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MapReduce

Known as: Hadoop map, Map/reduce, Map Reduce 
MapReduce is a programming model and an associated implementation for processing and generating large data sets with a parallel, distributed… 
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Related topics

Related topics

50 relations
Amazon Elastic Compute Cloud (EC2)Apache GoraApache HadoopApache Mahout

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Composable architecture for rack scale big data computing
2016
2016
Optimization strategy of Hadoop small file storage for big data in healthcare
As the era of “big data” comes, the data processing platform like Hadoop was born at the right moment. But its carrier for… 
Highly Cited
2015
Highly Cited
2015
Energy-Aware Scheduling of MapReduce Jobs for Big Data Applications
The majority of large-scale data intensive applications executed by data centers are based on MapReduce or its open-source… 
Highly Cited
2014
Highly Cited
2014
Consolidating complementary VMs with spatial/temporal-awareness in cloud datacenters
In cloud datacenters, effective resource provisioning is needed to maximize energy efficiency and utilization of cloud resources… 
Review
2013
Review
2013
A review on hadoop — HDFS infrastructure extensions
Apache's Hadoop1 as of now is pretty good but there are scopes of extensions and enhancements. A large number of improvements are… 
Highly Cited
2013
Highly Cited
2013
Dispersal patterns in space and time: a case study of Apiaceae subfamily Apioideae
To analyse spatial and temporal patterns of dispersal events in the euapioids (Apiaceae subfamily Apioideae). 
Highly Cited
2010
Highly Cited
2010
Axel: a heterogeneous cluster with FPGAs and GPUs
This paper describes a heterogeneous computer cluster called Axel. Axel contains a collection of nodes; each node can include… 
Highly Cited
2010
Highly Cited
2010
Estimating rates of rare events with multiple hierarchies through scalable log-linear models
We consider the problem of estimating rates of rare events for high dimensional, multivariate categorical data where several… 
Highly Cited
2010
Highly Cited
2010
A map reduce framework for programming graphics processors
Recent developments in programmable, highly parallel Graphics Processing Units (GPUs) have enabled high performance general… 
Highly Cited
2010
Highly Cited
2010
MapCG: Writing parallel program portable between CPU and GPU
Graphics Processing Units (GPU) have been playing an important role in the general purpose computing market recently. The common… 
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