CLOJURE FOR DATA SCIENCE & PERFORMANCE TUNING TWITTER SERVICES WITH GRAAL AND ML

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Voici le programme de ce meetup :

- CLOJURE FOR DATA SCIENCE(talk en anglais)
In the early 2010s, Clojure was one of the most popular languages for data science.
Although Python is much more popular now, Clojure has a lot of assets and many promising projects are on the way.
This talk aims at discussion the ups and downs of Clojure for data science through time and present the recent tools that will make its strength in the coming years.
SPEAKER : Stéphane Labruyère
Stéphane is an engineer and fullstack developer at BeOp, where Clojure is everywhere. He discovered data science at the University of Waterloo in Canada, while he was working on quantum error correction.

- PERFORMANCE TUNING TWITTER SERVICES WITH GRAAL AND MACHINE LEARNING (talk en anglais)
Running Twitter services on Graal has been very successful and saved Twitter a lot of money on datacenter cost. But we would like to run more efficient to reduce cost even more. I mean, who doesn’t? In order to do this we are using our Machine Learning framework called Autotune to tune Graal inlining parameters. This talk will show how much performance improvement we got by autotuning Graal.
SPEAKER : 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.

à la fin on vous proposera une 3ème mi-temps dans un bar pour parler de ces sujets !