Rick Hudson discusses the motivation, performance, and technical challenges of Go's low latency concurrent GC and why the approach fits Go well.
Yehuda Katz introduces Rust: the ownership system, automatic memory management which guarantees at compile time that a program will never segfault, making Rust code resilient against memory leaks.
Rifat Shahriyar, Steve Blackburn, Kathryn McKinley show that conservative garbage collectors using Immix can be as performant and sometimes even faster than generational GCs.
Gil Tene introduces org.ObjectLayout and StructuredArray, the APIs and design considerations that allow Java JDKs to match C on data structure access speeds.
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.
Kirk Pepperdine explains how to use the G1GC logging to improve app performance while reducing its hardware footprint.
Eva Andreasson has a fairly entertaining and yet painful presentation around garbage collection that will probably will end with more questions than answers.
Jonathan Worthington explains the garbage collection terminology, the trade-offs made by GC designers, and how to write GC-friendly code for better performance.
Charlie Hunt and Monica Beckwith describe the operational basics of G1 and how to tune it, along with tips on what to expect when migrating from Parallel GC or CMS to G1 GC.
Gil Tene discusses JVM observation-based runtime optimizations, ordering and memory model rules, basics GC functions, memory management, and JVM mechanics.
Ben Evans discusses garbage collection in Java along with some tooling for understanding and visualizing how it works.
Emad Benjamin explains how to deploy and tune a JVM on a virtual infrastructure (vSphere), and how to tune the garbage collector in this environment.