Demonstration
GraphLab: A Framework For Machine Learning in the Cloud
Yucheng Low · Haijie Gu · Carlos Guestrin
Harrah's Special Events Center, 2nd Floor -Tahoe A & B
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Abstract
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Abstract:
GraphLab is a graph-based abstraction targeted at solving large scale Machine Learning and data-mining tasks. Our distributed GraphLab implementation scales graphs with billions of vertices and edges easily and outperforms other systems and abstractions by orders of magnitudes. We have implemented a number of toolkits on top of GraphLab ranging from classical graph analytics tasks to collaborative filtering, probabilistic inference and clustering algorithms.
All code is open source and is available at http://graphlab.org/
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