Playlist: 30 videos

Parallel and Distributed Algorithms for Inference and Optimization

Oct. 21 – Oct. 24, 2013

Recent years have seen dramatic changes in the architectures underlying both large-scale and small-scale data analysis environments. For example, distributed data centers consisting of clusters of a large number of commodity...

0:52:54

MapReduce Algorithmics

Sergei Vassilvitskii, Google
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/sergei-vassilvitskii-2013-10-21
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0:26:56

Large Scale Response Prediction to Serve Ads on LinkedIn

Deepak Agarwal, LinkedIn
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/deepak-agarwal-2013-10-21
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0:29:36

Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Communication

Three Goals in Parallel Graph Computations: High Performance, High Productivity, and Reduced Communication
Aydin Buluç, Lawrence Berkeley National Laboratory
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/aydin-buluc-2013-10-21
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0:30:9

Scalable Graph-Parallel Inference Algorithms and Systems

Joseph Gonzalez, UC Berkeley
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/joseph-gonzalez-2013-10-21
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0:27:36

Cost Models for Locality and Parallelism

Harsha Vardhan Simhadri, Carnegie Mellon University
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/harsha-vardhan-simhadri-2013-10-21
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0:29:24

Extreme Multiclass

John Langford, Microsoft Research New York
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/john-langford-2013-10-21
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0:27:32

Parallel Active Learning

Alekh Agarwal, Microsoft Research New York
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/alekh-agarwal-2013-10-21
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0:26:1

MLbase: A Distributed Machine Learning System

Tim Kraska, Brown University
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/tim-kraska-2013-10-21
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0:27:1

Sampling Algorithms to Count Frequent Patterns in Graphs

Ali Pinar, Sandia National Laboratories
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/ali-pinar-2013-10-21
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0:49:43

Big Data on Smallish Machines

Guy Blelloch, Carnegie Mellon University
Parallel and Distributed Algorithms for Inference and Optimization
http://simons.berkeley.edu/talks/guy-blelloch-2013-10-22
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