All software
ShockHash
A perfect hash function is a function that has no collisions on a given set. ShockHash constructs very compact perfect hash functions significantly faster than previous approaches.
- C++
- CMake
- Shell
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
RAYX
Optical Simulation Software for Synchrotron Radiation
- C++
- open source
- python
- + 4
- C++
- Python
- CSS
- + 8
2x2, 3x3 and nxn Space-Filling Curves
Implementation of all possible forms of 2x2 and 3x3 space-filling curves, and nxn curves expanded from any specific level-1 units. It also implements the H-curve and the three-dimensional Hilbert curve.
- Data analysis
- Data Visualization
- open source
- R
- C++
- C
Arbor
Arbor is a high-performance library for computational neuroscience simulations with multi-compartment, morphologically-detailed cells, from single cell models to very large networks. Arbor is written from the ground up to help neuroscientists effectively use contemporary and future HPC systems.
- GPU
- High performance computing
- Neural network
- + 4
- C++
- AGS Script
- Python
- + 7
Constellation
Control and data acquisition system for small-scale experiments and experimental setup with volatile and dynamic constituents such as test beam environments or laboratory test stands
- DAQ
- DCS - Distributed Control System
- open source
- + 1
- C++
- Python
- Meson
- + 2
cuda_memtest
Tests GPU memory for hardware errors and soft errors using NVIDIA's CUDA or AMD's HIP.
- C++
- CUDA
- High performance computing
- + 1
- C++
- CMake
- C
- + 1
cupla
cupla is a simple user interface for the platform-independent parallel kernel acceleration library alpaka. It follows a similar concept as the NVIDIA® CUDA® API by providing a software layer to manage accelerator devices. alpaka is used as a backend for cupla.
- C++
- heterogeneous computing
- High performance computing
- + 3
- C++
- CMake
- Shell
- + 5
DataFlow
A comprehensive framework for automated data processing and manual postprocessing, including quality control and flagging. Modular and extensible design allows to create customizable pipelines and monitor their performance throughout the data lifecycle.
- data managment
- Data Visualization
- Pipeline
- + 2
- TSX
- Python
- TypeScript
- + 2
easyWave
easyWave-GPU computes tsunami wave propagations in a fraction of minute on GPU-powered machines. Thus , a single simulation, or several simulations with varying granularity, covering several hours of tsunami wave propagation, and tailored to the actual situation can be computed within seconds.
- early warning
- Earth & Environment
- tsunami forecasting
- C++
- Cuda
- Python
- + 2