171 search results - page 28 / 35 » Techniques for Scaling Up Analyses Based on Pre-interpretati... |
WWW
2011
ACM
13 years 2 months 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. ...
PPL
2011
12 years 10 months ago
2011
Petascale parallel computers with more than a million processing cores are expected to be available in a couple of years. Although MPI is the dominant programming interface today ...
ICDE
2012
IEEE
11 years 10 months ago
2012
IEEE
—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
EUROPAR
2009
Springer
14 years 2 months ago
2009
Springer
Optimal network performance is critical to efficient parallel scaling for communication-bound applications on large machines. With wormhole routing, no-load latencies do not increa...
TCOM
2008
13 years 7 months ago
2008
Abstract--We investigate a new approach to uplink communications in wideband outdoor cellular systems that can take advantage of multiple antennas at the base station in a scalable...