Recent work in high-performance computing has shifted attention to PC clusters.. For PC-clusters, member nodes are independent computers connected by generalpurpose networks. The ...
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low-dimensional embedding of a dataset using truncated power ite...
This paper describes an implementation of parallel LU factorization. The focus is to achieve high performance on non-dedicated clusters, where the number of available computing re...
Abstract--SUDA2 is a recursive search algorithm for Minimal Unique Itemset detection. Such sets of items are formed via combinations of non-obvious attributes enabling individual r...
Paraskevas Yiapanis, David J. Haglin, Anna M. Mann...
We propose a novel algorithm for clustering data sampled from multiple submanifolds of a Riemannian manifold. First, we learn a representation of the data using generalizations of...