Metronome is a suite of parallel iterative algorithms that run natively on Hadoop's Next Generation YARN platform.

• Algorithms
  • Parallel Neural Networks
  • Parallel linear regression
  • Parallel logistic regression
  • Parallel K-means
  • Restricted Boltzmann Machines
  • Parallel Deep Belief Networks
    • Developed directly in concert with [Adam Gibson and the DL4J project] (http://deeplearning4j.org)
    • [Running Deep Learning with Metronome on Hadoop] (https://github.com/jpatanooga/Metronome/wiki/Running-Deep-Learning-on-Metronome)
    • [Fundamental Architecture of our Deep Learning Library over at DL4J] (http://deeplearning4j.org/overview.html)
• Scales linearly with input size
• Built on top of BSP-style computation framework "Iterative Reduce" (Hadoop / YARN)
• Packaged in a new suite of parallel iterative algorithms called Metronome on [IterativeReduce] (https://github.com/emsixteeen/IterativeReduce)
  • 100% Java, ASF 2.0 Licensed, on github

Project Next Steps

• 6/5/2014 - we're working on cutting a 0.1 tag and download for the current project snapshot for both
  • IterativeReduce
  • Metronome

Presentations

Hadoop Summit EU 2013

• [Hadoop Summit EU 2013: Parallel Linear Regression, IterativeReduce, and YARN] (http://www.slideshare.net/jpatanooga/hadoop-summit-eu-2013-parallel-linear-regression-iterativereduce-and-yarn)

• [Video of Presentation from Hadoop Summit EU 2013] (http://www.youtube.com/watch?feature=player_embedded&v=rwiy_YhbxiI)

BigDataTechCon 2013

• Slides soon

MLConf 2013

• [Parallel Neural Networks on Hadoop Slides] (http://www.slideshare.net/jpatanooga/metronome-ml-confnov2013v20131113)

Hadoop Summit 2014 (San Jose)

• [Slides for Intro To Deep Learning on Hadoop] (http://www.slideshare.net/jpatanooga/hadoop-summit-2014-san-jose-introduction-to-deep-learning-on-hadoop)

• [Video of Hadoop Summit Talk] (https://www.youtube.com/watch?v=h2Ixpfn-DTg&list=PLSAiKuajRe2k0Aw_njj74rIlbdk3JTQ8Y)

Deep Learning Coverage in Wired Magazine

• [Wired - Google Data Center AI] (http://www.wired.com/2014/05/google-data-center-ai/)

• [Wired - Skymind Deep Learning] (http://www.wired.com/2014/06/skymind-deep-learning/)

Resources

• [General guide on running yarn jobs] (https://github.com/jpatanooga/Metronome/wiki/Running-Jobs-on-YARN-Clusters)
• [Running Deep Learning with Metronome on Hadoop] (https://github.com/jpatanooga/Metronome/wiki/Running-Deep-Learning-on-Metronome)
• [IterativeReduce Programming Model] (https://github.com/emsixteeen/IterativeReduce/wiki/Iterative-Reduce-Programming-Guide)
• Using IRUnit - the IterativeReduce Unit Testing Framework
• [Running parallel linear regression with IRUnit on synthetic test data] (https://github.com/jpatanooga/Metronome/wiki/Running-Parallel-Linear-Regression)

Contributors and Special Thanks

• Adam Gibson
  • [Github] (https://github.com/agibsonccc/)
• Michael Katzenellenbollen
  • [Github] (https://github.com/emsixteeen)
• Dr. Jason Baldridge
• Dr. James Scott
• Paul Wilkinson
• David Kale
  • Professional Hipster / Hobbit