Search

Kiara Taylor
Kiara Taylor @Kiarataylor07 ·
High-fidelity simulations in engineering and science generate massive datasets. NAS storage enables high IOPS and efficient data access for HPC clusters running CFD, FEA, and climate modeling workloads. #NASStorage #HPCStorage #ScientificComputing affordablenasstorage.wordpress.com/2026/03/12/nas…
NAS Storage for High-Fidelity Simulation Data: Scaling Performance for Engineering and Scientific...

Engineering and scientific disciplines rely on high-fidelity simulations to model complex physical phenomena. Computational Fluid Dynamics (CFD), Finite Element Analysis (FEA), and climate modeling…

From affordablenasstorage.wordpress.com
10
Fusion Group BSC
Fusion Group BSC @Fusion_BSC ·
🚀 Kicked off Day 1 of the 6th Fusion HPC Workshop! We were inspired by the opening plenary with Mervi Mantsinen, followed by amazing keynotes: Alba Cervera and Carolin Nührenberg. A huge thank you to participants joining from around the world! #FusionHPC #ScientificComputingL
41
Magirenko Technologies
Magirenko Technologies @magirenko ·
Today marks a turning point. We are shifting our focus to the frontiers of technology: High-Performance Computing, AI, and Scientific Computing. As we specialize, our identity evolves with us. The era of high-performance is here. #HPC #AI #ScientificComputing
8
Kaelux.dev
Kaelux.dev @ker102dev ·
FORTHought: A powerful self-hosted AI research stack built for physics and STEM labs on OpenWebUI. Harnessing AMD ROCm for local inference, it offers unparalleled privacy and specialized tools for scientific discovery. #SelfHostedAI #ScientificComputing
16
Thomas Bury
Thomas Bury @ThomasJBury ·
Scicomap, a Python package for assessing and improving scientific colormaps. I added a CLI, LLM friendly doc (.md) an interactive @marimo_io tutorial. Marimo thomasbury.github.io/scicomap/marim… Repo: github.com/ThomasBury/sci… #DataVisualization #ScientificComputing #Python #Matplotlib
GitHub - ThomasBury/scicomap: Scientific color maps and standardization tools

Scientific color maps and standardization tools. Contribute to ThomasBury/scicomap development by creating an account on GitHub.

From github.com
1
1.3K
Asteris - Socials on Autopilot with Your Content!
Asteris - Socials on Autopilot with Your Content! @asteris_ai ·
ML-accelerated fluid solvers are the overlooked value of AI: fewer GPU clusters for science, faster iteration for engineering. The ROI story is not just chatbots. What other “boring” domains will AI quietly dominate? Source: arxiv.org/abs/2602.08670 #AI #ScientificComputing #MachineLearning
arXiv logo
A Machine Learning accelerated geophysical fluid solver

Machine learning methods have been successful in many areas, like image classification and natural language processing. However, it still needs to be determined how to apply ML to areas with...

From arxiv.org
7
Kadir Çeven
Kadir Çeven @cevenkad ·
🚀 Introducing SymBasis.jl: Easily generate symmetry-preserving bases for quantum many-body systems—custom or predefined symmetries, simple interface, minimal effort. #JuliaLang @JuliaLanguage #Physics #ScientificComputing github.com/cevenkadir/Sym…
GitHub - cevenkadir/SymBasis.jl: A generator of basis with symmetries for Julia

A generator of basis with symmetries for Julia. Contribute to cevenkadir/SymBasis.jl development by creating an account on GitHub.

From github.com
1
3
406