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