[Colloquium] CS Seminar today at 2:30 pm: Benjamin Moseley, WUSTL

[Sandra Wallace via Colloquium]

Department of Computer Science Seminar

Monday, March 13, 2017
2:30 pm
Ryerson 251 

Benjamin Moseley
(Washington University in St. Louis)

Title: Algorithmic Methods for Massively Parallel Data Science

Abstract: 
This talk is concerned with designing algorithms for large scale data science using massively parallel computation.  The talk discusses  models and algorithms for frameworks such as MapReduce and Spark.  The constraints of the models are well connected to practice, but pose challenging algorithmic restrictions.  This talk introduces recent developments that overcome these challenges, widely applicable massively parallel algorithmic techniques and key questions on the theoretical foundations of massively parallel computation.    The methods introduced will be applied to large data problems that are central to the data analytic community, submodular function optimization and dynamic programming.

The work in this talk has been supported by Google, Yahoo and the NSF.
  

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Bio:  Benjamin Moseley joined the Department of Computer Science & Engineering at Washington University in St. Louis in July 2014. Previously, Moseley was a Research Assistant Professor at the Toyota Technological Institute at Chicago from 2012 to 2014, has frequently been affiliated with Yahoo Research and was a visiting scientist at Sandia National Laboratories. He received his Ph.D. in computer science from the University of Illinois at Urbana-Champaign (Illinois) in 2012.   

Moseley received the Best Paper Award at the 2015 International Parallel and Distributed Processing Symposium (IPDPS), the Best Paper Award at the 2013 Symposium on Parallelism in Algorithms and Architectures (SPAA), and the Best Student Paper Award at the 2010 Symposium on Discrete Algorithms (SODA). He co-organizes the bi-annual meeting, "New Challenges in Scheduling Theory'' and is an associate editor of Operations Research Letters.


Host: Mike Franklin

Refreshments in Ry. 255 after the talk
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