Publication | Open Access
Las Vegas is better than determinism in VLSI and distributed computing (Extended Abstract)
138
Citations
5
References
1982
Year
Unknown Venue
Circuit ComplexityComputational Complexity TheoryEngineeringComputer ArchitectureNondeterministic ComputationsComputational ComplexityCommunication ComplexityDistributed Data ProcessingSupercomputer ArchitectureFormal VerificationHardware SecurityLas VegasExtended AbstractDiscrete MathematicsParallel ComputingNext Generation ComputingLower BoundComputer EngineeringComputer ScienceDistributed ProcessingDeterministic ComputationsDistributed ComputingFormal MethodsTime ComplexityLower Bounds
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 f (the complement of f, f = 1 - f) have efficient nondeterministic chips then the known techniques are of no help for proving lower bounds on the complexity of deterministic chips.
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