Converged Computing

Advances the convergence of artificial intelligence (AI), cloud, edge, and quantum computing with high-performance computing (HPC). The group's goal is to make HPC more accessible by transforming operational models and promoting seamless workflows across the entire computing spectrum. This integration enables hybrid HPC/AI workflows that combine traditional simulations with AI techniques, including big data, machine learning, and deep learning. Additionally, the department works to lower the barriers to supercomputing and broaden the HPC ecosystem to new users through virtualization technologies like containers, workflow orchestration, and job scheduling. Consequently, we have developed expertise in creating and managing dynamic, scalable federated cloud computing services such as Gaia-X.

Department Head

Dennis Hoppe

Staff

Related projects


AI Alliance BW

The AI Alliance Baden-Württemberg aims to develop a data platform for AI-relevant data exchange among academic and industrial stakeholders.

AI Alliance BW

CEEC

The Center of Excellence in Exascale CFD will improve European state-of-the-art computational fluid dynamics algorithms to prepare them for efficient performance on exascale supercomputers.

CEEC Project Logo

CIRCE

This study will assess potential applications of high-performance computing (HPC) in crisis situations, and what organizational procedures are needed to ensure that HPC resources are immediately available.

Logo for CIRCE project.

DECICE

DECICE is developing an open and portable cloud management framework that will enable the automatic and adaptive optimization of software applications for heterogeneous computing architectures.

Logo DECICE

EuroHyPerCon

The EuroHyPerCon project aims to shape the future of HPC in Europe by defining a long-term hyperconnectivity specification and implementation roadmap to meet Europe's future ultra-high-speed network requirements.

EuroHyPerCon

EXCELLERAT P2

EXCELLERAT P2 is developing advanced applications for engineering in the manufacturing, energy, aeronautics, and automotive sectors, focusing on use cases that demonstrate the importance of HPC, HPDA, and AI for European competitiveness.


Gaia-X4ICM

The goal of Gaia-X4ICM is to implement a scaling production platform based on the Gaia-X ecosystem for the InnovationCampus Mobility of the Future (ICM) to make Gaia-X more usable for production of planning systems, industrial controls, and sensor data, among other applications.

Gaia-X4ICM

HiDALGO2

The HiDALGO2 project is addressing challenges caused by climate change, focusing on technical issues related to scalability on HPC and AI infrastructures, the use of computational fluid dynamics methods, and uncertainty analysis.

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SiVeGCS

SiVeGCS coordinates and ensures the availability of HPC resources of the Gauss Centre for Supercomputing, addressing issues related to funding, operation, training, and user support across Germany's national HPC infrastructure.

Photo of a user support workshop in the HLRS training facility

Past projects


CATALYST

CATALYST researches methods for analyzing large datasets produced by modeling and simulation with the goal of implementing a framework that combines HPC and data analytics.

CATALYST project logo

CYBELE

CYBELE is integrating tools from high-performance computing, high-performance data analytics, and cloud computing to support the development of more productive, data driven methods for increasing agricultural productivity and reducing food scarcity.

Logo for CYBELE project.

EOPEN

EOPEN aims to tackle the technical barriers arising from the massive streams of Earth observation data to ensure scalability of the data harmonization, standardization, fusion, and exchange methods.

Logo for EOPEN project.

Eurolab4HPC2

Eurolab4HPC2 worked to promote the consolidation of European research excellence in exascale HPC systems.


EUXDAT

EUXDAT is a Horizon 2020 project building an e-infrastructure addressing agriculture, land monitoring, and energy efficiency for sustainable development.


Fortissimo

The importance of advanced simulation to the competitiveness of both large and small companies is well established. The principal objective of Fortissimo is to enable European manufacturing, particularly small to medium enterprises (SMEs), to benefit from the efficiency and competitive advantage inherent in the use of simulation.


Fortissimo 2

The FORTISSIMO 2 project targets the adoption of advanced simulation in small and medium-sized companies, realizing a “one-stop-shop” to enable state-of-the-art hardware access, expertise, applications, visualization and tools in an efficient fashion.


InHPC-DE

InHPC-DE furthers the federation of the three national HPC centres in Germany, addresses new requirements such as security, and evaluates the Gaia-X ecosystem in the context of high-performance computing.

InHPC-DE

PHANTOM

The project aims to address the challenges of energy-efficient parallel infrastructure development based on acceleratable heterogeneous hardware such as GPU, CPU, and FPGA in domains like cyber-physical systems, Internet of Things, or high-performance computing.


SEQUOIA End-to-End

The SEQUOIA End-to-End project worked to develop transparent, automated, and controllable end-to-end solutions for the industrial use of hybrid quantum applications and algorithms through holistic quantum software engineering.

Logo SEQUOIA End-to-End