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34:07

Distributed Consensus: Making the Impossible Possible

Posted by Heidi Howard  on  Jun 28, 2016

Heidi Howard explores how to construct resilient distributed systems on top of unreliable components. Howard discusses which algorithms are best suited to different situations.

32:32

Detecting Anomalies in Streaming Data, Evaluating Algorithms for Real-World Use

Posted by Alexander Lavin  on  Jun 01, 2016

Alexander Lavin introduces the Numenta Anomaly Benchmark (NAB), a framework for evaluating anomaly detection algorithms on streaming data.

43:53

The Quest for Low-latency with Concurrent Java

Posted by Martin Thompson  on  Mar 31, 2016

Martin Thompson focuses on algorithms which provide very high throughput while keeping latency low and predictable, discussing the concurrency theory and implementing these algorithms in Java 8.

51:29

The Raft Consensus Algorithm

Posted by Diego Ongaro  on  Mar 02, 2016

Diego Ongaro introduces Raft, a consensus algorithm for managing a replicated log by separating the key elements of consensus and reducing the number of states that must be considered.

34:23

It Probably Works

Posted by Tyler McMullen  on  Jan 01, 2016

Tyler McMullen discusses how probabilistic algorithms actually work in practice and how to know they'll be safe and reliable in critical production systems.

33:45

Mini-talks: Machine Intelligence, Algorithms for Anti-Money Laundering, Blockchain

Posted by David Beyer, Olaf Carlson-Wee, Richard Minerich  on  Aug 02, 2015

Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective. The future of global, trustless transactions on the largest graph: blockchain. Algorithms for Anti-Money Laundering

09:41

Cybertron: Pushing the Limit on I/O Reduction in Data-Parallel Programs

Posted by Tian Xiao, Jiaxing Zhang, Chencheng Ye, Wenguang Chen, Zhenyu Guo, Hucheng Zhou, Xu Zhao, Xi Wang, Wei Lin, Lidong Zhou  on  May 29, 2015

The authors introduce Cybertron, a new tool for reducing I/O operations in data-parallel programs through a constraint-based encoding.

18:19

ASPIRE:Exploiting Asynchronous Parallelism in Iterative Algorithms using a Relaxed Consistency-based DSM

Posted by Keval Vora, Sai Charan Koduru, Rajiv Gupta  on  May 14, 2015

The authors present a relaxed memory consistency model and consistency protocol that tolerate communication latency and minimize the use of stale values, outperforming other models.

47:55

The Quest for the One True Parser

Posted by Terence Parr  on  Feb 15, 2015 1

Terence Parr shows the key practical advances in parsing from the last 25 years, provides algorithm comparisons, and separates the promises from reality.

43:55

Not Exactly! Fast Queries via Approximation Algorithms

Posted by Fangjin Yang, Nelson Ray  on  Jan 20, 2015

Fangjin Yang, creator of Druid, shows how approximation algorithms can help system scale out linearly and process huge amount of data quickly with small memory footprint.

43:56

Machine Learning at Netflix Scale

Posted by Aish Fenton  on  Oct 07, 2014 4

Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.

01:18:44

Order Notation in Practice

Posted by Roger Orr  on  Jun 18, 2014 1

Roger Orr solves a problem with different levels of complexity trying to answer what the complexity notation actually means and why it is important in practice.

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