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SDM
2012
SIAM
237views Data Mining» more  SDM 2012»
13 years 9 months ago
A Distributed Kernel Summation Framework for General-Dimension Machine Learning
Kernel summations are a ubiquitous key computational bottleneck in many data analysis methods. In this paper, we attempt to marry, for the first time, the best relevant technique...
Dongryeol Lee, Richard W. Vuduc, Alexander G. Gray
WAE
2001
281views Algorithms» more  WAE 2001»
15 years 8 months ago
Using PRAM Algorithms on a Uniform-Memory-Access Shared-Memory Architecture
The ability to provide uniform shared-memory access to a significant number of processors in a single SMP node brings us much closer to the ideal PRAM parallel computer. In this pa...
David A. Bader, Ajith K. Illendula, Bernard M. E. ...
CCGRID
2010
IEEE
15 years 7 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
ICCS
2005
Springer
16 years 5 days ago
Computational Modeling of Human Head Conductivity
A multi-cluster computational environment with mixed-mode (MPI + OpenMP) parallelism for estimation of unknown regional electrical conductivities of the human head, based on realis...
Adnan Salman, Sergei Turovets, Allen D. Malony, Je...
199
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SC
2003
ACM
15 years 12 months ago
Dyn-MPI: Supporting MPI on Non Dedicated Clusters
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participa...
D. Brent Weatherly, David K. Lowenthal, Mario Naka...