Inno4scale partners met today in Luxembourg for the project’s final review meeting with the @eurohpc-ju.bsky.social project officer and reviewers. We appreciated the constructive and positive feedback and look forward to the final report. Thanks to all involved for the strong collaboration!

👀Have you checked this out? The @inno4scale.bsky.social Success Story Highlights Booklet is available online! Explore 22 innovation studies showing how scalable #HPC enables breakthroughs in science, industry & public administration! 👉📘Read more: www.inno4scale.eu/success-stor...

🆕 New from Inno4scale: A booklet with selected highlights from 22 innovation studies on algorithms for European exascale systems. Scalable solvers, mixed-precision CFD, sparse matrix kernels & more. Check it out ➡️https://www.inno4scale.eu/success-stories/

Matrix sparsity hides useful patterns for solver choice. Discuss the in the comments 💡🧠 🔬 What does the LimitX recommender predict from sparse matrix structure? 1️⃣ Solver memory usage 2️⃣ Spectral matrix properties 3️⃣ Eigenvector orientations Look for hints 👀🔍 www.inno4scale.eu

We’re proud to share that Inno4scale was presented as part of the EuroHPC Joint Undertaking booth at this year’s ISC High Performance Conference in Hamburg! 🚀 A big thank you to everyone who stopped by the booth to learn more about Inno4scale, share ideas, and engage in insightful discussions 🧠 🖥️

GPU stalls limit performance in exascale CFD solvers. Discuss the question below in the comments 💡🧠 🔬 What limits GPU scalability in coarse-grid solvers? 1️⃣ Too few elements per core 2️⃣ CPU driven communication stalls 3️⃣ Excessive matrix assembly costs Look for hints 👀🔍 www.inno4scale.eu

Two way EL simulations struggle to scale due to stepwise synchronisation. SCALETRACK changes that. Discuss the following question in the comments 💡🧠 🔬 What enables scalable EL simulations? 1️⃣ Particle preaveraging 2️⃣ Async coupling 3️⃣ Interpolation caching Look for hints 👀 www.inno4scale.eu

Sparse training for LLMs can reduce costs and emissions but hardware limits still apply. A new approach changes that. Discuss in comments on the question below 💡🧠 🔬 What enables full-range sparsity on GPUs? 1️⃣ Mixed precision 2️⃣ VENOM format 3️⃣ cuSparse Look for hints 👀 www.inno4scale.eu

GNNs struggle with memory and speed. CBM4Scale compresses binary matrices by reusing similar rows. Discuss in the comments on the following question 💡🧠 🔬 Which approach supports performance portability? 1️⃣ OpenACC 2️⃣ Domain-specific libs 3️⃣ Manual CUDA Look for hints 👀🔍 www.inno4scale.eu

🚀 New on the Inno4scale Blog We’ve wrapped up the Inno4scale project with a the Inno4scale Innovation Day in Barcelona! Our latest article offers an overview on the final event 📰 👉 Read the full article: lnkd.in/e9Uds7GD #HPC #Exascale #AI #Supercomputing #ScientificComputing #MareNostrum

Don’t miss Inno4scale Innovation Day! 🗓️May 13, 2025 | 10:30–17:30 CEST 📍Barcelona Watch livestream: shorturl.at/Rh3vr #Inno4scale #EuroHPC #Quantum

Take your❗last chance❗ to be part of the Inno4scale Innovation Day tomorrow via YouTube livestream! 🚀 📺 Join the livestream here: www.youtube.com/live/M1X3JOn... #HPC #Exascale #Supercomputing #Innovation #Inno4scale #Research #Collaboration #Barcelona

Reminder 💡 The Inno4scale Innovation Day on May 13 goes hybrid and will also be available via YouTube livestream! 🚀 📺 Join the livestream here: www.youtube.com/live/M1X3JOn... #HPC #Exascale #Supercomputing #Innovation #Inno4scale #Research #Collaboration #Barcelona

‼️Exciting update‼️ Inno4scale Innovation Day goes hybrid! 💡 If you can't join us onsite in Barcelona, then watch the livestream on May 13 🚀 📺 rtmp://a.rtmp.youtube.com/live2

‼️Last chance‼️ 💡Don't forget to join the Inno4scale Innovation Day on May 13 in Barcelona 🚀 This event marks the successful conclusion of the Inno4scale project and provides a platform for future collaborations in HPC 🖥️👩‍🔬 Registration🔗 regi.hlrs.de/2025/inno4sc...

ML speeds up atomic simulations, but key challenges remain. Discuss in the comments! 💡🧠 🔬 What is the main challenge for MLPs? 1️⃣ Slow computation 2️⃣ Missing long-range effects 3️⃣ Limited training data Look for hints 👀🔍 www.inno4scale.eu

❗Reminder❗ 💡Don't forget to join the Inno4scale Innovation Day on May 13 in Barcelona 🚀 This event marks the successful conclusion of the Inno4scale project and provides a platform for future collaborations in HPC 🖥️👩‍🔬 Registration🔗 regi.hlrs.de/2025/inno4sc...

HPC speeds up simulations, but sync barriers slow scaling. Discuss in the comments! 💡🧠 🔬 What is the main advantage of AMCG? 1️⃣ Reduces accuracy 2️⃣ Increases memory 3️⃣ No sync barriers Look for hints 👀🔍 www.inno4scale.eu

Join us on May 13 for the Inno4scale Innovation Day in Barcelona 💡🚀 This event marks the successful conclusion of the Inno4scale project and provides a platform for future collaborations in #HPC 🖥️👩‍🔬 Registration🔗 regi.hlrs.de/2025/inno4sc... We look forward to meet you in Barcelona! ✨

Simulating space plasma at ion-kinetic accuracy demands exascale computing! But checkpointing is a challenge. Discuss in the comments: 🔬 What is AI’s advantage in checkpointing? 1️⃣ Less simulation noise 2️⃣ Higher plasma density 3️⃣ Faster storage & recovery Look for hints 👀🔍 www.inno4scale.eu

GW calculations reveal materials insights, while scaling remains diffucult. Discuss in the comments on the following question 💡🧠 🔬 What is the main bottleneck in large-scale GW? 1️⃣ Polarizability calculation 2️⃣ Wavefunction storage 3️⃣ Screened Coulomb W Look for hints 👀🔍 www.inno4scale.eu

Join us on May 13 for the Inno4scale Innovation Day in Barcelona 💡🚀 This event marks the successful conclusion of the Inno4scale project and provides a platform for future collaborations in #HPC 🖥️👩‍🔬 Registration🔗 regi.hlrs.de/2025/inno4sc... We look forward to meet you in Barcelona! ✨

HPC advances simulations but communication overhead limits scalability. Discuss in the comments on the following question 💡🧠 🔬 What improves CG solver efficiency on GPUs? 1️⃣ Kernel launch overhead 2️⃣ Floating-point precision 3️⃣ Memory bandwidth More information and hints ▶️

Lattice QCD pushes precision physics, but scaling remains difficult. Discuss in the comments on the following question 💡🧠 🔬What is a major challenge in Lattice QCD? 1️⃣ Critical slowing down 2️⃣ Low lattice resolution 3️⃣ No experimental proof More insights and hints ▶️

Happening now❗ We are delighted to announce that Inno4scale is part of the EuroHPC Summit 2025👩‍🔬💬 Visit our website ▶️ www.inno4scale.eu Register for the Inno4scale Innovation Day ▶️ regi.hlrs.de/2025/inno4sc... #eurohpcsummit2025 #hpc #innovation #supercomputing

Join us on May 13 for the Inno4scale Innovation Day in Barcelona 💡🚀  This event marks the successful conclusion of the Inno4scale project and provides a platform for future collaborations in #HPC 🖥️👩‍🔬  Registration🔗 https://regi.hlrs.de/2025/inno4scale/registration/registrationForm.jsp

HPC accelerates simulations, but scaling remains a challenge. Discuss in the comments on the following question💡🧠 🔬 How do Neural Operators improve PinT? 1️⃣ No need for fine solvers 2️⃣ Faster with high accuracy 3️⃣ Replaces all numerical models More information and hints ▶️

HPC drives CFD forward, but scalability remains a challenge.  Discuss in the comments on the following question 💡🧠 🔬 How does ML improve CFD scalability? 1. Replaces Navier-Stokes 2. Speeds up solvers & coupling 3. Removes computational grids More information and hints ▶️

Now, you have had the chance to learn a lot about our innovation studies 🧠   Over the next few weeks, you can look forward to some exciting quizzes on our innovation studies and related topics! 🖥️ 🔢  You are invited to visit our website to refresh your knowledge ▶️ https://www.inno4scale.eu/

Did you know❓that traditional interatomic potentials struggle with bond formation, breaking, and long-range interactions, limiting their ability to model complex materials and processes accurately. ▶ https://www.inno4scale.eu/

Did you know❓Turbulence simulations for aerospace, energy, and climate applications face significant challenges scaling efficiently on exascale supercomputers. ▶ https://www.inno4scale.eu/

Did you know❓ Cloud simulations, critical for understanding weather and climate, often face computational bottlenecks due to the sheer number of particles involved. Traditional approaches struggle to scale efficiently on exascale systems. ▶ https://www.inno4scale.eu/

Did you know❓Understanding uncertainties in data can unlock more reliable predictions and insights into physical systems. But achieving this for large-scale simulation models has been a monumental challenge. ▶ https://www.inno4scale.eu/

Did you know❓Time integration in simulations of processes like fluid dynamics or atmospheric flows can be a major problem. Traditional methods struggle to scale on exascale supercomputers. Visit our website▶️https://inno4scale.eu

Did you know❓Iterative stencil loops (ISLs), used in simulations like image processing and turbulence modeling, are a cornerstone of high-performance computing (HPC). Visit our website▶️https://inno4scale.eu

Did you know❓Monte Carlo methods are powerful tools for handling uncertainty in simulations, but their high computational cost has been a barrier for adoption in real-time and exascale 🖥️ Visit our website▶️https://inno4scale.eu

Did you know❓Lattice Quantum Chromodynamics is essential for understanding the strong interactions within the Standard Model, but its simulations often face significant computational challenges. Visit our website▶️https://inno4scale.eu