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» A Customizable Hybrid Approach to Data Clustering
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2003
ACM
15 years 2 months ago
Optimizing Reduction Computations In a Distributed Environment
We investigate runtime strategies for data-intensive applications that involve generalized reductions on large, distributed datasets. Our set of strategies includes replicated fi...
Tahsin M. Kurç, Feng Lee, Gagan Agrawal, &U...
ICDCS
2011
IEEE
13 years 9 months ago
Provisioning a Multi-tiered Data Staging Area for Extreme-Scale Machines
—Massively parallel scientific applications, running on extreme-scale supercomputers, produce hundreds of terabytes of data per run, driving the need for storage solutions to im...
Ramya Prabhakar, Sudharshan S. Vazhkudai, Youngjae...
63
Voted
BMCBI
2002
89views more  BMCBI 2002»
14 years 9 months ago
Sources of variability and effect of experimental approach on expression profiling data interpretation
Background: We provide a systematic study of the sources of variability in expression profiling data using 56 RNAs isolated from human muscle biopsies (34 Affymetrix MuscleChip ar...
Marina Bakay, Yi-Wen Chen, Rehannah H. A. Borup, P...
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
15 years 1 months ago
Improving cooperative GP ensemble with clustering and pruning for pattern classification
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
Gianluigi Folino, Clara Pizzuti, Giandomenico Spez...
EUROPAR
2008
Springer
14 years 11 months ago
MPC: A Unified Parallel Runtime for Clusters of NUMA Machines
Over the last decade, Message Passing Interface (MPI) has become a very successful parallel programming environment for distributed memory architectures such as clusters. However, ...
Marc Pérache, Hervé Jourdren, Raymon...