All software
Rucio deployment for KM3NeT
This repository contains the Rucio deployment for KM3NeT. It can be used as an example of how to deploy Rucio.
- Big data
- High performance computing
self-hosted runners
Collection of resources to set up GitHub runners on self-hosted infrastructure
- High performance computing
- Shell
- Dockerfile
snakemake-wrf
A snakemake workflow to run WRF, including pre- and postprocessing. See our blog post for a detailed description.
- geospatial
- High performance computing
- python
- + 1
- Jupyter Notebook
- Python
- Shell
CAT
CAT is a collection of tools designed for the construction of various chemical compounds.
- High performance computing
- Python
- Shell
ccglib
The Complex Common GEMM Library (ccglib) provides mixed-precision matrix-matrix multiplication kernels for complex data.
- CUDA
- GPU
- High performance computing
- + 1
Cerise
Cerise is a service for running CWL workflows on HPC resources. You add software, tool descriptions, and connection information, then your user runs workflows whenever they want.
- High performance computing
- Optimized data handling
- Workflow technologies
- Python
- Common Workflow Language
- Dockerfile
- + 2
cerulean
A Python 3 library for talking to HPC clusters and supercomputers.
- High performance computing
- SFTP
- SLURM
- + 2
- Python
- Shell
- Dockerfile
CHAMP-EU
The Cornell-Holland Ab-initio Materials Package (CHAMP) is a quantum Monte Carlo suite of programs for electronic structure calculations. The code is developed by Claudia Filippi and Saverio Moroni, with significant contributions by Ravindra Shinde, N. Renaud, V. Azizi, E. Landinez, and S. Shepard.
- Chemistry
- High performance computing
- Physics
- + 1
- C
- Fortran
- Nemerle
- + 16
Compas Toolkit
The Compas Toolkit is a high-performance C++ library offering GPU-accelerated functions for use in quantitative MRI research.
- GPU
- High performance computing
- MRI
- Cuda
- C++
- Julia
- + 4
DG_RoomAcoustics
DG_RoomAcoustics is an open-source python-based software for room acoustics using the time-domain wave-based method. It implements the nodal discontinuous Galerkin method for spatial discretization of the linear acoustic equations, integrated over time with explicit schemes.
- Acoustics
- High performance computing
- python
- Python
Eigencuda
Offload Eigen matrix-matrix multiplications to an Nvidia GPU
- GPU
- High performance computing
- C++
- CMake
FLAME GPU
FLAME GPU is a GPU accelerated simulator for domain independent complex systems simulations. FLAME GPU provides a mapping between a simple description of an agent and its interactions into optimised GPU code. The software abstracts the details and complexity of the GPU away from modellers.
- GPU
- High performance computing
- Multi-scale & multi model simulations
- + 2