James Spooner explains how Data Flow Parallelism works and how it helps to design efficient parallel algorithms. Also: OOP vs. Parallelism.
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.
Mike Williams, co-creator of Erlang discusses the history of and influences on Erlang as well as languages and paradigms used at Ericsson for large scale development and embedded programming.
Kostis Sagons talks about how type checking can help with a dynamic language like Erlang and how static analysis tools like Dialyzer or automated refactoring tools like Tidier help keep code clean.
Ville Tuulos talks about Disco, the Map/Reduce framework for Python and Erlang, real-world data mining with Python, the advantages of Erlang for distributed and fault tolerant software, and more.
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 Ryan discusses Clojure with author Chris Houser. They cover Clojure's approach to classes, comparing and contrasting it with Java. Chris delves into they type of programming problem sets Clojure is best suited for, especially in relation to parallelism as the number of cores in computers increases and Clojure's applicability as or research language.
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.
Dean Wampler discusses the state of Scala: the big changes in 2.8, the Scala on .NET, concurrency and parallelism with Scala and Akka, and experiences with adoption of functional languages.