SuperLU_DIST contains a set of subroutines to solve a sparse linear system A*X=B. It uses Gaussian elimination with static pivoting (GESP).
pybind11 is a lightweight header-only library that exposes C++ types in Python and vice versa, mainly to create Python bindings of existing C++ code.
SmartRedis is a collection of Redis clients that support RedisAI capabilities and include additional features for high performance computing (HPC) applications.
Catch stands for C++ Automated Test Cases in Headers and is a multi-paradigm automated test framework for C++ and Objective-C (and, maybe, C). It is implemented entirely in a set of header files, but
SmartSim is a workflow library that makes it easier to use common Machine Learning (ML) libraries, like PyTorch and TensorFlow, in High Performance Computing (HPC) simulations and applications.
This project aims at implementing the k-epsilon Lag Elliptic Blending turbulent model for OpenFOAM.
The SST-CND model is based on Menter's Shear-stress-transport model with a correction term for separated flow (especially separated shear layer) derived by machine learning method.
Progressive data-augmented k-omega SST model as proposed by Amarloo and Rincón (2023) for OpenFOAM. Developed by Fluid Physics & Turbulence research group at Aarhus University.
Sub-module for OpenFOAM that provides a solver for embedding SmartSim and its external dependencies (i.e. SmartRedis) into arbitrary OpenFOAM simulations.
ADflow is a flow solver developed by the MDO Lab at the University of Michigan. It solves the compressible Euler, laminar Navier–Stokes and Reynolds-averaged Navier–Stokes equations using structured multi-block and overset meshes.
