David Richardson presents the optimization techniques employed to set three world speed records using a combination of code generation and hardware specific optimizations.
Sebastian Zarnekow discusses JVM internal optimizations, presenting how the JVM sees through code to apply techniques like inlining, loop unrolling and escape analysis at runtime.
Gil Tene provides an overview of JIT compiler optimization techniques and their impact on common market-open slowdown scenarios.
Lari Hotari discusses how to optimize Grails' performance to get full benefits from it.
Viktor Klang shows the purpose and power of streaming concurrent data processing with safe bounds using back pressure, discussing Akka streams and dynamic runtime as well as compile time optimizations
Eddy Bruel details how objects are implemented internally in SpiderMonkey as shape trees and slot vectors to minimize the memory footprint and obtain better JIT optimization with inline caching.
Guilherme Ottoni presents the design, implementation, and an evaluation of the HipHop compiler for PHP.
David Nolen unveils optimization techniques behind ClojureScript: code size, expression-oriented semantics, numerics, operations on JS primitive types, persistent data structures, etc.
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.
Dan North and Chris Read discuss techniques for implementing Agile Operations, a combination of Lean thinking and Agile development meant to optimize the business processes in order to reduce waste.
Hamlet D'Arcy explains the Lean principles - Eliminate Waste, Build Quality In, Create Knowledge, Defer Commitment, Deliver Fast, Respect People, Optimize the Whole – in the context of using Groovy.