602 search results - page 3 / 121 » Automatic Optimization for MapReduce Programs |
ICDE
2011
IEEE
12 years 9 months ago
2011
IEEE
Abstract—MapReduce is emerging as a generic parallel programming paradigm for large clusters of machines. This trend combined with the growing need to run machine learning (ML) a...
HPDC
2010
IEEE
13 years 6 months ago
2010
IEEE
In this paper we present a multi-GPU parallel volume rendering implemention built using the MapReduce programming model. We give implementation details of the library, including s...
SIGMOD
2011
ACM
12 years 8 months ago
2011
ACM
Today’s one-pass analytics applications tend to be data-intensive in nature and require the ability to process high volumes of data efficiently. MapReduce is a popular programm...
CIKM
2009
Springer
14 years 1 days ago
2009
Springer
Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
SIGMOD
2010
ACM
13 years 10 months ago
2010
ACM
As the study of graphs, such as web and social graphs, becomes increasingly popular, the requirements of efficiency and programming flexibility of large graph processing tasks c...