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WWW
2011
ACM
13 years 2 months ago
Parallel boosted regression trees for web search ranking
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
GECCO
2006
Springer
180views Optimization» more  GECCO 2006»
13 years 11 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...
CLUSTER
2009
IEEE
13 years 5 months ago
Design alternatives for implementing fence synchronization in MPI-2 one-sided communication for InfiniBand clusters
Scientific computing has seen an immense growth in recent years. The Message Passing Interface (MPI) has become the de-facto standard for parallel programming model for distribute...
Gopalakrishnan Santhanaraman, Tejus Gangadharappa,...
EUROPAR
2003
Springer
14 years 21 days ago
Nswap: A Network Swapping Module for Linux Clusters
Cluster applications that process large amounts of data, such as parallel scientific or multimedia applications, are likely to cause swapping on individual cluster nodes. These ap...
Tia Newhall, Sean Finney, Kuzman Ganchev, Michael ...
SC
2003
ACM
14 years 22 days 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...