John Nolan shows the state of hardware acceleration with GPUs and FPGAs, why it's hard to write efficient code for them, and why to favor polymorphism over if statements for performance.
Software developers spend a lot of their time working in an IDE or editor. JetBrains Tool Evangelist Hadi Hariri talking about expanding IDE offerings, Jetbrains Open-Source experiences and community contributions, Objective-C and dynamic language IDE's, tool integration and a sneak preview into the future of software development.
Martin Thompson and David Farley discuss how to use the scientific method to create high performance systems by measuring performance and adapting the implementation to approach the limits of current hardware. The disruptor architecture is an open sourced result of their work at low-latency, high throughput systems for the retail trading platform of LMAX Ltd.
Mike Lee and Brian LeRoux discuss how patents affect app developers and approaches to keep away patent trolls. Also: when to choose native GUIs over web GUIs for mobile apps - and when not.
Based on his experience of writing BitTorrent clients - Combinatorrent and Etorrent – in Haskell and Erlang respectively, Jesper Louis Andersen presents the advantages of using these languages as well as the challenges that he encountered. He details how did he exploit the elegance of each of these two languages to leverage robust concurrency based on message-passing.
Rob Pike discusses Google Go: OOP programming without classes, Go interfaces, Concurrency with Goroutines and Channels, and the Go features that help keep GC pauses short.
Rob Pike discusses concurrency in programming languages: CSP, channels, the role of coroutines, Plan 9, MapReduce and Sawzall, processes vs threads in Unix, and more programming language history.
Cliff Click discusses the Pauseless GC algorithm and how Azul's Zing implements it on plain x86 CPUs. Also: what keeps dynamic languages slow on the JVM, invokedynamic, concurrency and much more.
In this interview Martin Odersky, the creator of the Scala language talks about work on the next version of Scala and how the functionalities in the JVM help make Scala better. Odersky touches on how some of the most popular entities on the web, such as Twitter and LinkedIn use Scala. And he discusses the complexity of the language and its role as a functional and object-oriented language.