Balancing the main performance indicators peak throughput, startup time, memory footprint, maximum latency, and packaging size is key for optimizing your application. GraalVM offers a just-in-time (JIT) and ahead-of-time (AOT) execution mode with different trade-offs on these metrics. This session will show how to get the most out of GraalVM for the metrics you care about! It will also cover the unique polyglot capabilities of GraalVM with uniform tooling and interoperability model for all GraalVM supported languages.
Thomas Wuerthinger is researcher at Oracle Labs Switzerland. His research interests include Virtual Machines, Feedback-directed Runtime Optimizations, and Static Program Analysis. His current focus is the Graal project that aims at developing a new dynamic compiler for Java. Additionally, he is the architect of the Truffle self-optimizing runtime system, which uses partial evaluation for automatically deriving high-performance compiled code from AST interpreters.
Before joining Oracle Labs, he has worked on the IdealGraphVisualizer, the Crankshaft/V8 optimizing compiler, and the Dynamic Code Evolution VM. He received a PhD degree from the Johannes Kepler University Linz.
Thanks to Rakuten for providing us with the venue and Nodeflair for the refreshments.
7:00 pm -- Food & drinks
7:20 pm -- Meetup group announcements (Scala and Java User Group)
7:25 pm -- Venue / event host and sponsor announcements
7:30 pm -- Presentation
8:45 pm -- Q&A