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
GalerkinToolkit.jl
GalerkinToolkit is a high-performance finite element (FE) toolbox fully implemented in the Julia programming language. It provides modular building blocks to easily implement custom finite element codes to solve partial differential equations (PDEs) using a variety of numerical schemes.
- Finite Element
- High performance computing
- Julia Package
- Julia
- GLSL
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 Float
C++ Header-only library for CUDA that simplifies working with vector types and reduced precision floating-point arithmetic in GPU code.
- AI
- Big data
- GPU
- + 1
- C++
- Cuda
- Python
- + 3
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