All software
alpaka
The alpaka library is a header-only C++17 abstraction framework designed for computing accelerator development. It enables developers to implement algorithms once and execute them across a range of platforms, including x86, ARM, and RISC-V CPUs, as well as accelerators from NVIDIA, AMD, and Intel.
- C++
- CPU
- CUDA
- + 7
- C++
- CMake
- Python
- + 1
BornAgain
Software to simulate and fit neutron and x-ray reflectometry and grazing-incidence small-angle scattering. The latter is computed as usual, using the distorted-wave Born approximation, hence the name. Users can set up arbitrary multilayer samples with interface roughness and embedded nanoparticles.
- Data analysis
- Modelling
- Photon and neutron science
- + 1
- C++
- Python
- CMake
- + 2
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
JEMRIS
JEMRIS is a versatile, open-source, multi-purpose MRI simulator. It is well-suited for research and education.
- MRI
- Simulation
- C++
- Python
- MATLAB
- + 5
PEPC
The PEPC project (Pretty Efficient Parallel Coulomb Solver) is a public tree code that has been developed at Jülich Supercomputing Centre since the early 2000s. Our code is a non-recursive version of the Barnes-Hut algorithm, using a level-by-level approach to both tree construction and traversals.
- Barnes-Hut
- High performance computing
- hpc
- + 2
- Fortran Free Form
- C
- Shell
- + 2
GTlab
A C++ framework for collaborative engineering
- Aeronautics, Space and Transport
- C++
- optimization
- + 2
- C++
- CMake
- Python
- + 5
Corryvreckan
The Maelstrom for Your Test Beam Data - Corryvreckan is a flexible, fast and lightweight test beam data reconstruction framework based on a modular concept of the reconstruction chain. It is designed to fulfill the requirements for offline event building in complex data-taking environments.
- C++
- Matter
- Testbeam
- + 1
- C++
- CMake
- Python
- + 2
MEmilio
MEmilio implements various models for infectious disease dynamics, from compartmental to agent-based models. Through efficient implementation and parallelization, MEmilio brings cutting edge and compute intensive models to a large scale, enabling high-resolution spatiotemporal disease dynamics.
- Agent-based Model
- C++
- compartmental model
- + 12
- C++
- Python
- CMake
- + 3
cola
Subgroup classification is a basic task in genomic data analysis. The cola package provides a general framework for subgroup classification by consensus partitioning.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- C++
KaGen - Communication-free Massively Distributed Graph Generators
Network generators help to provide synthethic instances with controllable parameters by algorithm developers and researchers. KaGen provides generators for a large variety of network models, which are communication-free by making use of pseudorandomization and divide-and-conquer schemes.
- Graph Generation
- High performance computing
- Network Analysis
- + 1
- C++
- C
- Python
- + 2
Sassena
Sassena is a program to calculate X-ray and neutron scattering patterns from Molecular Dynamics simulations in the Born approximation.
- C++
- High performance computing
- Matter
- + 2
- C++
- Python
- Shell
- + 2
Eventdisplay
Eventdisplay is a reconstruction and analysis pipeline for data of Imaging Atmospheric Cherenkov Telescopes (IACT).
- Astronomy
- Data analysis
- gamma-ray telescopes
- C++
- C
- Makefile
- + 3