The MPI-IO standard creates a huge opportunity to break out of the traditional file system I/O methods. As a software layer between the user and the file system, an MPI-IO libra...
Kenin Coloma, Avery Ching, Alok N. Choudhary, Wei-...
The clustering algorithm DBSCAN relies on a density-based notion of clusters and is designed to discover clusters of arbitrary shape as well as to distinguish noise. In this paper,...
Commercial HPC applications are often run on clusters that use the Microsoft Windows operating system and need an MPI implementation that runs efficiently in the Windows environmen...
Jayesh Krishna, Pavan Balaji, Ewing L. Lusk, Rajee...
We present the Data Parallel Fortran (DPF) benchmark suite, a set of data parallel Fortran codes forevaluatingdata parallel compilers appropriatefor any target parallel architectu...
Y. Charlie Hu, S. Lennart Johnsson, Dimitris Kehag...
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...