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141
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ICDM
2009
IEEE
172views Data Mining» more  ICDM 2009»
15 years 10 months ago
Sparse Least-Squares Methods in the Parallel Machine Learning (PML) Framework
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
Ramesh Natarajan, Vikas Sindhwani, Shirish Tatikon...
96
Voted
IPPS
2006
IEEE
15 years 9 months ago
Parallel FPGA-based all-pairs shortest-paths in a directed graph
With rapid advances in VLSI technology, Field Programmable Gate Arrays (FPGAs) are receiving the attention of the Parallel and High Performance Computing community. In this paper,...
Uday Bondhugula, Ananth Devulapalli, Joseph Fernan...
108
Voted
ISPDC
2005
IEEE
15 years 9 months ago
Enforcing consistency during the adaptation of a parallel component
Abstract. Grid architectures are execution environments that are known to be at the same time distributed, parallel, heterogeneous and dynamic. While current tools focus solutions ...
Jérémy Buisson, Françoise And...
150
Voted
IPPS
2003
IEEE
15 years 8 months ago
An Object Oriented Framework for an Associative Model of Parallel Computation
An object oriented description and framework of the Multiple ASsociative Computing (MASC) model of parallel computation is presented. This description identifies MASC objects and ...
Michael Scherger, Jerry L. Potter, Johnnie W. Bake...
ICPR
2000
IEEE
15 years 8 months ago
Transparent Parallel Image Processing by way of a Familiar Sequential API
This paper describes an infrastructure that enables transparent development of image processing software for parallel computers. The infrastructure’s main component is an image ...
Frank J. Seinstra, Dennis Koelma