(Almost) everything I knew about Java performance was wrong

Day 1 | 12:30 | 00:25 | UD2.208 (Decroly) | Andrew Haley

Note: I'm reworking this at the moment, some things won't work.

The stream isn't available yet! Check back at 12:30.

Much of the advice given to Java programmers seeking efficiency is misleading or out of date.

This talk is a result of the author's experience trying making the Java Virtual Machine more efficient, but it isn't just for JVM engineers, it is also relevant to Java programmers. We will cover wide-issue processors, branch and memory-access prediction, and the way Java programmers can use tools to illuminate what is really going on inside a computer when it runs their programs.

If you're looking for a talk about huge memories or millions of threads, this isn't it. Rather, it's about how small details can have surprising effects.

Mechanical Sympathy is when you use a tool or system with an understanding of how it operates best. "You don't have to be an engineer to be be a racing driver, but you do have to have Mechanical Sympathy."

Project: https://github.com/openjdk/jdk