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#openacc — Public Fediverse posts

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  1. For work I'm refreshing my knowledge on #OpenACC and I'm still wondering why anyone would want to touch that.

  2. All set for Supercomputing 2025 conference! @baylibre

  3. Unique opportunity for #AI and #ML engineers and data scientists!

    Together with #NVIDIA and #OpenACC organization, the #EuroCC National Competence Centres of Austria, Germany, and Poland will host an Open AI Hackathon for teams who want to accelerate, optimize, and scale their real-world projects leveraging the latest technologies.

    👉 EUROCC AI HACKATHON
    📆 October 14-23, 2025

    Apply until August 5, 2025: openhackathons.org/s/siteevent

  4. Again this year, the GNU Compiler Collection (#GCC) is happy to be part of ! See , , offloading (and more!) project ideas on <gcc.gnu.org/wiki/SummerOfCode>.
    @gnutools @openmp_arb

  5. The GCC 14.1 stable compiler release due out in the coming months will now have initial working support for both RDNA2 (GFX10.3) and RDNA3 (GFX11) graphics processors. This is intended for #OpenMP and #OpenACC offloading to the GPUs.

    More details at:
    phoronix.com/news/GCC-14-RDNA2

  6. Oh boy, they gave me further responsibilities in GCC: "Thomas Schwinge appointed co-maintainer of the nvptx backend", <inbox.sourceware.org/37d6cd4e->. 😳 🤖
    (That's the Nvidia GPU support in the @gnutools, used for and code offloading.)

  7. Attending , and bored on Thu morning, 09:30? I'll be presenting "Upcoming GPU C++ library support for GCC OpenACC/OpenMP offloading" at LLVM-CTH: The Fourth Workshop on LLVM Compiler and Tools for HPC. (Yes, @gnutools at the LLVM workshop--upon invitation of @llvm_dev.) 🫂
    <app.swapcard.com/event/isc-hig==>, <hps.vi4io.org/events/2023/llvm>.
    , ,

  8. [NEW ONLINE EVENT] SciML GPU Bootcamp, 21-22 Feb 2023.
    Experts from @nvidia and guide us on how scientific machine learning can address domain-specific data challenges and extract insights from scientific datasets.
    Register now!👇
    enccs.se/events/2023-02-sciml-

  9. After the lecture, I am already a bit wary of investing codes in GPU. It looks powerful for sure, but the vendor lock-in is a problem. I should also check out if there are any #PRACE courses in #OpenACC / #OpenMP