Home Conference Sessions GraalVM: Run Pro...

GraalVM: Run Programs Faster Anywhere

Oleg Šelajev | GOTO Berlin 2018

You need to be signed in to add a collection

GraalVM project enhances the Java ecosystem with an integrated, polyglot, high-performance execution environment for dynamic, static, and native languages. GraalVM supports Java, Scala, Kotlin, Groovy, and other JVM-based languages. At the same time, it can run the dynamic scripting languages JavaScript including node.js, Ruby, R, and Python. In this session you'll see demos and learn what you can do with GraalVM, from using it as the JVM JIT compiler, enhancing the JIT, running native and polyglot programs, compiling them ahead of time for faster startup and lower runtime overhead, debugging your polyglot code using exact same tools for any language, to profiling performance and memory of your application and embedding GraalVM in a native application for portability. GraalVM offers you the opportunity to write the code in the language, which suits the problem the best, and run the resulting program really fast wherever you like: JVM, native code, even inside a database.

Share on:
linkedin facebook
Copied!

Transcript

GraalVM project enhances the Java ecosystem with an integrated, polyglot, high-performance execution environment for dynamic, static, and native languages. GraalVM supports Java, Scala, Kotlin, Groovy, and other JVM-based languages. At the same time, it can run the dynamic scripting languages JavaScript including node.js, Ruby, R, and Python.

In this session you'll see demos and learn what you can do with GraalVM, from using it as the JVM JIT compiler, enhancing the JIT, running native and polyglot programs, compiling them ahead of time for faster startup and lower runtime overhead, debugging your polyglot code using exact same tools for any language, to profiling performance and memory of your application and embedding GraalVM in a native application for portability.

GraalVM offers you the opportunity to write the code in the language, which suits the problem the best, and run the resulting program really fast wherever you like: JVM, native code, even inside a database.

About the speakers

Oleg Šelajev

Oleg Šelajev

Developer Advocate at Oracle