Performance tuning Twitter services with Graal and Machine Learning

Track: Tools and Techniques

Running Twitter services on Graal has been very successful and saved Twitter a lot of money on datacenter cost. In order to save even more we are using our Machine Learning framework called Autotune to tune Graal inlining parameters.

Chris Thalinger

Chris Thalinger is a software engineer working on Java Virtual Machines for over 14 years. His main expertise is in compiler technology with Just-In-Time compilation in particular. Initially being involved with the CACAO and GNU Classpath projects, the focus shifted to OpenJDK as soon as Sun made the JDK open-source. Ever since Chris has worked on the HotSpot JVM at Sun, Oracle and now at Twitter.