Optimal and sublogarithmic time randomized parallel sorting algorithms
SIAM Journal on Computing
Space multiplexing of waveguides in optically interconnected multiprocessor systems
The Computer Journal - Special issue on object-oriented programming
Parallel Algorithms for Hierarchical Clustering and Cluster Validity
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Parallel and Distributed Computing
An optimal randomized parallel algorithm for finding connected components in a graph
SIAM Journal on Computing
An introduction to parallel algorithms
An introduction to parallel algorithms
A randomized linear-time algorithm to find minimum spanning trees
Journal of the ACM (JACM)
Parallel algorithms for hierarchical clustering
Parallel Computing
Sorting, Selection, and Routing on the Array with Reconfigurable Optical Buses
IEEE Transactions on Parallel and Distributed Systems
A minimum spanning tree algorithm with inverse-Ackermann type complexity
Journal of the ACM (JACM)
Journal of Parallel and Distributed Computing
Computer Algorithms: C++
Clustering on a Hypercube Multicomputer
IEEE Transactions on Parallel and Distributed Systems
An Optimal Sorting Algorithm on Reconfigurable Mesh
IPPS '92 Proceedings of the 6th International Parallel Processing Symposium
A Randomized Time-Work Optimal Parallel Algorithm for Finding a Minimum Spanning Forest
RANDOM-APPROX '99 Proceedings of the Third International Workshop on Approximation Algorithms for Combinatorial Optimization Problems: Randomization, Approximation, and Combinatorial Algorithms and Techniques
Exploiting parallelism to support scalable hierarchical clustering
Journal of the American Society for Information Science and Technology
An efficient O(1) time 3D all nearest neighbor algorithm from image processing perspective
Journal of Parallel and Distributed Computing
Parallel time and space upper-bounds for the subset-sum problem
Theoretical Computer Science
An adaptive parallel hierarchical clustering algorithm
HPCC'07 Proceedings of the Third international conference on High Performance Computing and Communications
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Clustering of data has numerous applications and has been studied extensively. Though most of the algorithms in the literature are sequential, many parallel algorithms have also been designed. In this paper, we present parallel algorithms with better performance than known algorithms. We consider algorithms that work well in the worst case as well as algorithms with good expected performance.