363 search results - page 11 / 73 » GraphLab: A New Framework for Parallel Machine Learning |
EUROPAR
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. With the increasing popularity of large-scale distributed computing networks, a new aspect has to be considered for scheduling problems: machines may not be available per...
EGC
2005
Springer
14 years 1 months ago
2005
Springer
Genetic algorithms (GAs) are stochastic search methods that have been successfully applied in many search, optimization, and machine learning problems. Their parallel counterpart (...
COLT
1999
Springer
13 years 11 months ago
1999
Springer
We consider the problem of learning to predict as well as the best in a group of experts making continuous predictions. We assume the learning algorithm has prior knowledge of the ...
AIPS
2009
13 years 8 months ago
2009
In order to scale with modern processors, planning algorithms must become multi-threaded. In this paper, we present parallel shared-memory algorithms for two problems that underli...
ICPP
1995
IEEE
13 years 11 months ago
1995
IEEE
– In this paper we present a new approach to benchmark the performance of shared memory systems. This approach focuses on recognizing how far off the performance of a given memor...