All software
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
CubeGUI
Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.
- High performance computing
- Information
- Performance Analysis
- + 4
MPTRAC
Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.
- Atmospheric science
- Climate
- Earth & Environment
- + 6
- C
- Shell
- HTML
- + 4
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
- CMake
- + 1
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
- + 2
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
- + 5
Mallob
Automated Reasoning in HPC and Cloud Environments: Scheduling, Solving, Proving
- automated reasoning
- High performance computing
- job scheduling
- + 2
- C++
- Shell
- Python
- + 4
perun
perun is a Python package that calculates the energy consumption of Python scripts by sampling usage statistics from hardware interfaces. It can handle MPI applications, gather data from hundreds of nodes, and accumulate it efficiently.
- Earth & Environment
- Energy
- FAIR Software
- + 2
- Python
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
KaMinPar
Shared-Memory and Distributed-Memory Graph Partitioning
- Data analysis
- Graphs
- High performance computing
- + 3
- C++
- CMake
- Python
- + 5
ESM-Tools
ESM-Tools is a toolbox to assist you in running climate and Earth System Model simulations.
- Earth & Environment
- Earth System Modelling
- FAIR Software
- + 11
- Shell
- Python
- Fortran
- + 6
CubeLib
Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.
- High performance computing
- Information
- Performance Analysis
- + 4