https://github.com/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.
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (2.4%) to scientific vocabulary
Repository
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.
Basic Info
Statistics
- Stars: 2
- Watchers: 5
- Forks: 1
- Open Issues: 0
- Releases: 0
https://github.com/beehive-lab/map-reduce/blob/master/
# 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 Lujn. ACM International Conference on Computing Frontiers 2016 (preprint available at http://arxiv.org/abs/1603.09679).
Owner
- Name: Beehive lab
- Login: beehive-lab
- Kind: organization
- Location: United Kingdom
- Website: http://apt.cs.manchester.ac.uk/
- Repositories: 38
- Profile: https://github.com/beehive-lab
Beehive lab is part of the Advanced Processor Technologies Group at the University of Manchester specializing in hw/sw codesign.