Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
The objective of this research is to construct parallel models that simulate the behavior of artificial neural networks. The type of network that is simulated in this project is t...
Abstract—Load elimination is a classical compiler transformation that is increasing in importance for multi-core and many-core architectures. The effect of the transformation is ...
Graph structure can model the relationships among a set of objects. Mining quasi-clique patterns from large dense graph data makes sense with respect to both statistic and applica...
In this paper, we describe our experience in writing parallel numerical algorithms using Hierarchically Tiled Arrays (HTAs). HTAs are classes of objects that encapsulate parallelis...
Ganesh Bikshandi, Basilio B. Fraguela, Jia Guo, Ma...