All software
PIConGPU
PIConGPU is a relativistic Particle-in-Cell code running on graphic processing units as well as regular multi-core processors. It is Open Source und is freely available for download. It can be used to study plasmas with relativistic dynamics, solving the Maxwell-Vlasov system of equations.
- C++
- CPU
- GPU
- + 9
- C++
- Python
- Shell
- + 5
GAIA
A framework to study the thermo-chemical evolution of rocky and icy bodies (planets, moons, and planetoids) on a global scale in the solar system and beyond.
- CFD
- Computational Fluid Dynamics
- Earth & Environment
- + 4
Ginkgo
Ginkgo is a high-performance math library for the solution of sparse linear systems on GPUs (AMD, Intel, NVIDIA). Ginkgo is implemented using modern C++ and provides preconditioned Krylov solvers, multigrid, sparse direct solvers, mixed precision, and batched functionality.
- GPU
- High performance computing
- Large linear equation system
- + 4
- C++
- CMake
- Cuda
- + 4
Heat
Heat is a flexible and seamless open-source software for high performance data analytics and machine learning. It provides highly optimized algorithms and data structures for tensor computations using CPUs, GPUs and distributed cluster systems on top of MPI.
- CPU
- Data analysis
- GPU
- + 4
- Python
- Shell
- Dockerfile
ChASE
ChASE is a modern and scalable library to solve dense Hermitian (Symmetric) algebraic eigenvalue problems based on a spectral polynomial filter. The library is fully parallelized, and is particularly effective for sequences of eigenproblems as they often arise in electronic structure theory.
- C++
- Eigensolver
- GPU
- + 6
- C++
- Cuda
- CMake
- + 3
Propulate
An asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
- Aeronautics, Space and Transport
- Earth & Environment
- Energy
- + 9
- Python
CellDetection
An open-source Python package, offering advanced AI methods for the identification and segmentation of biomedical objects, such as cells, in image data. Includes trained models that work out-of-the-box for a wide range of use cases.
- cell counting
- cell detection
- cell segmentation
- + 9
- Python
- Dockerfile
GMGPolar
GMGPolar is a geometric multigrid solver using implicit extrapolation to raise the convergence order. It is based on meshes in tensor- or product-format. GMGPolar's focus applications are geometries that can be described by polar or curvilinear coordinates for which suited smoothing is available.
- Energy
- Geometric Multigrid
- High performance computing
- + 5
- C++
- Python
- Shell
- + 3
JUBE
JUBE is a generic, lightweight, configurable environment to run, monitor and analyse application execution in a systematic way. This software is commonly used to execute benchmarks and complex workflows on High Performance Computers, but is not limited to these systems.
- Benchmark
- Benchmarking
- High performance computing
- + 5
- Python
- Shell
- C
MESSy
MESSy is a software framework for the assembly of Earth System Models with components, which are numerical representations of processes in the Earth system. The unique feature of MESSy is its modular structure that facilitates continuous development and flexible model configurations.
- Aeronautics, Space and Transport
- Atmospheric science
- Earth & Environment
- + 5
Arbor
Arbor is a high-performance library for computational neuroscience simulations with multi-compartment, morphologically-detailed cells, from single cell models to very large networks. Arbor is written from the ground up to help neuroscientists effectively use contemporary and future HPC systems.
- GPU
- High performance computing
- Neural network
- + 4
- C++
- AGS Script
- Python
- + 7
JuKKR
The Korringa-Kohn-Rostoker (KKR) Greens function method is a highly accurate all-electron method to perform density functional theory calculations for the prediction of materials properties based on quantum mechanical simulations.
- CPU
- Density functional theory
- High performance computing
- + 5
- Fortran Free Form
- Fortran
- TeX
- + 2