Scott Seighman discusses causes of common performance issues in Big Data environments, heap size, garbage collection, JVM reuse tuning guidelines and Big Data performance analysis tools.
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.
The authors introduce Cybertron, a new tool for reducing I/O operations in data-parallel programs through a constraint-based encoding.
Donald Belcham shares from his experience tuning the performance of a system in a short time.
Lari Hotari discusses how to optimize Grails' performance to get full benefits from it.
The panelists discuss Java performance topics, bringing their specific experiences to bear.
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.
Gunnar Hillert and Chris Schaefer examine various scalability options in order to improve the robustness and performance of the Spring Batch applications.
The session covers various GC tuning techniques, in particular focusing on tuning large scale JVM deployments and showing how to optimally size a platform for enhanced memory consumption.
Ovidiu Dimulescu provides tips for working with local and remote JVMs, startup flags, analyzing and correlating thread dumps with CPU consumption, instrumentation, multi-tenant JVMs, memory games, etc