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#gpucomputing

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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>
apfeltalk :verified:<p>NVIDIA stellt DGX Spark und DGX Station vor: KI-Supercomputer für den Schreibtisch<br>NVIDIA hat auf der GTC 2025 zwei neue KI-Supercomputer vorgestellt, die erstmals Data-Center-Leistung auf den Desktop bringen<br><a href="https://www.apfeltalk.de/magazin/news/nvidia-stellt-dgx-spark-und-dgx-station-vor-ki-supercomputer-fuer-den-schreibtisch/" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">apfeltalk.de/magazin/news/nvid</span><span class="invisible">ia-stellt-dgx-spark-und-dgx-station-vor-ki-supercomputer-fuer-den-schreibtisch/</span></a><br><a href="https://creators.social/tags/KI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KI</span></a> <a href="https://creators.social/tags/News" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>News</span></a> <a href="https://creators.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataScience</span></a> <a href="https://creators.social/tags/DGXSpark" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DGXSpark</span></a> <a href="https://creators.social/tags/DGXStation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DGXStation</span></a> <a href="https://creators.social/tags/GPUComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPUComputing</span></a> <a href="https://creators.social/tags/GraceBlackwell" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GraceBlackwell</span></a> <a href="https://creators.social/tags/HighPerformanceComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>HighPerformanceComputing</span></a> <a href="https://creators.social/tags/KIEntwicklung" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KIEntwicklung</span></a> <a href="https://creators.social/tags/KISupercomputer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>KISupercomputer</span></a> <a href="https://creators.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> <a href="https://creators.social/tags/NVIDIADGX" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>NVIDIADGX</span></a></p>
Leshem Choshen<p>And compression is now super fast!<br>💻Performance on Mac M1:<br>✅𝐂𝐨𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧: 7 GB/s<br>✅𝐃𝐞𝐜𝐨𝐦𝐩𝐫𝐞𝐬𝐬𝐢𝐨𝐧: 8 GB/s<br>Wait till multithreading happens on GPU and you only decompress on demand</p><p><a href="https://sigmoid.social/tags/compression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>compression</span></a><br> <br><a href="https://sigmoid.social/tags/llms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>llms</span></a><br> <br><a href="https://sigmoid.social/tags/GPUComputing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>GPUComputing</span></a><br> <br><a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ai</span></a></p><p>𝐏𝐚𝐩𝐞𝐫: alphaxiv.org/abs/2411.05239</p>
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