Mapreduce

There are actually two implementations of MapReduce, the MaPI framework for multicomputers and the MapMP librabry for multiprocessors.


Platforms: Mac, *nix, C/C++, BSD Solaris

There are actually two implementations of MapReduce, the MaPI framework for multicomputers and the MapMP librabry for multiprocessors.


Platforms: C and C plus plus

A framework for batch-processing RDF data with Hadoop and Amazon Elastic MapReduce.


Platforms: Ruby

Framework for development of simple evolutionary algorithms / island models programs in distributed environment using MapReduce programming model based on hadoop.


Platforms: Windows, Mac, Linux

A web-based interface for the Hadoop MapReduce framework that simplifies the process of writing and running MapReduce jobs. Aimed at introducing parallelism concepts in introductory computer science courses.


Platforms: Windows, Mac, Linux

The pomsets-core package implements the core functionality for workflow management in the cloud. pomsets is a computational workflow management system for your cloud infrastructure. pomset is short for "partially-ordered multiset". It is a mathematical model for defining concurrent processes...


Platforms: *nix

Gearman-JMS is an implementation of JMS using gearmand as the JMS provider. Gearman-JMS started as a capstone project for Portland State University's CS487-88 Spring-Summer 2009 Sequence. About Gearman Gearman provides a generic application framework to farm out work to other machines or...


Platforms: *nix

mrjob is a Python package that helps you write and run Hadoop Streaming jobs. mrjob fully supports Amazon's Elastic MapReduce (EMR) service, which allows you to buy time on a Hadoop cluster on an hourly basis. It also works with your own Hadoop cluster. Some important features: * Run jobs on...


Platforms: *nix