Ben Christensen explains how Netflix optimizes server’s interaction with more than 800 client devices by creating customized concurrent service endpoints with RxJava and Hystrix.
Saul Mora discusses using some of the patterns from the Design Pattern book today, and applying patterns in a multicore world.
Victor Grazi presents the functionality of the components in the java.util.concurrent library through a series of animations implemented with the respective concurrent methods.
Jeremy Cloud discusses SOA at Twitter, approaches taken for maintaining high levels of concurrency, and briefly touches on some functional design patterns used to manage code complexity.
Bjarne Stroustrup keynotes on what C++ is in general, how C++ 11 makes simple things even simpler, resource management, generic programming, and concurrency.
Stuart Halloway discusses concurrency features in Clojure: atoms, agents, futures, delays, promises, STM, and dynamic vars.
Sébastien Doeraene introduces Ozma – Scala extension providing declarative concurrency – with code samples, and explores what it takes to port it to JVM.
Simon Marlow introduces some of the main features of Concurrent Haskell: forking threads, MVars, asynchronous I/O, simple inter-thread protocols.
Jeff Kelley introduces the Grand Central Dispatch framework for writing concurrent applications for iOS.
Andrew Gerrand introduces Go, demoing some of its main features through examples: a concurrent echo server, chat, channels, error handling, etc.
Mohammad Rezaei discusses fine-grained parallelism along with an algorithm called Aggregation and a concurrent map built to help dealing with it.
Andrew Sheppard overviews the driving forces behind GPU’s adoption by the financial industry, and explains the use of the Monte Carlo technique on GPUs.