François Farquet

Consulting Performance Engineer @OracleLabs / @GraalVM. Opinions are my own.

[François Farquet @FFarquet]

Here is an awesome dashboard showing how GraalVM JIT performance evolved over the last year. With details of all individual performance changes: https://t.co/LsWXraxspd

This is work by the performance experts of Charles University in Prague in Petr Tuma's group.

👇 1/10

[Thomas Wuerthinger @thomaswue]

Please help spread the word about our @graalvm 25 release 🚀🏆!

[Thomas Wuerthinger @thomaswue]

@axelfontaine @Devoxx Do not worry, @GraalVM stays around and will continue to make programs run faster and more efficient.

[François Farquet @FFarquet]

@marclou Nice! You would be a strong freediver!

[Fabio Niephaus @fniephaus]

We just merged the current status of the upcoming JDWP support for @GraalVM Native Image! 🥳

This will soon provide developers with the same debugging experience they are used to in Java, but for native images! Stay tuned for more details.

https://t.co/UmNLnaLns9

[François Farquet @FFarquet]

Nice! Now compatible with latest JDK again

[Renaissance Suite @renaissancejvm]

Renaissance 0.16 is out! The new release improves compatibility with Java 23+, integrates numerous platform and library updates, and adds validation to several benchmarks. Contributions are always welcome! Check the details at https://t.co/9vvL7VQUxU #Java #Scala #Benchmarking

[François Farquet @FFarquet]

@TintinFournier C’est article n’a aucun sens. Merci pour la perle.

[Аlina Yurenko 🇺🇦 @alina_yurenko]

.@GraalVM-based Native Kafka Broker looks amazing!🚀🔥
Charts and observations from https://t.co/OY55WrphGo:
— avg startup time is ~130ms;
— No CPU spike is observed for GraalVM; the JVM broker had sudden spikes when the broker started and also when the load testing started.
— for JVM broker the max memory usage went up to ~1GB. For GraalVM is was ~500MB with G1GC and ~250MB with serial GC.

#GraalVM #Kafka #performance

[François Farquet @FFarquet]

@florian_tramer Right. The problem here is that the marketing department implies that recovering non-existing data is possible.

To be fair, all phone photos are already greatly altered by software (combined images, low pass filters, color correction, etc).
Are they still real?

[François Farquet @FFarquet]

@alina_yurenko @jbaruch @gradle Looks nice!

Almost as nice as the desk I’m using today. Right, @alina_yurenko ?

[François Farquet @FFarquet]

@Sharat_Chander @jcon_conference @alina_yurenko @alina_yurenko: ✌️💁🏼‍♀️

@fniephaus: “I don’t know this girl”

[Codruț Stancu @cstancu]

It's finally out!
Teaser: Linearly scalable and sound, yet precise, static analysis for Java.
Spoiler: Analyzing @springframework PetClinic 5x faster!

Link to PDF: https://t.co/ktRnRtF2wu
#PLDI2024

[François Farquet @FFarquet]

@alina_yurenko Yeah. My dad was just visionary in its way of using Google Search.

[François Farquet @FFarquet]

@MathieuAvanzi Parce qu’en Valais, on regarde la télé le soir 📺, mais on prend le télè la journée ! 🚠

[François Farquet @FFarquet]

@francoisfleuret Now we all want to know what moof is!
Is the goal to have it say ‘spoon’?
(But I guess it will now since X is likely in the training set)

[GraalVM @graalvm]

What would you like to see in GraalVM?
Let us know by sharing your feedback in our community survey!📝
It takes less than 5 minutes and we will use your feedback to plan future releases.
Share now: https://t.co/Lq1TQbQPyE

[François Farquet @FFarquet]

@vinceflibustier Même expérience à travers le monde en tant que suisse!

[François Farquet @FFarquet]

@Sharat_Chander @Oracle_NL Utrecht office is beautiful!

[Oracle Labs @oraclelabs]

Recently we visited @ICepfl again to meet with students and talk about the research projects we do at @OracleLabs Switzerland. Thank you all for coming! You can find information about our projects and open positions at https://t.co/MwTh2dmxjz

#internship #research

[François Farquet @FFarquet]

@TintinFournier 5/8 sont avocats ou notaires. Belle diversité là également :)

[François Farquet @FFarquet]

@TintinFournier @LuisierD @suissepad @plrvs @mariannemaret Avec 1000-2000 voix d’écarts, peut-être que ces éléments auraient pu jouer.
Mais pas avec 18’000 d’écarts avec un candidat qui régresse par rapport à 2019 face à une sortante en grande progression et qui le bat dans tout le canton.
C’est un peu masochiste…