InfoQ Homepage Concurrency Content on InfoQ
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The Dos and Don'ts of Multithreading
Hubert Matthews describes some of the problems encountered in multithreading and discusses how to avoid them through appropriate design choices.
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Java EE 7 Using Eclipse
Arun Gupta explains how to do Java EE 7 development with Eclipse, leveraging the new APIs - WebSocket, Batch, JSON Processing, and Concurrency Utilities.
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Concurrency: It’s Harder (and Easier) than You Think
Paul Butcher discusses difficulties with concurrency and some of the alternatives that help with this, focusing on Actors and how they help deal with threads and locks and make code clearer.
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Flint: Fixing Linearizability Violations
The presenters introduce Flint, an automated fixing algorithm for composed Map operations suffering from atomicity violations, being able to fix 96% of the 48 faulty methods found in 27 popular apps.
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Concurrency: It's Harder (and Easier) than You Think
Paul Butcher advises on using concurrency the right way in order to avoid its pitfalls.
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Comfortable Concurrency
Dominic Robinson reflects on several concurrency models, trying to assess which is more pleasant to work with.
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Sweet Elixir! A Gentle Introduction to Erlang’s Cute Younger Brother Elixir
Ryan Cromwell introduces Elixir, a , functional distributed meta programming language inspired by Ruby and compiling to Erlang VM, covering pattern matching, pipelines and tail-call recursion.
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Do Not Block Threads! A Blessing in Disguise or a Curse?
Sadek Drobi discusses how to use Futures and Iteratees to deal with blocking threads in a system with many IO calls and heavy threads.
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Akka for Concurrency Works
Duncan DeVore reviews the challenges of concurrent programming on the JVM and explores Akka, a toolkit and runtime for building highly concurrent, distributed applications on the JVM.
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10 Billion a Day, 100 Milliseconds Per: Monitoring Real-Time Bidding at AdRoll
Brian Troutwine shares insight on using Erlang for a highly concurrent and very low latency bidding system implemented by Adroll.
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The Haxl Project at Facebook
Simon Marlow describes a concurrency-based system built with Haskell that allows front-end programmers to write business logic to access all the back-end services in a concise and consistent way.
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Fault Tolerance 101
Joe Armstrong discusses fault tolerant systems, summarizing the key features of Erlang and showing how they can be used for programming fault-tolerant and scalable systems on multi-core clusters.