AbstractThe computation of Boolean functions by parallel computers with shared memory (PRAMs and WRAMs) is considered. In particular, complexity measures for parallel computers like critical and sensitive complexity are compared with other complexity measures for Boolean functions like branching program depth and length of prime implicants and clauses.The relations between these complexity measures and their asymptotic behaviour are investigated for the classes of Boolean functions, monotone functions and symmetric functions
AbstractProperties of functions that are good measures of the CRCW PRAM complexity of computing them...
This paper presents a new semantic method for proving lower bounds in computational complexity. We u...
AbstractThe computation of specific functions using the most general form of concurrent-read-concurr...
AbstractThe computation of Boolean functions by parallel computers with shared memory (PRAMs and WRA...
CREW-PRAM's are a powerful model of parallel computers. Lower bounds for this model are rather gener...
Determining time necessary for computing important functions on parallel machines is one of the most...
The time complexity of Boolean functions on abstract concurrent-read exclusive-write parallel random...
We consider a parallel random access machine (PRAM) in which information is communicated via a share...
We consider a parallel random access machine (PRAM) in which information is communicated via a share...
We investigate properties of functions that are good measures of the CRCW PRAM complexity of computi...
Bibliography: leaf 6.Research supported by the Army Research Office under contract DAAAG-29-84-K-005...
AbstractWe discuss several complexity measures for Boolean functions: certificate complexity, sensit...
AbstractWe prove that evaluating a Boolean decision tree of heighthrequiresΩ(h/(m+log*h)) time on an...
AbstractThe ROBUST PRAM is a concurrent-read concurrent-write (CRCW) parallel random access machine ...
The central focus of computational complexity theory is to measure the "hardness" of computing diffe...
AbstractProperties of functions that are good measures of the CRCW PRAM complexity of computing them...
This paper presents a new semantic method for proving lower bounds in computational complexity. We u...
AbstractThe computation of specific functions using the most general form of concurrent-read-concurr...
AbstractThe computation of Boolean functions by parallel computers with shared memory (PRAMs and WRA...
CREW-PRAM's are a powerful model of parallel computers. Lower bounds for this model are rather gener...
Determining time necessary for computing important functions on parallel machines is one of the most...
The time complexity of Boolean functions on abstract concurrent-read exclusive-write parallel random...
We consider a parallel random access machine (PRAM) in which information is communicated via a share...
We consider a parallel random access machine (PRAM) in which information is communicated via a share...
We investigate properties of functions that are good measures of the CRCW PRAM complexity of computi...
Bibliography: leaf 6.Research supported by the Army Research Office under contract DAAAG-29-84-K-005...
AbstractWe discuss several complexity measures for Boolean functions: certificate complexity, sensit...
AbstractWe prove that evaluating a Boolean decision tree of heighthrequiresΩ(h/(m+log*h)) time on an...
AbstractThe ROBUST PRAM is a concurrent-read concurrent-write (CRCW) parallel random access machine ...
The central focus of computational complexity theory is to measure the "hardness" of computing diffe...
AbstractProperties of functions that are good measures of the CRCW PRAM complexity of computing them...
This paper presents a new semantic method for proving lower bounds in computational complexity. We u...
AbstractThe computation of specific functions using the most general form of concurrent-read-concurr...