175 search results - page 1 / 35 » Sampling with incremental mapreduce |
ICPADS
2010
IEEE
13 years 2 months ago
2010
IEEE
The MapReduce programming model simplifies large-scale data processing on commodity clusters by having users specify a map function that processes input key/value pairs to generate...
SIGMOD
2011
ACM
12 years 7 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...
PVLDB
2008
13 years 3 months ago
2008
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, ...
ESOP
2012
Springer
12 years 6 days ago
2012
Springer
Abstract. MapReduce, being inspired by the map and reduce primitives available in many functional languages, is the de facto standard for large scale data-intensive parallel progra...
HPDC
2010
IEEE
13 years 5 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...