
- Topics
- Dynamic Languages,
- Parallel Programming,
- Compilers,
- Ruby,
- Virtualization,
- Runtimes,
- Java,
- .NET,
- Architecture,
- Performance & Scalability
Cliff Click discusses the Pauseless GC algorithm and how Azul's Zing implements it on plain x86 CPUs. Also: what keeps dynamic languages slow on the JVM, invokedynamic, concurrency and much more.

- Topics
- Java,
- Technology,
- Architecture,
- Performance & Scalability,
- Code Analysis
In this presentation from the JVM Languages Summit 2009, Cliff Click discusses the Von Neumann architecture, CISC vs RISC, the rise of multicore, Instruction-Level Parallelism (ILP), pipelining, out-of-order dispatch, static vs dynamic ILP, performance impact of cache misses, memory performance, memory vs CPU caching, examples of memory/CPU cache interaction, and tips for improving performance.

- Topics
- Java,
- Code Analysis
In this presentation from the JVM Languages Summit 2008, Cliff Click discusses how to optimize generated bytecode for running on the JVM. Click analyzes and reports on Java, Scala, Clojure, JRuby, JPC and JavaScript/Rhino and points out several places where each of them could increase their performance such as elimination of FixNums, escape analysis and best practices for testing bytecode.