[Pl-seminar] Daniel Huang -- Augur: Data-Parallel Probabilistic Modeling. Feb. 20th, 11:45am

[William J. Bowman]

Reminder: we have a PL seminar tomorrow at 11:45am.

On Sun, Feb 15, 2015 at 03:59:26PM -0500, William J. Bowman wrote:
> Hello all,
> 
> We will have a our first PL seminar on Feb. 20th, 11:45am in 366 WVH:
> 
> Speaker: Daniel Huang
> 
> Title: Augur: Data-Parallel Probabilistic Modeling
> 
> Abstract: Probabilistic programming systems automatically generate an
> inference algorithm from a description of a model as a program. The goal is
> to make it easier for practitioners to apply Bayesian machine learning.
> However, a poorly performing inference algorithm can make this approach
> impractical. In this talk, we describe Augur, a system that extracts a
> data-parallel, single-chain, MCMC inference algorithm from a restricted
> class of models for execution on a GPU. The focus of the project is on
> performance of the inference algorithm, instead of expressiveness of the
> modeling language. We detail our approach and highlight some of the
> challenges we faced in generating performant code.
> 
> 
> -- 
> William J. Bowman


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