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Apache Giraph

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Claimed by Apache Software Foundation Analyzed 4 months ago

Giraph builds upon the graph-oriented nature of Pregel but additionally adds fault-tolerance to the coordinator process with the use of ZooKeeper as its centralized coordination service. Its implemented a graph-processing framework that is launched as a typical Hadoop job to leverage existing ... [More] Hadoop infrastructure, such as Amazon's EC2. Giraph follows the bulk-synchronous parallel model relative to graphs where vertices can send messages to other vertices during a given superstep. [Less]

141K lines of code

5 current contributors

about 2 years since last commit

3 users on Open Hub

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Mostly written in Java
Licenses: apache_2
Tags bigdata bsp fault_tolerance graph_processing graphs hadoop large_scale zookeeper

Apache Hama

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Claimed by Apache Software Foundation Analyzed about 11 hours ago

Hama is a distributed computing framework based on BSP (Bulk Synchronous Parallel) computing techniques for massive scientific computations, Currently being incubated as one of the incubator project by the Apache Software Foundation

107K lines of code

0 current contributors

over 5 years since last commit

2 users on Open Hub

Inactive
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Mostly written in Java
Licenses: apache_2
Tags bsp bulk distributed google graphdb hdfs large_scale matrix message_passing pagerank parallel pregel 1 more...

Shark - Hive on Spark

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  Analyzed 1 day ago

Hive on Spark

17K lines of code

0 current contributors

over 9 years since last commit

1 users on Open Hub

Inactive
0.0
 
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Mostly written in Scala
Licenses: apache_2
Tags bigdata datawarehouse large_scale mapreduce

D-CENT

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  Analyzed about 18 hours ago

D-CENT is a Europe-wide project creating privacy-aware tools and applications for direct democracy and economic empowerment. Together with the citizens and developers, we are creating a decentralised social networking platform for large-scale collaboration and decision-making.

458K lines of code

2 current contributors

over 4 years since last commit

0 users on Open Hub

Inactive
0.0
 
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Mostly written in JavaScript
Licenses: No declared licenses
Tags collaboration decentralised decision_making large_scale networking platform social

incubator-singa

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  Analyzed about 21 hours ago

SINGA is a general distributed deep learning platform for training big deep learning models over large datasets. It is designed with an intuitive programming model based on the layer abstraction. A variety of popular deep learning models are supported, namely feed-forward models including ... [More] convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. SINGA also supports different neural net partitioning schemes to parallelize the training of large models, namely partitioning on batch dimension, feature dimension or hybrid partitioning. [Less]

87.6K lines of code

28 current contributors

about 2 months since last commit

0 users on Open Hub

Moderate Activity
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Mostly written in C++
Licenses: apache_2
Tags artificial_neural_networks cluster CNN CUDA cudnn deep_learning distributed gpu large_datasets large_scale machine_learning multiple_gpu 5 more...