The Parameter Server
published: Jan. 16, 2013, recorded: December 2012, views: 9332
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In this talk I will discuss a number of vignettes on scaling optimization and inference. Despite arising from very different contexts (graphical models inference, convex optimization, neural networks), they all share a common design pattern - a synchronization mechanism in the form of a parameter server. It formalizes the notion of decomposing optimization problems into subsets and reconciling partial solutions. I will discuss some of the systems and distribution issues involved in building such a system.
Download slides: nipsworkshops2012_smola_parameter_server_01.pdf (23.0 MB)
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