hpc.bw – Competence Platform for Software Efficiency and Supercomputing

The project „hpc.bw – Competence Platform for Software Efficiency and Supercomputing“ has started in April 2021 and will run for four years until December 2024. It is funded within the framework of dtec.bw and is located in the KoDiA research cluster. The aim of hpc.bw is to strengthen innovative cross-location research in the field of high performance computing and to promote the transfer of relevant expertise to a wide range of disciplines.

Project leader:

Prof. Dr. Philipp Neumann, High Performance Computing, Helmut Schmidt University

Multiplicator team:

Prof. Dr. Sabine Schmidt-Lauff, Weiterbildung und Lebenslanges Lernen, Helmut Schmidt University

Prof. Dr. Thomas Carraro, Angewandte Mathematik, Helmut Schmidt University

Prof. Dr. Marcus Stiemer, Theoretische Feldtechnik und Numerische Feldberechnung, Helmut Schmidt University

Prof. Dr. Andreas Fink, BWL, insbesondere Wirtschaftsinformatik, Helmut Schmidt University

Prof. Dr. Alexander Popp, Computer-Based Simulation, Universität der Bundeswehr München

Do you have any questions about the project? You can reach the project team at info-hpc-bw@hsu-hh.de .

Kick-off Newsletter hpc.bw

Welcome to the newsletter of the dtec.bw project hpc.bw.

If you want to subscribe to the newsletter, please send a message with subject line “Subscription hpc.bw Newsletter” to info-hpc-bw@hsu-hh.de.

Newsletters are planned to be published on a quarterly basis.

Newsletter HPC 02/2022

hpc.bw – Competence Platform for Software Efficiency and High Performance Computing

Link to the project homepage: https://dtecbw.de/home/forschung/hsu/projekt-hpcbw/projekt-hpcbw

High Performance Computing (HPC) deals with the development of efficient software, taking into account algorithms, the use of appropriate programming languages and programming environments, as well as the code-specific optimization of computing instructions. As a result of advancing digitalization, HPC now represents an essential building block of science, research, and development, which many disciplines — both within and outside the armed forces — depend upon. Combinatorial optimization problems in logistics and production, numerical simulations in engineering or image analysis, and machine learning methods with real-time requirements in medical diagnostics are just three examples with high HPC relevance.

However, the potential of existing software solutions is often not fully exploited because computing resources are not always used efficiently. There could be various reasons for this, such as the time required for corresponding software optimizations, or the lack of HPC expertise. Ergo, there are gaps between the actual availability of computing power, the knowledge of computing potentials and the usability of the underlying systems. This results in reduced productivity when using digital research methods.

The aim of the hpc.bw project is to strengthen innovative cross-site HPC research at the universities of the armed forces and to accelerate the transfer of HPC knowledge to a wide range of disciplines in order to

·         sustainably strengthen research and development in the respective disciplines,

·         to promote interdisciplinary exchange between HPC-related problems,

·         derive new research questions for HPC from the various discipline-specific problems and answer them, and

·         to establish a joint HPC competence platform for users within and outside the armed forces.

To this end, a program will be set up, which will focus on disseminating information on HPC and offering contact points to HPC experts at the armed forces universities. This will be supplemented by further training on the use of HPC resources. In order to increase (research) productivity, software packages used by hpc.bw personnel are to be made more efficient and prepared for use on HPC platforms such as supercomputers.

These activities are supported by the establishment of a container-based HPC computing center. In order to ensure sustainability in HPC hardware and software, continuous evaluations of innovative HPC systems (in the context of benchmarks) as well as the support of HPC software projects with regard to software design, testing, etc., are planned.

Entries of the project in directories and specialized databases:

Seminar series „Computation & Data“

We establish a novel seminar series “Computation & Data” at HSU. The goal of this interdisciplinary seminar is to bring together researchers and foster exchange on the development of algorithms, methods and software with regard to (but not necessarily limited to):
• Scientific Computing & Computational Methods: Numerical methods and optimization, code coupling, etc., and their application to challenging discipline-specific problems
• Data science: machine learning, data analysis, statistical methods, etc., and their application to challenging discipline-specific problems
• Computational infrastructure & Hardware-aware programming: code optimization and parallelization, reconfigurable hardware, distributed/cloud/edge computing, etc.
The seminar series is scheduled for the last Thursday every month, 15:00-16:00, with 1-2 presentations, each 25 minutes, per session.

Next Seminar: 28.04.2022: 15:00-16:00 at the HSU, Hörsaal 3 (hybrid format via MS Teams)

Infrastructure Information Modelling: Workflow for an overall model infrastructure embedded in spatial base data

Jens Bartnitzek (A+S Consult GmbH)

Infrastructure Information Modelling is an approach which requires rethinking in the sense of cultural shift towards a systematic and partnership-based approach to major projects. Essentials from mathematics, computer science and civil engineering are necessary for describing the workflow reasonable. The seminar shows in a real world example the process of creating a 3D overall model of an infrastructure facility starting with federal spatial base data. We take a deeper look on the relevant data interfaces and technical workflows. After the inventory model is constructed, we connect different data from specialized models into the overall model for interdisciplinary use cases. The overall model is for a collaborative „3D planning“ with complete information linkage. We show how those use cases can be realized over multiple objects, connecting multiple data formats based on results from multiple software products.

If you are interested in joining, please send an e-mail to info-hpc-bw@hsu-hh.de with the subject line „Subscription Seminar Computation & Data“.

Currently there is no active call.

Past call

Call for projects for performance engineering

Content follows soon

Content follows soon

Do you have any questions about the project? You can reach the project team at




Letzte Änderung: 20. April 2022