (Extended Abstract)
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Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the fourteenth annual ACM symposium on Theory of computing table of contents
San Francisco, California, United States
Pages: 330 - 337  
Year of Publication: 1982
ISBN:0-89791-070-2
Authors
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 1,   Downloads (12 Months): 23,   Citation Count: 36
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ABSTRACT

In this paper we describe a new method for proving lower bounds on the complexity of VLSI - computations and more generally distributed computations. Lipton and Sedgewick observed that the crossing sequence arguments used to prove lower bounds in VLSI (or TM or distributed computing) apply to (accepting) nondeterministic computations as well as to deterministic computations. Hence whenever a boolean function f is such that f and -&-fmarc; (the complement of f, -&-fmarc; -&-equil; 1 -&-minus; f) have efficient nondeterministic chips then the known techniques are of no help for proving lower bounds on the complexity of deterministic chips. In this paper we describe a lower bound technique (Thm 1) which only applies to deterministic computations



CITED BY  37
Collaborative Colleagues:
Kurt Mehlhorn: colleagues
Erik M. Schmidt: colleagues