Cliff Click discusses RAIN, H2O, JMM, Parallel Computation, Fork/Joins in the context of performing big data analysis on tons of commodity hardware.
Gil Tene explains how a garbage collector works, covering the fundamentals, mechanism, terminology and metrics. He classifies several GCs, and introduces Azul C4.
Lars Bak presents several language virtual machines (Self, Strongtalk, Hotspot), why they matter and how they influenced V8 and Dart. His talk is centered on performance.
John Garbutt discusses the components used for building a cloud, comparing different cloud offerings existing on the market.
Hoi Chan discusses attaining efficiency in cloud computing by streaming and multiplexing VMs, sharing storage, along with safety analysis for efficient patching.
Attila Szegedi shares lessons learned tuning the JVM at Twitter, spending most of his talk discussing memory tuning, CPU usage tuning, and lock contention tuning.
Josh Suereth presents the new features available in Akka 2.0: clustered actors, including stateless and stateful ones, replication and the Cluster API.
Erik Onnen attempts to demonstrate that Java is still the best programming language for the JVM if simplified idioms are used along with proper tooling.
Rúnar Bjarnason discusses Scalaz, a Scala library of pure data structures, type classes, highly generalized functions, and concurrency abstractions to perform functional programming in Scala.
Zach Tellman explains how to deal with asynchronous programming difficulties in Clojure using an event-driven data structure.
Charles Fry presents MapMaker, an in-memory caching solution on the JVM, discussing its API and implementation evolution along with internal details.
Attila Szegedi discusses performance problems encountered at Twitter running Java and Scala applications, presenting how they solve them through JVM tuning.