Nik Molnar discusses how to use client and server side profiling tools to improve the performance of a web application, providing solutions to the most common performance problems.
Rick Hudson discusses the motivation, performance, and technical challenges of Go's low latency concurrent GC and why the approach fits Go well.
Emad Benjamin covers various GC tuning techniques and how to best build platform engineered systems; in particular the focus is on tuning large scale JVM deployments.
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.