Skip to content

MR4J is a MapReduce framework class building on the ForkJoinPool to manage the scheduling of tasks in the different phases of execution. An optimiser is available to reduce the overhead associated with the intermediate data without extending the API.

License

master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 

MapReduce for Java (MR4J)

MR4J is a MapReduce framework class building on the ForkJoinPool to manage the scheduling of tasks in the different phases of execution. An optimiser is available to reduce the overhead associated with the intermediate data without extending the API.

Publications

Towards co-designed optimizations in parallel frameworks: A MapReduce case study. Colin Barrett, Christos Kotselidis, Mikel Luján. ACM International Conference on Computing Frontiers 2016 (preprint available at http://arxiv.org/abs/1603.09679).

About

MR4J is a MapReduce framework class building on the ForkJoinPool to manage the scheduling of tasks in the different phases of execution. An optimiser is available to reduce the overhead associated with the intermediate data without extending the API.

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages