beehive-lab/map-reduce

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.

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).