Research tools for users - created by NHR4CES

DEA

– a platform that enables intuitive and easy use of HPC in a patient-centered structure

 

Helpful for?

Researchers and clinicians working with medical (timeseries) data and any kind of compute intense application

And how?

“The Diagnostic Expert Advisor (DEA) is a platform for intuitive use of HPC in a patient-centric structure, enabling quick setup of machine learning models on medical data. Developed in the SDL Digital Patient, it supports research on the NHR4CES HPC infrastructure”, says Richard Polzin, researcher from our SDL Digital Patient.

Start using our Diagnostic Expert Advisor

FEATHERS

– a framework for automatic optimization of neural architectures and hyperparameters

 

Helpful for?

Users, who might not have access to data on all machines, making manual tuning of architectures and hyperparameters impractical or even impossible

Have a look at FEATHERS

DaVE

– a curated Database of Visualization Examples

 

Helpful for?

Users who want to find, explore, and run advanced visualization techniques suitable for their data

And how?

“DaVE is a centralized repository for discovering visualization examples through a simple search. It offers seamless integration into workflows with adaptable containers. Whether you’re exploring advanced visualizations or practical solutions for simulations, DaVE helps find useful resources. Users can also contribute by easily adding their own examples, regardless of experience level”, says Tim Gerrits, leader of our CSG Visualization.

#visualization #repository #database

Explore DaVE

SLURMminer

– a tool designed to analyze SLURM systems in High Performance Computing clusters

 

Helpful for?

Researchers and HPC administrators who need to analyze SLURM-managed HPC systems efficiently

And how?

“SLURMminer is a tool for analyzing SLURM systems in HPC clusters. It uses process mining techniques to generate event logs, extract process models, and visualize key metrics. By offering insights into workflow execution, system utilization, workload balancing, and anomaly detection, it helps researchers and administrators assess performance and analyze user behavior efficiently.”, states Zahra Sadeghibogar, member of our CSG Data Science and Machine Learning.

#machinelearning #code #slurm

Access the code

DiscoPoP

– a framework for semi-automatic parallelization of sequential C/C++ codes

 

Helpful for?

Researchers and developers interested in parallelizing their compute-intensive sequential code

And how?

“DiscoPoP was developed by the CSG Parallelism and Performance. By utilizing static and dynamic program analyses, it is able to identify potential for parallelization and offer guidance during the parallelization process”, says Lukas Rothenberger, researcher in the CSG Parallelism and Performance. 

#opensource #parallelization #codeanalysis

 

Get to know DiscoPop

Extra-P

– a new hyperparameter optimization algorithm

 

Helpful for?

Researchers and developers optimizing the performance/scalability of their compute/communication intensive application

And how?

“Extra-P is an automatic tool for performance modeling that helps identifying scalability bugs by describing how performance metrics like execution time scale with input size or processor count. Developed in the CSG Parallelism and Performance, it supports performance optimization on the NHR4CES HPC infrastructure”, explains Gustavo de Morais, researcher in the CSG Parallelism and Performance.

#opensource #scalabilityanalysis #performancemodeling

Advance your science with Extra-P

Coscine

– a research data management platform for your research project

 

Helpful for?

Researchers from participating universities or with an ORCID, who need a research data management platform for their research project

And how?

At RWTH Aachen University, we develop and maintain Coscine, a research data management (RDM) platform. It allows project participants to manage data and metadata through various services (so-called resources) in line with the FAIR principles. Particularly useful in the context of HPC, Coscine supports automation and metadata extraction, helping researchers manage large datasets and improve data reusability”, explains Marcel Nellesen, member of our CSG Data Management.

#coscine #datamanagement #data

Discover Coscine

IBO-HPC

– a new hyperparameter optimization (HPO) algorithm

 

Helpful for?

Users, who want more control over their optimization process and to boost the performance of hyperparameter optimization

And how?

“Finding optimal hyperparameters is essential for high-performing machine learning models. Traditional hyperparameter optimization (HPO) approaches are either manual, which is time-consuming, or fully automated, which doesn’t utilize user knowledge. IBO-HPC is a new HPO algorithm that addresses this by allowing users to provide feedback during optimization, combining automation with expert input to accelerate the process. This hybrid approach retains the efficiency of automatic methods while leveraging valuable insights from users to speed up optimization”, says Jonas Seng, member of our CSG Data Science and Machine Learning.

#machinelearning #code

Get the code

BoSSS

– an open-source framework

 

Helpful for?

Researchers, whose main field of application is multiphase flows with moving interfaces

And how?

“BoSSS (Bounded Support Spectral Solver) provides a general foundation for the scientific development, application and evaluation of higher-order discretization schemes based on the Discontinuous Galerkin (DG) and extended DG (XDG) method. It aims to overcome the gap between prototype codes with limited performance and generality on the one hand, and highly-optimized single-purpose research codes on the other hand“, says Martin Smuda, member of our SDL Fluids.

#cfd #solver #opensource

Let us introduce BoSSS

Astray

– a performance-portable geodesic ray tracer

Helpful for?

Users doing physics simulations describing various metrics in spacetime

And how?

“Astray is a  high-performance geodesic ray tracing library capable of running on a single or a cluster of computers equipped with compute or graphics processing units. The library is able to visualize any spacetime given its metric tensor and contains optimized implementations of a wide range of spacetimes, including commonly studied ones such as Schwarzschild and Kerr”, explains Tim Gerrits, member of our CSG Visualization.

#raytracing #physics #visualization

Have a look at Astray

InsitUE

– a hybrid in-situ visualization library through Unreal Engine and Catalyst

 

Helpful for?

Users who want to interactively visualize data from running simulations in the Unreal Engine

And how?

“InsitUE is a hybrid workflow that bridges the gap between established in-situ solutions and Unreal Engine. It consists of a Catalyst2 compatible implementation enabling steerable in-situ pre-processing with minimal outward dependencies and a plugin for Unreal Engine that allows effortless interactive in-transit visualization of simulation data”, says Tim Gerrits, member of our CSG Visualization.

#insitu #visualization

Code will be published soon

MODE

– a modern ordinary differential equation solver for C++ and CUDA

 

Helpful for?

Users who want to make use performant solving of ODEs on various hardware configurations

And how?

“MODE is a library that implements a broad range of multi-stage and multi-step methods, which are generated at compile-time from their tableau representations, avoiding runtime overhead. The solvers can be instantiated and iterated on the CPU and the GPU using identical code”, explains Tim Gerrits, member of our CSG Visualization.

#library #solver

Access the code

IntenSelect+

– an enhanced score-based selection technique in virtual reality

 

Helpful for?

Users who want tu use modern interaction techniques for complex data in virtual reality

And how?

“IntenSelect+ is an enhanced version of the IntenSelect selection technique designed to overcome multiple shortcomings of the original approach leading to precise, fast, and comfortable object selections in a large variety of use cases”, says Tim Gerrits, member of our CSG Visualization.

#vr #selection #toolkit

Tackle your data in virtual reality

BC6H Vector Compression 

– a data compression tool for the processing of large vector fields

Helpful for?

Users that deal with large datasets describing vector fields, such as fluid flows

And how?

“The tool BC6H Texture Compression for Vector Field Visualization makes use of BC6H, a hardware-accelerated block-based compression format widely supported by modern GPUs, which can be used to improve the utilization of limited memory of GPU hardware for vector field visualization”, explains Tim Gerrits, member of our CSG Visualization.

#visualization #compression #rendering

Explore the code

A C++20 Interface for MPI 4.0

– a library

Helpful for?

Users that want to make use of modern C++ features to incorporate MPI 4.0 in their code

And how?

“This library is a modern and idiomatic header-only C++20 interface for MPI 4.0 that covers the complete specification and provides a number of features to improve code quality”, says Tim Gerrits, member of our CSG Visualization.

#library #mpi

Have a look

m-AIA

– an open source project

 

Helpful for?

All german researchers and everyone with an ORCID Account

And how?

“m-AIA (multi-physics AIA) is a multi-physics solver framework with a focus on coupled problems related to computational fluid dynamics, computational aeroacoustics, fluid structure intercation etc. It is developed at the Chair of Fluid Mechanics and Institute of Aerodynamics (AIA) at RWTH Aachen University in Germany for more than 15 years. m-AIA is continuously applied in numerous research projects and is especially optimized for HPC hardware. In August 2024, m-AIA has become an open source project and is thus freely accessible”, explains Thomas Hösgen, member of our SDL Fluids.

#cfd #datamanagement

Get to know the code