Stars
Exascale multiphase flow solver — 2025 Gordon Bell Prize Finalist | 200T grid points on 43K+ GPUs
A differentiable PIC simulation for optimization and control
A parallel C++ framework for the numerical solution of PDEs
Learning in infinite dimension with neural operators.
Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
A coupling library and ecosystem for partitioned multi-physics and multi-scale simulations, including surface and volume coupling.
From-scratch C++ and Python reimplementation of the Variational Moments Equilibrium Code (VMEC).
This is the main source repo for the Gkeyll 2.0 code. Please see gkeyll.rtfd.io for details.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Solving particle transport equations using stochastic method
A header-only C++ library for sketching in randomized linear algebra
FreeGSNKE: A Python code for evolutive free-boundary tokamak plasma equilibrium simulations
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Training and serving large-scale neural networks with auto parallelization.
For IMPACT-Z beam dynamics code users and developers
All pdfs of Victor Eijkhout's Art of HPC books and courses
Approximation of Nearly-Periodic Symplectic Maps via Structure-Preserving Neural Networks
Create parametric 3D fusion reactor CAD and neutronics models