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Logo for alpaka
@helmholtz.software

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
34
98
Logo for Ginkgo
@helmholtz.software

Ginkgo

Ginkgo is a high-performance math library for the solution of sparse linear systems on GPUs (AMD, Intel, NVIDIA). Ginkgo is implemented using modern C++ and provides preconditioned Krylov solvers, multigrid, sparse direct solvers, mixed precision, and batched functionality.

  • GPU
  • High performance computing
  • Large linear equation system
  • + 4
  • C++
  • CMake
  • Cuda
  • + 4
11
96
Logo for Trixi.jl
@helmholtz.software

Trixi.jl

Trixi.jl is a numerical simulation framework for conservation laws written in Julia with an extensible design with a fast implementation, Trixi.jl is focused on being easy to use for new or inexperienced users, including the installation and postprocessing procedures.

  • CFD
  • Earth & Environment
  • hpc
  • + 3
  • Julia
  • Jupyter Notebook
  • Shell
  • + 2
10
95
Logo for JEMRIS
@helmholtz.software

JEMRIS

JEMRIS is a versatile, open-source, multi-purpose MRI simulator. It is well-suited for research and education.

  • MRI
  • Simulation
  • C++
  • Python
  • MATLAB
  • + 5
2
90
@helmholtz.software

PEPC

The PEPC project (Pretty Efficient Parallel Coulomb Solver) is a public tree code that has been developed at Jülich Supercomputing Centre since the early 2000s. Our code is a non-recursive version of the Barnes-Hut algorithm, using a level-by-level approach to both tree construction and traversals.

  • Barnes-Hut
  • High performance computing
  • hpc
  • + 2
  • Fortran Free Form
  • C
  • Shell
  • + 2
7
85
@helmholtz.software

ETHOS.GLAES

GLAES is a framework for conducting land eligibility analyses and is designed to easily incorporate disparate geospatial information from a variety of sources into a unified solution.

  • ESD
  • ESD - Topic 1
  • Python
  • Batchfile
  • Shell
  • + 1
2
75
Logo for GTlab
@helmholtz.software

GTlab

A C++ framework for collaborative engineering

  • Aeronautics, Space and Transport
  • C++
  • optimization
  • + 2
  • C++
  • CMake
  • QML
  • + 5
5
75
Logo for MPTRAC
@helmholtz.software

MPTRAC

Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.

  • Atmospheric science
  • Climate
  • Earth & Environment
  • + 6
  • C
  • Shell
  • HTML
  • + 4
9
72
@Text+ Editions Software

OCR-D

OCR-D's software is a modular collection developped to create comprehensive processes that typically involve recognition of full texts, letters and words. Techniques such as pre-processing, layout analysis and post-processing are applied. (Quotations from: https://ocr-d.de/en/about.html)

  • OCR
  • open source
  • Text Recognition
  • Makefile
  • Shell
  • Dockerfile
  • + 1
4
72
Logo for VarFish
@helmholtz.software

VarFish

VarFish is a user-friendly web application for the quality control, filtering, prioritization, analysis, and user-based annotation of DNA variant data with a focus on rare disease genetics. It is capable of processing variant call files with single or multiple samples. ...

  • Annotation
  • Data analysis
  • Health
  • + 1
  • Python
  • Vue
  • TypeScript
  • + 9
14
60
Logo for MEmilio
@helmholtz.software

MEmilio

MEmilio implements various models for infectious disease dynamics, from compartmental to agent-based models. Through efficient implementation and parallelization, MEmilio brings cutting edge and compute intensive models to a large scale, enabling high-resolution spatiotemporal disease dynamics.

  • Agent-based Model
  • C++
  • compartmental model
  • + 12
  • C++
  • Python
  • CMake
  • + 3
36
59
@helmholtz.software

SpecHomo

SpecHomo is a Python package for spectral homogenization of multispectral satellite data, i.e., for the transformation of the spectral information of one sensor into the spectral domain of another one.

  • Earth & Environment
  • Remote sensing
  • spectral homogenization
  • Python
  • Makefile
  • Shell
1
58