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JARDS

The Joint Application, Review, and Dispatch Service (JARDS) is a software for the management of allocation processes for High Performance Computing (HPC) resources. It is a web application based on PHP and JavaScript using open source libraries like Symfony, , jQuery, Bootstrap and DataTables.

Application for computing time
High performance computing
Information
+ 1

jCubeR

Cube, which is used as performance report explorer for Scalasca and Score-P, is a generic tool for displaying a multi-dimensional performance space consisting of the dimensions (i) performance metric, (ii) call path, and (iii) system resource.

High performance computing
Information
Performance Analysis
+ 2

JuKKR

The Korringa-Kohn-Rostoker (KKR) Greens function method is a highly accurate all-electron method to perform density functional theory calculations for the prediction of materials properties based on quantum mechanical simulations.

CPU
Density functional theory
High performance computing
+ 5

Fortran Free Form
Fortran
TeX
+ 2

JuMPER

JuMPER (Jülich open access Modelling Platform for Electrochemistry Research) is a collaborative platform designed for modelling and analyzing electrochemical processes. It supports open access research on electrochemical devices, including fuel cells, electrolyzers and batteries.

Energy
open source
python

JupyterHub Outpost

JupyterHub Outpost can be used as an additional, external source to start and manage single-user servers. Like in JupyterHub itself, different Spawners can be configured at the Outpost. It's best used together with the jupyterhub-outpostspawner configured at JupyterHub.

Jupyter
Kubernetes
python

Python
Shell
Dockerfile

JupyterHub Outpostspawner

The OutpostSpawner in combination with the JupyterHub Outpost service enables JupyterHub to spawn single-user notebook servers on heterogenous remote resources.

python

Python

JURI

JURI (Jülich Reporting Interface) provides a template-driven fully client-based web framework to visualise data lists and associated data graphs.

JavaScript
HTML
CSS
+ 5

KaRRi - Karlsruhe Rapid Ridesharing

KaRRi is a state-of-the-art dispatcher for the dynamic taxi sharing problem with meeting points. KaRRi utilizes highly engineered many-to-many shortest path queries to compute optimal assignments of riders to vehicles and according meeting points within milliseconds.

algorithm engineering
algorithms
Future Mobility
+ 11

C++
CMake
Shell
+ 3

KD-Tree-Python

KD-Tree Implementation in Python

KD-Tree
python

Python

KinFit

KinFit can be used for kinematic fitting in particle and hadron physics experiments. The iterative procedure is based on the Langrange multiplier technique. Constraints such as mass, vertex and momentum conservation are included.

C++
Data analysis
open source

C++
C
CMake

Lightning UQ Box

The lightning-uq-box is a PyTorch library that provides various Uncertainty Quantification (UQ) techniques for modern neural network architectures.

Deep Learning
python
uncertainty quantification

Python

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