All software
flamingo
Compute and filter molecular properties for quantum dot ligands
- High performance computing
- Python
Davidson diagonalization in Fortran
This package contains a Modern Fortran implementation of the Davidson diagonalization algorithms to compute several eigenvalue-eigenvector pairs of a symmetric matrix
- High performance computing
- Fortran
- CMake
- Python
YODA
YODA is a lightweight C++ and Python library for histogramming and statistical analysis, designed for use in particle physics workflows. It supports reproducible, high-performance data analysis and is the foundation for data handling in tools like Rivet.
- Data Analysis
- High performance computing
- Statistics
- + 1
- C++
- TeX
- Python
- + 2
HPGEM
hpGEM is a C++ partial differential equation solver. It is intended for Discontinuous Galerkin Finite Element Methods, but can also do normal (conforming) Finite Element Methods and Finite Volume.
- Finite Element
- High performance computing
- C++
- CMake
- TeX
- + 6
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.
- Benchmarking
- High performance computing
- HPC
- + 4
- Python
- Shell
- C
JupyterDaskOnSLURM
A Dask cluster and a Jupyter server on a SLURM system
- Big data
- High performance computing
- jupyter notebooks
- + 1
- Python
- Shell
Kernel Launcher
Dynamically compile GPU kernels and launch them easily and safely using C++ magic. Tight integration with Kernel Tuner results in blazing fast CUDA code that is maintainable and performance portable.
- auto-tuning
- CUDA
- GPU
- + 2
- C++
- Python
- CMake
- + 3
KMM
KMM is a lightweight C++ middleware for accelerated computing.
- GPU
- High performance computing
- C++
- Cuda
- CMake
- + 1
kunefe
A Python package that helps users run containerized applications on HPC systems
- Agent-based modeling
- Apptainer
- containers
- + 5
- Python
- Shell
- Dockerfile
LLview
LLview is a set of software components to monitor clusters that are controlled by a resource manager and a scheduler system.
- High performance computing
- HPC
- Monitoring
- + 2
- Perl
- Python
- Shell
Lokum
Deploy GlusterFS, Docker, Spark and JupyterHub services on bare-metal cluster.
- Big data
- High performance computing
- Optimized data handling
- Python
- HCL
- Shell
- + 2
m4ma
An R package containing C++ implementations to speed up the simulation and parameter estimation of the Predictive Pedestrian model.
- geospatial
- High performance computing
- Real time data analysis
- C++
- R
- C