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Funding for the Next Generation of GraphLab

Published on May 14, 2013 by in Announcement

The GraphLab journey began with the desire: to rethink the way we approach Machine Learning and Graph analytics, to demonstrate that with the right abstractions and system design we can achieve unprecedented levels of performance, and to build a community around large-scale graph computation. We have been blown away by the excitement and growth of

 
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Exciting Updates on the Next Release

Published on April 29, 2013 by in Uncategorized

So it’s been a while … We know, but we’ve been busy! We are putting the finishing touches on GraphLab 2.2 and expect to release it in early July at the GraphLab workshop. What you can expect in this next release of GraphLab is: Substantially improved loading and runtime performance through new partitioning and layout

 
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PowerGraph Presented at OSDI

Published on October 8, 2012 by in Uncategorized

We just presented our work on PowerGraph at OSDI!  PowerGraph is the system and abstraction that forms the foundation of the current version of GraphLab.  The PowerGraph research effort attempts to answer the question: “How can we efficiently design and implement distributed computation on the large-scale natural-graphs graphs found in settings ranging from social networks to

 
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GraphLab Keynote

Published on July 10, 2012 by in Uncategorized

Carlos introduced the next generation of the GraphLab abstraction including the exciting new GraphChi project.  Checkout the slides: Download Keynote Slides  

 
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GraphLab Workshop 2012 is a Supernode!

Published on July 10, 2012 by in Uncategorized

We want to thank everyone who attended the GraphLab 2012 workshop on BigLearning.  It was a great success!   We had over 300 attendees and a density of exciting talks that rivals top tier conferences.  For those who missed it, we will be posting the slides and posters as well as the video lectures as soon

 
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Intel GraphBuilder

Published on July 9, 2012 by in Uncategorized

We have been collaborating with Intel to develop the new GraphBuilder library which provides tools to construct large-scale graphs on top of Apache Hadoop. The library provides function for: Pre-processing – Feature selection/Tokenization, and Tabulation Graph construction – Edge and Vertex lists Graph Normalization – Compression techniques for sparse graph labels Graph Transformation – Optional filters for

 
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GraphLab July 9th Workshop

Published on July 7, 2012 by in Announcement, Workshop

The first GraphLab Workshop is coming up! Don’t miss the early registration. Mark your calendar – Monday July 9th in San Francisco.  Join over 60 companies and 12 universities in discovering the future of BigLearning?

 
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GraphLab visits the AMP Lab

Published on May 8, 2012 by in Presentation

Checkout out of our recent talk at the AMP Lab describing some of the technical features of the new GraphLab 2.1 API. GraphLab2 Presentation at the AMP Lab Retreat

 
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