AbstractUsing the parallel comparison tree model of Valiant, we study the time required in the worst case to select the median of n elements with p processors. With a miniscule improvement of recent work by Ajtai, Komlós, Steiger and Szemerédi, we show that it is Θnp+loglognlog(1+pn) for 1≤p≤(n2). This expression is equivalent to one established by Kruskal as the time required to merge two lists of n/2 elements with p processors and, rather curiously, includes as a sub-expression Θlognlog(1+pn) established by Azar and Vishkin as the time required to sort n elements with p processors
We show that selection on an input of size N can be performed on a P-node hypercube (P = N/(log N)) ...
AbstractWe show that several versions of Floyd and Rivest's algorithm SELECT for finding the kth sma...
AbstractWe present lower bounds on the number of rounds required to solve a decision problem in the ...
AbstractUsing the parallel comparison tree model of Valiant, we study the time required in the worst...
Using the parallel comparison tree model of Valiant, we study the time required in the worst case to...
Using the parallel comparison tree model of Valiant, we study the time required in the worst case to...
AbstractWe show that in the deterministic comparison model for parallel computation, p = n processor...
The selection problem of size $n$ is, given a set of $n$ elements drawn from an ordered universe and...
AbstractWe show that in the deterministic comparison model for parallel computation, p = n processor...
We show that selection on an input of size N can be performed on a P-node hypercube (P = N/(log N)) ...
AbstractWe present a simple deterministic parallel algorithm that runs on a CRCW PRAM and sorts n in...
AbstractWe present a randomized selection algorithm whose performance is analyzed in an architecture...
The number of comparisons required to select the i-th smallest of n numbers is shown to be at most a...
A common statistical problem is that of finding the median element in a set of data. This paper pres...
We present a parallel algorithm running in time O(logmlog*m(logm+log(nm))) time and O(mlog(nm)) oper...
We show that selection on an input of size N can be performed on a P-node hypercube (P = N/(log N)) ...
AbstractWe show that several versions of Floyd and Rivest's algorithm SELECT for finding the kth sma...
AbstractWe present lower bounds on the number of rounds required to solve a decision problem in the ...
AbstractUsing the parallel comparison tree model of Valiant, we study the time required in the worst...
Using the parallel comparison tree model of Valiant, we study the time required in the worst case to...
Using the parallel comparison tree model of Valiant, we study the time required in the worst case to...
AbstractWe show that in the deterministic comparison model for parallel computation, p = n processor...
The selection problem of size $n$ is, given a set of $n$ elements drawn from an ordered universe and...
AbstractWe show that in the deterministic comparison model for parallel computation, p = n processor...
We show that selection on an input of size N can be performed on a P-node hypercube (P = N/(log N)) ...
AbstractWe present a simple deterministic parallel algorithm that runs on a CRCW PRAM and sorts n in...
AbstractWe present a randomized selection algorithm whose performance is analyzed in an architecture...
The number of comparisons required to select the i-th smallest of n numbers is shown to be at most a...
A common statistical problem is that of finding the median element in a set of data. This paper pres...
We present a parallel algorithm running in time O(logmlog*m(logm+log(nm))) time and O(mlog(nm)) oper...
We show that selection on an input of size N can be performed on a P-node hypercube (P = N/(log N)) ...
AbstractWe show that several versions of Floyd and Rivest's algorithm SELECT for finding the kth sma...
AbstractWe present lower bounds on the number of rounds required to solve a decision problem in the ...