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Dryad This is a research prototype of the Dryad and DryadLINQ data-parallel processing frameworks running on Hadoop YARN. Dryad utilizes cluster services provided as part of Hadoop YARN to reliably execute distributed computations on a cluster of computers. DryadLINQ provides the LINQ programming model for distributed data processing and leverages Dryad for reliable execution. If you just want to run a sample DryadLINQ program, the simplest way to get started is to follow the instructions at http://microsoftresearch.github.io/Dryad/?topic=html/e992fd94-c956-481d-82e6-dbdf45daa722.htm Requirements Visual Studio 2013 An Azure HDInsight 3.1 cluster or a Windows YARN cluster composed of x64 machines Building Dryad 1) Clone the Dryad git repository. 2) Use Visual Studio to open The Dryad solution file (Dryad.sln) located in the root of the repository and build the solution. The dependencies will be fetched from NuGet.
Naiad
The Naiad system provides fast incremental and iterative computation for data-parallel workloadsAzimuth
Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiencyNaiadSamples
Sample implementations using NaiadSHS
The Scalable Hyperlink StorePeloponnese
A collection of libraries for working with YARN from .Netsealcrypto
The Simple Encrypted Arithmetic Library (SEAL) is a very fast and easy-to-use homomorphic encryption library implementing the BFV and CKKS encryption schemes.Intent-based-Task-Representation-Learning
.github
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