Sylvan Clebsch introduces Pony, a language built on the actor model which combines new approaches to garbage collection and concepts like capabilities to write high performance, concurrent code.
Rick Hudson talks to Charles Humble about the evolution of Go’s garbage collector, comparing 1.5 to the forthcoming 1.6 release, and also touching on plans for 1.7.
Andrew Sorensen explains live music coding with Extempore, the challenges of real time programming, garbage collection, static analysis to determine real time code meets its deadlines, hotswapping code, and much more.
Todd Montgomery talks about the Internet of Things: what it is and is not, looking at languages and protocols that will be useful, concurrency, manual memory management vs GC, and much more. Also: Kaazing's Nuklei project.
Felix Klock II explains concepts of the Rust language: the concurrency model, the type system, allocation and ownership models, the macro system, its style of FP and OOP, and much more.
Francesco Cesarini and Viktor Klang explain the motivation behind the Reactive Manifesto and what exactly it brings to the table. Also: what Erlang and Scala/Akka can learn from each other.
Cliff Click explains 0xdata's H20, a clustering and in-memory math and statistics solution (available for Hadoop and standalone), writing H20's memory representation and compression in Java, low latency Java vs GCs, and much more.
Keith Adams explains how/where/why Facebook uses PHP, PHP's benefits (lack of state/programmer workflow/concurrency), efficient PHP with HHVM, the Hack project for optional typing PHP and much more.
Eva Andreasson explains the various Hadoop technologies and how they interact, real-time queries with Impala, the Hadoop ecosystem including Hue, Oozie, YARN, and much more.
Laurent Sansonetti explains using Ruby for iOS development with RubyMotion, how Garbage Collection works in RubyMotion, the library ecosystem, the state of debugging and profiling, and much more.
Gil Tene talks about how to achieve low latency and responsiveness in Java applications despite the GC, how the GC in Azul's Zing helps, where low latency is crucial, and much more.
Rupert Smith explains how to write low-latency code on plain JVMs (not realtime VMs) and how to avoid GC pauses. Also: how to exploit the capabilities of FPGAs to improve performance.