#hpc — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #hpc, aggregated by home.social.
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RE: https://fosstodon.org/@shepherd/117230512220736166
A release of a #Guix channel—quite unusual, uh?
The goal is to provide stability and known-good points for scientists and #HPC practitioners alike that they can rely on to deploy their favorite software.
Kudos to all those who made it possible, and in particular @ghisvail, @csantosb, @zimoun, @shepherd, and our former colleague Romain Garbage!
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The Radiative Effects Of Water Vapour From Terrestrial Evapotranspiration
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https://doi.org/10.1088/1748-9326/adde72 <-- shared paper/letter
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https://zenodo.org/records/15413219 | https://zenodo.org/records/15416936 <-- shared open data, for “Model information and output for "The radiative effects…” ”
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https://doi.org/10.1007/s11269-025-04191-w <-- shared paper
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H/T @jan Umsonst | Earth System Nerd
“Water vapour accounts for roughly 50% of the modern greenhouse effect. Over continental regions, evapotranspiration (ET) is often limited by water availability. In this study, [the authors] spatially quantify how much of the total atmospheric water vapour evaporated most recently from land and calculate the relative contribution of that water vapour to the atmospheric radiative budget. Using a combination of tracer-enabled Earth system model simulations and radiative transfer calculations, [they were] able to explicitly quantify the 3D distribution of terrestrial vs. oceanic water vapour, and the spatial contribution of each to the surface and top of atmosphere radiative budgets. [They found] that over many continental regions, more than half of the total column-integrated water vapour originates from land ET, and that this vapour contributes up to 30 W/m² of longwave radiation into the surface in the annual mean (about 10% of the total). Understanding how terrestrial ET impacts the base-state of water vapour distribution and the water vapour greenhouse effect is critical to understanding how and where changes in terrestrial ET, driven by climate change, land use, etc, will modify the radiative properties of the atmosphere and thus the climate system…”
#water #hydrology #greehouseeffect #highperformancecomputing #HPC #evapotranspiration #Radiative #WaterVapour #spatial #spatialanalysis #spatiotemporal #atmosphere #model #modeling #earthsystemmodelling #terrestrial #oceanic #vapour #climatechange #landuse #changes #climatesystem -
Für eine Simulation eines G-Protein-gekoppelten Rezeptors (GPCR) arbeiteten das UCL London, die TUM, das LRZ mit IQM, QMatter und NVIDIA zusammen. Dafür wurde #HPC mit #Quantencomputing verbunden. Der #Quantencomputer rechnete den chemischen Teil, den Rest erledigt der #Supercomputer. Das Ergebnis sind Erkenntnisse zum Zusammenspiel von Proteinen und Molekülen. Zum anderen entstand aus Software und Algorithmen ein quanten-klassischer Workload: https://www.lrz.de/news/detail/bessere-prognosen-und-detailliertere-modelle
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China's LineShine Supercomputer: A Sense of Scale ⚡🖥️
China's LineShine 灵晟 supercomputer is the most powerful supercomputer in the world 🌍, delivering a verified 2.198 exaFLOPS on the TOP500 benchmark. That means it can perform more than 2 quintillion (2×10¹⁸) calculations every second 🚀. The system consumes 42.2 megawatts of electricity ⚡ and is powered by more than 13.7 million conventional CPU cores 🧠.
The Scale of Its Computing Power 📊
Compared to Humanity 👥: If every person on Earth performed one mathematical calculation every second, without stopping ⏱️, it would take the entire global population about 4 years 📅 to equal the amount of computation LineShine completes in a single second.
Consumer Hardware 💻: Matching LineShine's sustained performance would require more than 20 million of today's fastest consumer graphics cards 🖥️, such as an RTX 5090, working together in perfect synchronization 🔗.
LineShine demonstrates the extraordinary scale of modern high-performance computing (HPC), enabling scientific calculations that would be practically impossible using conventional computers 🚀.
#Supercomputer #LineShine #Exascale #Exaflop #HPC #HighPerformanceComputing #Technology #Innovation #Science #Engineering #Computing #CPU #ParallelComputing #ClimateScience #WeatherForecasting #Neuroscience #QuantumChemistry #Physics #MolecularScience #DataScience #ArtificialIntelligence #AI #Research #STEM #FutureTech #DigitalEarth #ComputerScience #TechFacts #NextGenComputing #TOP500
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#Quantencomputer rechnen nicht besser als #Supercomputer aber anders. Florian Preis von Quantum Brilliance räumt mit ein Mythen zum #Quantencomputing auf und beschreibt, was heute bereits machbar ist und was nicht. Empfehlenswert zum Lesen: https://www.elektroniknet.de/halbleiter/prozessoren/was-quantencomputer-koennen-und-wo-sie-wirklich-stehen.1ca3b39a-2727-4dd8-ab44-c47baf168fee.html
#IT4Science, #quantum #HPC #computing #IT #innovation #futureComputing
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🎉 Celebrating 30 years of HPC: where the #hardware sprints ahead like Usain Bolt on a caffeine binge, yet languages crawl slower than a snail stuck in molasses! 🐌💻 Our top-notch scientists have achieved the impossible: advancing #technology without advancing the tools to use it. Bravo! 🙄👏
https://chapel-lang.org/blog/posts/30years/ #HPC #30years #progress #software #advancement #snailpace #HackerNews #ngated -
#Quantencomputing im Verein mit #Supercomputing: Bis zum 15. Mai bleibt noch Zeit, Paper und Vortrag für Q-Works in Pisa einzureichen.
Das QEX Quantum Excellence Centre verbessert das Zusammenspiel von #HPC und Quantencomputing, sucht daher Ideen und Erfahrungen für neue Workloads, wenn beide Technologien gleichzeitig arbeiten sollen. Außerdem sind mehr Anwendungen fürs hybride Quanten- oder beschleunigte Supercomputing gefragt: https://q-works.github.io/cfp/ -
"HPC ignites" ist das Motto der #sc25: An Stand 535 haben das LRZ und seine Partner Platz gefunden. #BavarianHPC – das heißt, Gäste können sich die Integration von #Quantencomputing ins #HPC anschauen, einen Blick auf Innovationen wie photonische #Computer werfen, die Präsentation von Tools zum Arbeiten mit hybriden #Supercomputer (n) erleben. Natürlich sind auch #KI und Modelle für #Forschung ein Thema in den USA.
Was heute am Stand passiert: https://tiny.badw.de/PvPQA
#hpc4germany, #IT4Science -
HPL-MxP: 1. El Capitan with 16.7 Exaflop/s 2. Aurora with 11.6 Exaflop/s 3. Frontier with 11.4 Exaflop/s Congratulations to LLNL's #ElCapitan for taking the top position in all 3: Top500, HPCG, and HPL-MxP #ISC25 #HPC #AI via @profamandarandles.bsky.social
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In #Jülich startet der #Supercomputer Jupiter, Europas erster #Exascale-Rechner mit über einem #ExaFLOP/s, in den Testbetrieb.
Das modular aufgebaute #Rechenzentrum in Containern nutzt rund 24.000 #Nvidia GH200-Chips für Simulationen und #KI-Training.
Ziel ist nicht nur Leistung, sondern auch #Energieeffizienz mit #Wärmerückgewinnung. Ab 2027 ergänzt das KI-Modul #Jarvis das System.
https://www.heise.de/news/Juelicher-Supercomputer-Jupiter-startet-Probebetrieb-10340419.html
#ForschungszentrumJülich #HPC #GreenIT #Containerrechenzentrum #Green500 #EuroHPC
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#China Publishes Its Own #Top100 #Supercomputer List
China's lack of #Top500 submissions underscores separation of Chinese #supercomputing from global #HPC. But even China's own list does not include country's fastest #ExaFLOP computers; upper echelons of China's supercomputing remains shrouded in secrecy. 21 out of Top 50 were deployed in last 2yr, indicating China's supercomputesr continue to develop rather rapidly despite US efforts to contain the country's advances.
https://www.tomshardware.com/news/china-supercomputing-top-100-list-us-vendors -
#AMD #MI300 – Taming Hype – #AI Performance, Volume Ramp, Customers, Cost, IO, Networking, Software
Amazing engineering, but what of the path to market?
AMD delivered #HPC #GPU silicon in 2021 for world's first #ExaFLop #supercomputer, Frontier. Now, everyone is looking forward MI300 which will be delivered later this year to El Capitan, 2nd Exascale supercomputer win. There hasn’t been this much buzz for a #datacenter chip since #Nvidia’s #Volta GPU and AMD’s Rome CPU.
https://www.semianalysis.com/p/amd-mi300-taming-the-hype-ai-performance
