Biclustering refers to simultaneously capturing correlations present among subsets of attributes (columns) and records (rows). It is widely used in data mining applications includ...
While application performance and power-efficiency are both important, application correctness is even more important. In other words, if the application is misbehaving, it is li...
Shimin Chen, Phillip B. Gibbons, Michael Kozuch, T...
This paper describes PI/OT, a template-based parallel I/O system. In PI/OT, I/O streams have annotations associated with them that are external to the source code. These annotatio...
Ian Parsons, Jonathan Schaeffer, Duane Szafron, Ro...
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
In this work we present a parallel algorithm for the solution of a least squares problem with structured matrices. This problem arises in many applications mainly related to digit...
Pedro Alonso, Antonio M. Vidal, Alexey L. Lastovet...