Helmholtz-Zentrum Dresden-Rossendorf
alpaka
The alpaka library is a header-only C++17 abstraction framework designed for computing accelerator development. It enables developers to implement algorithms once and execute them across a range of platforms, including x86, ARM, and RISC-V CPUs, as well as accelerators from NVIDIA, AMD, and Intel.
- C++
- CPU
- CUDA
- + 7
- C++
- CMake
- Shell
- + 1
Ansible Collection - hifis.toolkit
This collection provides production-ready Ansible roles used for providing services used in research and by research software engineers, but not exclusively. The collection is used to deploy popular Helmholtz Cloud services like the Helmholtz Codebase and its CI infrastructure.
- Jinja
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
HELIPORT
The guidance system HELIPORT aims to make the entire life cycle of a scientific project according to the FAIR principles. In particular, our data management solution deals with the areas from the generation of the data to the publication of primary research data, the workflows and results.
- data managment
- Earth & Environment
- Energy
- + 10
- Python
- HTML
- JavaScript
- + 2
hermes
Implementation of the HERMES workflow to automate software publication with rich metadata.
- FAIR Software
- metadata
- python
- Python
Helmholtz Research Software Directory
The Helmholtz Research Software Directory is a place to discover and promote research software. Designed for Research Software Engineers and Scientists, it aims to foster FAIR and reuseability of software.
- FAIR Software
- TSX
- TypeScript
- Java
- + 2
ISAAC
In Situ Animation of Accelerated Computations
- C++
- CUDA
- Data Visualization
- + 4
- C++
- HTML
- JavaScript
- + 3
LabFrog
Configurable python-Flask application for structured data capture and exploration.
- FAIR Data
- FAIR Software
- Flask
- + 2
- Python
- HTML
- JavaScript
- + 1
LLAMA
LLAMA is a cross-platform C++17/C++20 header-only template library for the abstraction of data layout and memory access. It separates the view of the algorithm on the memory and the real data layout in the background.
- C++
- heterogeneous computing
- High performance computing
- + 3
- C++
- CMake
- Shell
mallocMC
This project provides a framework for fast memory managers on many core accelerators. It is based on alpaka to run on many different accelerators and implements the ScatterAlloc algorithm.
- CUDA
- heterogeneous computing
- High performance computing
- + 2
- C++
- CMake
- Cuda
- + 1
Materials Learning Algorithms
MALA (Materials Learning Algorithms) is a data-driven framework to accelerate electronic structure calculations based on machine learning. Its purpose is to construct neural-network surrogate models for bypassing computationally expensive steps in state-of-the-art density functional simulations.
- DFT
- machine-learning
- Python
- Fortran
- Shell
- + 1
METABOLATOR
Analysis of Microcalorimetric Metabolic Data Using Monod's Equation.
- curve fitting
- Data Science
- metabolic load
- + 1
- Python
- HTML
- Jupyter Notebook