All software
FairMQ
FairMQ is designed to help implement large-scale data processing workflows needed in next-generation particle physics experiments.
- framework
- Matter
- workflow library
- C++
- CMake
- C
- + 2
KaMinPar
Shared-Memory and Distributed-Memory Graph Partitioning
- Data analysis
- Graphs
- High performance computing
- + 3
- C++
- CMake
- Python
- + 5
t8code
t8code (spoken as "tetcode") is a C/C++ library to manage parallel adaptive meshes with various element types. t8code uses a collection (a forest) of multiple connected adaptive space-trees in parallel and scales to at least one million MPI ranks and over 1 trillion mesh elements.
- data managment
- Data Visualization
- exascale
- + 3
- C++
- C
- CMake
- + 4
CUAS-MPI
CUAS-MPI is the MPI-parallel implementation of the confined-unconfined aquifer system model for subglacial hydrology. The model uses a single-layer equivalent porous medium approach and solves a two-dimensional Darcy-type groundwater flow equation.
- C++
- Earth & Environment
- FAIR Software
- + 4
- C++
- CMake
- C
- + 1
simona
This package implements infrastructures for ontology analysis by offering efficient data structures, fast ontology traversal methods, and elegant visualizations. It provides a robust toolbox supporting over 70 methods for semantic similarity analysis.
- Data analysis
- Data Visualization
- FAIR Data
- + 3
- R
- C++
- JavaScript
- + 3
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
ELECTRODE
ELECTRODE extends the atomistic simulation tool LAMMPS to model different types of electrochemical situations. Simulations are performed at constant potential or constant charge using different approaches to control potential or charge at the electrodes.
- Constant Potential Method
- Electrochemistry
- Molecular Dynamics
- C++
- Tcl
- Cuda
- + 24
SMG2S
SMG2S (Sparse Matrix Generator with Given Spectrum) is able to generate large-scale non-Hermitian and non-Symmetric matrices in parallel with the spectral distribution functions or eigenvalues given by users, and the spectrum of generated matrix is the same as the one specified by the users.
- CPU
- High performance computing
- Matrix Computation
- + 1
- C++
- Python
- CMake
- + 1
cnpy++
cnpy++ is a C++17 library that allows to read and write NumPy data files (.npy and .npz). It is designed in a way to integrate well into the modern C++ ecosystem and it provides features not available in any similar C++/npy library.
- data managment
- C++
- CMake
- C
Independent Parallel Particle Layer (IPPL)
IPPL is a C++ library to develop performance portable code for fully Eulerian, Lagrangian or hybrid Eulerian-Lagrangian methods. IPPL supports simulations in one to six dimensions, mixed precision, and asynchronous execution in different execution spaces (e.g. CPUs and GPUs).
- Computational Fluid Dynamics
- GPU
- High performance computing
- + 5
- C++
- TeX
- CMake
- + 3
mallocMC
This project provides a framework for fast memory managers on many core accelerators. It is based on alpaka to run on many different accelerators and implements the ScatterAlloc algorithm.
- CUDA
- heterogeneous computing
- High performance computing
- + 2
- C++
- CMake
- Cuda
- + 1