Sciweavers

58 search results - page 5 / 12
» Distributed Machine Learning: Scaling Up with Coarse-grained...
Sort
View
ICML
2009
IEEE
14 years 9 months ago
Large-scale deep unsupervised learning using graphics processors
The promise of unsupervised learning methods lies in their potential to use vast amounts of unlabeled data to learn complex, highly nonlinear models with millions of free paramete...
Rajat Raina, Anand Madhavan, Andrew Y. Ng
PDP
2005
IEEE
14 years 2 months ago
Distributed Local Resolution of Boolean Equation Systems
Boolean Equation Systems (BESs) allow to represent various problems encountered in the area of propositional logic programming and verification of concurrent systems. Several seq...
Christophe Joubert, Radu Mateescu
IPPS
2009
IEEE
14 years 3 months ago
Scaling communication-intensive applications on BlueGene/P using one-sided communication and overlap
In earlier work, we showed that the one-sided communication model found in PGAS languages (such as UPC) offers significant advantages in communication efficiency by decoupling d...
Rajesh Nishtala, Paul Hargrove, Dan Bonachea, Kath...
IPPS
2000
IEEE
14 years 24 days ago
PaDDMAS: Parallel and Distributed Data Mining Application Suite
Discovering complex associations, anomalies and patterns in distributed data sets is gaining popularity in a range of scientific, medical and business applications. Various algor...
Omer F. Rana, David W. Walker, Maozhen Li, Steven ...
IPPS
2008
IEEE
14 years 2 months ago
Overcoming scaling challenges in biomolecular simulations across multiple platforms
NAMD† is a portable parallel application for biomolecular simulations. NAMD pioneered the use of hybrid spatial and force decomposition, a technique now used by most scalable pr...
Abhinav Bhatele, Sameer Kumar, Chao Mei, James C. ...