AbstractParallel algorithms for recognizing and representing interval orders are proposed for different models of parallel random access machines (PRAM). The algorithms accept as input a transitively-closed directed graph with N nodes and M edges. They run in time O(log N) with O(N + M) processors and O(N + M) space and in constant time with O(N2) processors and O(N2) space depending on the data structure and the PRAM model used. Optimal probabilistic algorithms for PRAM are also presented as well as algorithms for distributed-memory machines
(eng) This paper describes efficient coarse-grained parallel algorithms and implementations for a su...
We describe new randomized parallel algorithms for the problems of interval allocation, construction...
We describe new randomized parallel algorithms for the problems of interval allocation, construction...
AbstractParallel algorithms for recognizing and representing interval orders are proposed for differ...
AbstractParallel algorithms for recognizing and representing N-free orders are proposed for differen...
AbstractParallel algorithms are given for finding a maximum weighted clique, a maximum weighted inde...
We give fast parallel algorithms for recognizing ad representing comparability graphs that can be t...
Parallel algorithms are given for finding a maximum weighted clique, a maximum weighted independent ...
Interval orders are partial orders defined by having interval representations. It is well known tha...
AbstractWe present an efficient parallel algorithm for scheduling n unit length tasks on m identical...
AbstractParallel algorithms for recognizing and representing N-free orders are proposed for differen...
This paper describes efficient coarse-grained parallel algorithms and implementations for a suite of...
This paper describes efficient coarse-grained parallel algorithms and implementations for a suite of...
Interval databases queries are computationally intensive and lend themselves naturally to paralleliz...
AbstractParallel algorithms are given for finding a maximum weighted clique, a maximum weighted inde...
(eng) This paper describes efficient coarse-grained parallel algorithms and implementations for a su...
We describe new randomized parallel algorithms for the problems of interval allocation, construction...
We describe new randomized parallel algorithms for the problems of interval allocation, construction...
AbstractParallel algorithms for recognizing and representing interval orders are proposed for differ...
AbstractParallel algorithms for recognizing and representing N-free orders are proposed for differen...
AbstractParallel algorithms are given for finding a maximum weighted clique, a maximum weighted inde...
We give fast parallel algorithms for recognizing ad representing comparability graphs that can be t...
Parallel algorithms are given for finding a maximum weighted clique, a maximum weighted independent ...
Interval orders are partial orders defined by having interval representations. It is well known tha...
AbstractWe present an efficient parallel algorithm for scheduling n unit length tasks on m identical...
AbstractParallel algorithms for recognizing and representing N-free orders are proposed for differen...
This paper describes efficient coarse-grained parallel algorithms and implementations for a suite of...
This paper describes efficient coarse-grained parallel algorithms and implementations for a suite of...
Interval databases queries are computationally intensive and lend themselves naturally to paralleliz...
AbstractParallel algorithms are given for finding a maximum weighted clique, a maximum weighted inde...
(eng) This paper describes efficient coarse-grained parallel algorithms and implementations for a su...
We describe new randomized parallel algorithms for the problems of interval allocation, construction...
We describe new randomized parallel algorithms for the problems of interval allocation, construction...