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#openmp

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Christos Argyropoulos MD, PhD<p>Brought together our two <a href="https://mstdn.science/tags/TitanComputers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TitanComputers</span></a> that used to support two different projects to set up a small <a href="https://mstdn.science/tags/MPI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MPI</span></a> / <a href="https://mstdn.science/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> cluster (96 physical cores, 1TB DRAM, 40TB storage). We will probably drop a couple of GPUs inside them later on, but for now, they will support our EMR data analytics on the <a href="https://mstdn.science/tags/CPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CPU</span></a></p>
Christos Argyropoulos<p>Brought together our two <a href="https://mast.hpc.social/tags/TitanComputers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>TitanComputers</span></a> that used to support two different projects to set up a small <a href="https://mast.hpc.social/tags/MPI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MPI</span></a> / <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> cluster (96 physical cores, 1TB DRAM, 40TB storage). We will probably drop a couple of GPUs inside them later on, but for now, they will support our EMR data analytics on the <a href="https://mast.hpc.social/tags/CPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CPU</span></a></p>
OpenMP ARB<p>🚀 Explore the latest OpenMP 6.0 webinar by POP! </p><p>Learn about the strategic roadmap, enhanced base language support (C23, C++23, FORTRAN), innovative tasking (free-agent threads, taskgraphs, iteration concepts), advanced loop transformations (user-defined inductions), threadsets, transparent tasks, and new device offloading features.</p><p>▶️ Watch here: <a href="https://youtu.be/YTbPPhOjO58" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">youtu.be/YTbPPhOjO58</span><span class="invisible"></span></a><br>📥 Slides: <a href="https://bit.ly/3OpnMP6" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">bit.ly/3OpnMP6</span><span class="invisible"></span></a></p><p><a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a></p>
OpenMP ARB<p>📢 Call for Papers – IWOMP 2025</p><p>The premier OpenMP workshop invites unpublished research on all aspects of parallel programming.</p><p>📅 Submission deadline: May 16, 2025 (AoE)<br>🗓️ Oct 1–3 | 📍 UNC Charlotte, USA | Co-located with <a href="https://mast.hpc.social/tags/EuroMPI2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EuroMPI2025</span></a></p><p>🧠 2025 Theme: Balancing Productivity and Performance Portability</p><p>Accepted papers will be published in Springer LNCS.</p><p>🔗 <a href="https://www.iwomp.org/call-for-papers/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">iwomp.org/call-for-papers/</span><span class="invisible"></span></a></p><p><a href="https://mast.hpc.social/tags/IWOMP2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>IWOMP2025</span></a> <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> <a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://mast.hpc.social/tags/CFP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CFP</span></a></p>
Amartya<p>My brain is absolutely fried. <br>Today is the last day of coursework submissions for this semester. What a hectic month. <br>DNN with PyTorch, Brain model parallelisation with MPI, SYCL and OpenMP offloading of percolation models,hand optimizing serial codes for performance.<br>Two submissions due today. Submitted one and finalising my report for the second one. <br>Definitely having a pint after this</p><p><a href="https://fosstodon.org/tags/sycl" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>sycl</span></a> <a href="https://fosstodon.org/tags/hpc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hpc</span></a> <a href="https://fosstodon.org/tags/msc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>msc</span></a> <a href="https://fosstodon.org/tags/epcc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>epcc</span></a> <a href="https://fosstodon.org/tags/cuda" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>cuda</span></a> <a href="https://fosstodon.org/tags/pytorch" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pytorch</span></a> <a href="https://fosstodon.org/tags/mpi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>mpi</span></a> <a href="https://fosstodon.org/tags/openmp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>openmp</span></a> <a href="https://fosstodon.org/tags/hectic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hectic</span></a> <a href="https://fosstodon.org/tags/programming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>programming</span></a> <a href="https://fosstodon.org/tags/parallelprogramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>parallelprogramming</span></a> <a href="https://fosstodon.org/tags/latex" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>latex</span></a></p>
OpenMP ARB<p>🚀 Intel Developer Tools v2025.1 is here with new OpenMP 6.0 features! </p><p>The Intel® Fortran Compiler enhances <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> 6.0 support with two powerful additions: WORKDISTRIBUTE for efficient thread-level work distribution, and INTERCHANGE to reorder loop nests for improved parallelism and optimization. </p><p>A big win for HPC and embedded devs! </p><p><a href="https://www.intel.com/content/www/us/en/developer/articles/news/oneapi-news-updates.html#2025.1" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">intel.com/content/www/us/en/de</span><span class="invisible">veloper/articles/news/oneapi-news-updates.html#2025.1</span></a></p><p><a href="https://mast.hpc.social/tags/Fortran" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Fortran</span></a> <a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://mast.hpc.social/tags/Embedded" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Embedded</span></a> <a href="https://mast.hpc.social/tags/ParallelComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ParallelComputing</span></a></p>
HGPU group<p>Advances in Semantic Patching for HPC-oriented Refactorings with Coccinelle</p><p><a href="https://mast.hpc.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CUDA</span></a> <a href="https://mast.hpc.social/tags/HIP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HIP</span></a> <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> <a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://mast.hpc.social/tags/Package" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Package</span></a></p><p><a href="https://hgpu.org/?p=29849" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">hgpu.org/?p=29849</span><span class="invisible"></span></a></p>
HGPU group<p>The Shamrock code: I- Smoothed Particle Hydrodynamics on GPUs</p><p><a href="https://mast.hpc.social/tags/SYCL" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SYCL</span></a> <a href="https://mast.hpc.social/tags/ROCm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ROCm</span></a> <a href="https://mast.hpc.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CUDA</span></a> <a href="https://mast.hpc.social/tags/PTX" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PTX</span></a> <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> <a href="https://mast.hpc.social/tags/MPI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MPI</span></a> <a href="https://mast.hpc.social/tags/Astrophysics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Astrophysics</span></a> <a href="https://mast.hpc.social/tags/Physics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Physics</span></a> <a href="https://mast.hpc.social/tags/Package" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Package</span></a></p><p><a href="https://hgpu.org/?p=29827" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">hgpu.org/?p=29827</span><span class="invisible"></span></a></p>
OpenMP ARB<p>🚀 Ready to test the limits of performance?</p><p>Join the <span class="h-card" translate="no"><a href="https://fosstodon.org/@EPCC" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>EPCC</span></a></span> Hackathon on AMD GPUs and explore the cutting-edge <a href="https://mast.hpc.social/tags/MI300A" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MI300A</span></a> and AMD’s Next Generation <a href="https://mast.hpc.social/tags/Fortran" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Fortran</span></a> Compiler with <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> offload!</p><p>💻 Bring your code, ideas, and curiosity.<br>🔧 Optimize, accelerate, and innovate with us.<br>🏆 Let’s see what you can build!</p><p>🔗 <a href="https://www.archer2.ac.uk/training/courses/250527-amd-hackathon/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">archer2.ac.uk/training/courses</span><span class="invisible">/250527-amd-hackathon/</span></a></p><p><a href="https://mast.hpc.social/tags/AMDGPU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>AMDGPU</span></a> <a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://mast.hpc.social/tags/GPUComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPUComputing</span></a> <a href="https://mast.hpc.social/tags/Hackathon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Hackathon</span></a> <a href="https://mast.hpc.social/tags/OpenScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenScience</span></a></p>
OpenMP ARB<p>Missed the HPC training course of EuroCC Greece? The full recording is now online and available in Greek!</p><p>▶️ Learn the basics of <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> &amp; <a href="https://mast.hpc.social/tags/MPI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MPI</span></a><br>⚙️ Discover how to access <a href="https://mast.hpc.social/tags/EuroHPC_JU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EuroHPC_JU</span></a> supercomputers and the Greek HPC infrastructure</p><p>Ideal for students, researchers, and anyone curious about parallel programming and high-performance computing.</p><p>📺 Watch here: <a href="https://www.youtube.com/playlist?list=PLDXx3HYfIJMoK5vAmoMn-m0cDp4PSIi_g" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/playlist?list=PLDX</span><span class="invisible">x3HYfIJMoK5vAmoMn-m0cDp4PSIi_g</span></a></p><p><a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://mast.hpc.social/tags/Training" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Training</span></a> <a href="https://mast.hpc.social/tags/Supercomputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Supercomputing</span></a> <a href="https://mast.hpc.social/tags/Greece" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Greece</span></a> <a href="https://mast.hpc.social/tags/EuroHPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>EuroHPC</span></a></p>
HGPU group<p>A Microbenchmark Framework for Performance Evaluation of OpenMP Target Offloading</p><p><a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> <a href="https://mast.hpc.social/tags/Benchmarking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Benchmarking</span></a> <a href="https://mast.hpc.social/tags/Performance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Performance</span></a> <a href="https://mast.hpc.social/tags/Package" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Package</span></a></p><p><a href="https://hgpu.org/?p=29809" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">hgpu.org/?p=29809</span><span class="invisible"></span></a></p>
Gerardo Cisneros<p><span class="h-card" translate="no"><a href="https://mast.hpc.social/@hpcnotes" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>hpcnotes</span></a></span>: The directive-based predecessors to <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> that were available in both Cray Research, Inc., and Silicon Graphics, Inc., compilers in the early to mid-90s. After the so-called merger, OpenMP arose from both.</p>
Andrew Jones (hpcnotes)<p>Which language/technology did you use when developing your first parallel program?</p><p><a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a>? <a href="https://mast.hpc.social/tags/MPI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MPI</span></a>? <a href="https://mast.hpc.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CUDA</span></a>? <a href="https://mast.hpc.social/tags/pthreads" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>pthreads</span></a>? <a href="https://mast.hpc.social/tags/Coarrays" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Coarrays</span></a>? <a href="https://mast.hpc.social/tags/UPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>UPC</span></a>? Something else?</p><p><a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a></p>
Christian Meesters<p>Interested in <a href="https://fediscience.org/tags/MPI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MPI</span></a> and <a href="https://fediscience.org/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> parallel programming to speed up your scientific applications written in <a href="https://fediscience.org/tags/C" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>C</span></a>, <a href="https://fediscience.org/tags/Cpp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cpp</span></a>, <a href="https://fediscience.org/tags/Fortran" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Fortran</span></a> or <a href="https://fediscience.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> (with <a href="https://fediscience.org/tags/numpy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>numpy</span></a>)?</p><p>Attend our course in <a href="https://fediscience.org/tags/Mainz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mainz</span></a> at the Johannes Gutenberg University (<a href="https://fediscience.org/tags/JGU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JGU</span></a>) for a 4-day course from 1. April to 4. April 2025! We still have plenty of space available!</p><p>See our announcement page for further details and to register: <a href="https://indico.zdv.uni-mainz.de/event/34/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">indico.zdv.uni-mainz.de/event/</span><span class="invisible">34/</span></a></p><p>Note, it is an on-site course.</p><p><span class="h-card" translate="no"><a href="https://wisskomm.social/@unimainz_events" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>unimainz_events</span></a></span></p>
OpenMP ARB<p>🚀 Workshops with Tim Mattson 💻</p><p>HRZ Universität Bonn is excited to host Tim Mattson from March 24–28, 2025! He’ll give an invited talk at the 1st anniversary of "Marvin" on March 25 &amp; lead three HPC workshops on March 27–28. Tim Mattson is a pioneer of OpenMP. Learn from an HPC legend!</p><p>📍 Workshops – Campus Poppelsdorf<br>📅 March 27–28 | Topics: OpenMP, GPUs, Floating Point Arithmetic</p><p>🔗 Register here: <a href="https://www.dice.uni-bonn.de/hpca/en/events" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">dice.uni-bonn.de/hpca/en/event</span><span class="invisible">s</span></a></p><p><a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> <a href="https://mast.hpc.social/tags/Supercomputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Supercomputing</span></a> <a href="https://mast.hpc.social/tags/ParallelProgramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ParallelProgramming</span></a></p>
OpenMP ARB<p>📢 Missed SC24? Catch Up on OpenMP &amp; What’s Next! 🚀</p><p>SC24 was packed with OpenMP highlights! Our newsletter covers:</p><p>🎉 OpenMP 6.0 Release! Plus, a blog on its implementation status.<br>🎥 SC24 booth videos &amp; an exclusive CEO interview.<br>🎓 OpenMP Course &amp; CSC Summer School—boost your parallel programming skills.</p><p>📩 Stay updated—read here: <a href="https://mailchi.mp/2af298afb442/thanks-for-your-interest-in-openmp-17457682" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mailchi.mp/2af298afb442/thanks</span><span class="invisible">-for-your-interest-in-openmp-17457682</span></a></p><p><a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> <a href="https://mast.hpc.social/tags/SC24" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SC24</span></a> <a href="https://mast.hpc.social/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://mast.hpc.social/tags/ParallelProgramming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ParallelProgramming</span></a> <a href="https://mast.hpc.social/tags/OpenMP6" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP6</span></a> <a href="https://mast.hpc.social/tags/Supercomputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Supercomputing</span></a></p>
HGPU group<p>Leveraging LLVM OpenMP GPU Offload Optimizations for Kokkos Applications</p><p><a href="https://mast.hpc.social/tags/Kokkos" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Kokkos</span></a> <a href="https://mast.hpc.social/tags/CUDA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CUDA</span></a> <a href="https://mast.hpc.social/tags/HIP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HIP</span></a> <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> <a href="https://mast.hpc.social/tags/PerformancePortability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>PerformancePortability</span></a> <a href="https://mast.hpc.social/tags/Package" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Package</span></a></p><p><a href="https://hgpu.org/?p=29747" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">hgpu.org/?p=29747</span><span class="invisible"></span></a></p>
Christian Meesters<p>Interested in <a href="https://fediscience.org/tags/MPI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MPI</span></a> and <a href="https://fediscience.org/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> parallel programming to speed up your scientific applications written in <a href="https://fediscience.org/tags/C" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>C</span></a>, <a href="https://fediscience.org/tags/Cpp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cpp</span></a>, <a href="https://fediscience.org/tags/Fortran" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Fortran</span></a> or <a href="https://fediscience.org/tags/Python" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Python</span></a> (with <a href="https://fediscience.org/tags/numpy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>numpy</span></a>)?</p><p>Attend our course in <a href="https://fediscience.org/tags/Mainz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Mainz</span></a> at the Johannes Gutenberg University (<a href="https://fediscience.org/tags/JGU" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>JGU</span></a>) for a 4-day course from 1. April to 4. April 2025!</p><p>See our announcement page for further details and to register: <a href="https://indico.zdv.uni-mainz.de/event/34/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">indico.zdv.uni-mainz.de/event/</span><span class="invisible">34/</span></a></p><p>Note, it is an on-site course.</p><p><a href="https://fediscience.org/tags/RSE" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>RSE</span></a> <a href="https://fediscience.org/tags/HPC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HPC</span></a> <a href="https://fediscience.org/tags/scientificsoftware" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>scientificsoftware</span></a></p>
Tom Hayward<p>Any <a href="https://mastodon.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> lawyers?</p><p>Is this not legal?<br>nvfortran complains that nloop is not shared or private. Do loop trip-counts really need to be?<br>And for reduction variables (loopsum) too?</p><p>program test_omp_private<br> implicit none<br> integer :: iloop, nloop<br> integer :: loopsum</p><p> nloop = 10000<br> loopsum = 0</p><p> !$omp parallel do default(none) firstprivate(loopsum) reduction(+:loopsum)<br> do iloop = 1,nloop<br> loopsum = loopsum + iloop<br> end do<br> !$omp end parallel do</p><p>end program</p><p><a href="https://mastodon.social/tags/fortran" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>fortran</span></a> <a href="https://mastodon.social/tags/hpc" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>hpc</span></a></p>
HGPU group<p>Thesis: Modernization and Optimization of MPI Codes</p><p><a href="https://mast.hpc.social/tags/MPI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MPI</span></a> <a href="https://mast.hpc.social/tags/OpenMP" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>OpenMP</span></a> <a href="https://mast.hpc.social/tags/Benchmarking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Benchmarking</span></a> <a href="https://mast.hpc.social/tags/Performance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Performance</span></a> <a href="https://mast.hpc.social/tags/Package" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Package</span></a></p><p><a href="https://hgpu.org/?p=29718" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">hgpu.org/?p=29718</span><span class="invisible"></span></a></p>