58 search results - page 2 / 12 » Distributed Machine Learning: Scaling Up with Coarse-grained... |
WWW
2011
ACM
13 years 4 days ago
2011
ACM
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. ...
OSDI
2008
ACM
13 years 7 months ago
2008
ACM
DryadLINQ is a system and a set of language extensions that enable a new programming model for large scale distributed computing. It generalizes previous execution environments su...
SIAMSC
2008
13 years 5 months ago
2008
Abstract. In this article, we propose new parallel algorithms for the construction and 2:1 balance refinement of large linear octrees on distributed memory machines. Such octrees a...
TNN
2008
13 years 5 months ago
2008
We propose a distributed parallel support vector machine (DPSVM) training mechanism in a configurable network environment for distributed data mining. The basic idea is to exchange...
ICDCS
2011
IEEE
12 years 4 months ago
2011
IEEE
—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...