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#tornadovm — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #tornadovm, aggregated by home.social.

  1. It was really awesome to have Michalis Papadimitriou visit #Netflix today to talk about #TornadoVM and programming for the GPU in #Java with the Java Platform teams! Very cool to see the power of #OpenJDK, #JVMCI, and the extensibility of #Graal's #JIT compiler in action!

  2. It was really awesome to have Michalis Papadimitriou visit #Netflix today to talk about #TornadoVM and programming for the GPU in #Java with the Java Platform teams! Very cool to see the power of #OpenJDK, #JVMCI, and the extensibility of #Graal's #JIT compiler in action!

  3. At @devoxx and #NLJUG #JFall conferences, I interviewed speakers and attendees for the @foojay #Podcast. In part 1, you'll learn more about ongoing #OpenJDK projects and #TornadoVM.

    Guests: Moritz Halbritter, John Ceccarelli, Balkrishna Rawool, Christos Kotselidis, and Michalis Papadimitriou.

    Watch on YouTube or listen in your favorite podcast app.

    youtube.com/watch?v=Srxy_ukw3-k

  4. At @devoxx and #NLJUG #JFall conferences, I interviewed speakers and attendees for the @foojay #Podcast. In part 1, you'll learn more about ongoing #OpenJDK projects and #TornadoVM.

    Guests: Moritz Halbritter, John Ceccarelli, Balkrishna Rawool, Christos Kotselidis, and Michalis Papadimitriou.

    Watch on YouTube or listen in your favorite podcast app.

    youtube.com/watch?v=Srxy_ukw3-k

  5. LangChain4j 1.7.1 is out and now integrates GPU-accelerated large language model (LLM) via GPULlama3.java and TornadoVM

    #ai #gpu #java #langchain4j #llama #llm #tornadovm

    github.com/langchain4j/langcha

  6. LangChain4j 1.7.1 is out and now integrates GPU-accelerated large language model (LLM) via GPULlama3.java and TornadoVM

    #ai #gpu #java #langchain4j #llama #llm #tornadovm

    github.com/langchain4j/langcha

  7. There’s #Java. And then there’s what lies beneath. From #SpringAI to #TornadoVM to Babylon – Artur Skowronski explores what hides below the surface in his Java Iceberg: compilers, runtimes, exotic tools & forgotten #APIs.

    → Explore: javapro.io/2025/05/29/under-th

    #CRaC #Micronaut

  8. There’s #Java. And then there’s what lies beneath. From #SpringAI to #TornadoVM to Babylon – Artur Skowronski explores what hides below the surface in his Java Iceberg: compilers, runtimes, exotic tools & forgotten #APIs.

    → Explore: javapro.io/2025/05/29/under-th

    #CRaC #Micronaut

  9. Finally found the downtime to complete this fantastic survey of managed runtimes (e.g. the JVM) and heterogeneous hardware (e.g. CPUs and GPUs or FPGAs) by @[email protected], @[email protected], and @[email protected].

    Required reading for those who want a look at the future of software development.

    #TornadoVM #JOCL #OpenCL #CUDA

    (comment on "Programming Heterogeneous Hardware via Managed Runtime Systems")

  10. My copy of @snatverk, @thanos_str, and @kotselidis's new book "Programming Heterogeneous Hardware via Managed Runtime Systems" just arrived! Can't wait to read it! #TornadoVM

    link.springer.com/book/10.1007

  11. RT by @EU_HaDEA: 🚀🚀🚀New release!🚀🚀🚀
    Awesome half-float #FP16 support by #TornadoVM for AI/ML!
    Great work by the team!
    @UKRI_News
    @EU_HaDEA

    🐦🔗: nitter.cz/CKotselidis/status/1

    [2024-01-30 13:03 UTC]

  12. Got #TornadoVM installed and running on my local Linux laptop, a #Lenovo 14s Thinkpad with an 10th generation Intel® Core™ CPU and an integrated Intel® UHD graphics card.

    Took a bit of futzing around with runtime dependencies, but the required packages (for Ubuntu Jammy) were:

    intel-basekit
    intel-oneapi-runtime-opencl
    intel-opencl-icd

    I also had to explicitly set

    LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/opt/intel/oneapi/compiler/2023.2.1/linux/compiler/lib/intel64_lin

    #Java #Graal #JIT #ML #OpenCL

  13. @stuartmarks @snatverk we were lucky enough to have Juan stop by #Netflix a few weeks ago to talk to our performance engineering and #JVM teams about #TornadoVM…really awesome to see this work.

  14. "Enabling Transparent Acceleration of Big Data Frameworks Using Heterogeneous Hardware"

    Enjoyed reading this paper by Maria Xekalaki et al. about transparently morphing #ApacheFlink jobs for execution on GPUs and FPGAs, via #TornadoVM.

    vldb.org/pvldb/vol15/p3869-xek