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Advanced Computing innovation area
Advanced Computing innovation area
Sub­ject areas
Fields of ap­plic­a­tion
Goals and vis­ions
Re­search ques­tions and tasks
Selected projects
Man­ager
Uni­ver­sity lec­tur­ers in­volved
  1. SICP – Software Innovation Campus Paderborn
  2. Innovation areas
  3. Advanced Computing

Advanced Computing innovation area

Over the past few decades, a wide range of computing variants have developed which, depending on their degree of maturity, have also found applications outside of science. Advanced computing stands for the use of advanced technologies and concepts to handle complex information processing tasks. This includes high-performance computing (in the industrial and scientific fields), quantum computing, distributed/edge computing and much more. The aim is to combine specific computer systems and innovative algorithms to solve challenging problems. The innovation potential lies in the computer systems, their architectures, the algorithms and in the consideration of new requirements such as sustainability, security, sovereignty and robustness.

 

Sub­ject areas

This is an excerpt of current topics that are continuously being expanded and updated.

  • Computational Reuse
    Reusability of data and information by making it structured and accessible in such a way that it can be easily found, used and reused in different applications or calculations (FAIR principle on data/information).
  • Distributed computing
    Distributed computing refers to the allocation of complex tasks to several interconnected computers that work in parallel. This enables faster processing, better resource utilisation and scalability. The systems coordinate their work via networks, share data and results in order to solve large problems together, such as in clusters, clouds or global networks.
  • Energy-aware computing
    Energy-aware computing optimises the energy consumption of computer systems by adapting resources and operating modes to workload and performance requirements. Emission-aware computing takes into account the carbon footprint of energy sources and prioritises clean energy or low-emission time slots to minimise the environmental impact. Both approaches promote sustainability in IT.
  • On-the-fly computing
    On-the-fly computing describes the dynamic and demand-orientated creation of individual IT services. Resources, software components and data are combined in real time to provide customised solutions for specific requirements. This approach promotes flexibility, efficiency and enables adaptation to changing user needs without pre-defined infrastructures.

Fields of ap­plic­a­tion

Sector coupling

 

Waste heat utilisation

 

Integration of renewable energy

 

Edge Cloud System 4

 

Goals and vis­ions

Our aim is to use existing variants in computing to support data-driven and software-intensive innovations. These technologies enable innovations that would not be realisable without their use. In addition, we are driving the evolution of these computing variants to meet the ever-changing demands of sustainability, security and other important aspects.

Re­search ques­tions and tasks

  • Where are the freedoms and limits in the application of the topics?
  • Automation and data requirements
  • Intelligent control and regulation
  • Building understanding
  • Identification and implementation in applications
  • Combining physical and digital processes

Selected projects

DC2HEAT - Data Centre HEat Recovery with AI-Technologies

Duration: 2023 - 2026 Funded by: BMUV

More about the project

ESN4NW: Energieoptimierte Supercomputer-Netzwerke durch die Nutzung von Windenergie

Duration: 2022 - 2025 Funded by: BMBF

More about the project

Man­ager

Gunnar Schomaker
Dr. Gunnar Schomaker

> Software Innovation Campus Paderborn (SICP)

Second Head - Research Associate - Vice Managing Director Software Innovation Lab, R&D Manager – Smart Systems

Office: ZM2.A.03.74
Phone: +49 5251 60-6823
Phone: +49 178 8192000
E-mail: gsch@mail.uni-paderborn.de
E-mail: schomaker@sicp.de

Uni­ver­sity lec­tur­ers in­volved

Prof. Dr. Johannes Blömer

> Paderborn University

Vice President - Professor - Vice President for Research and Junior Academics

Phone: +49 5251 60-6651
E-mail: bloemer@mail.uni-paderborn.de

Prof. Dr. Axel-Cyrille Ngonga Ngomo

> Informatik Rechnerbetrieb (IRB)

Head - Professor

Office: F1.225
Phone: +49 5251 60-1761
E-mail: axel.ngonga@uni-paderborn.de

Prof. Dr. Marco Platzner

> Faculty of Computer Science, Electrical Engineering and Mathematics

Dean of Research - Professor

Office: O3.207
Phone: +49 5251 60-5250
E-mail: eim-forschungsdekan@lists.uni-paderborn.de

Prof. Dr. Christian Plessl

> High-Performance Computing

Head - Professor

Office: X1.101
Phone: +49 5251 60-5399
Phone: 05251/60-1735
E-mail: christian.plessl@uni-paderborn.de

Prof. Dr. Christian Scheideler

> Theory of Distributed Systems

Head - Professor - Theory of Distributed Systems

Office: F2.326
Phone: +49 5251 60-6728
E-mail: scheideler@uni-paderborn.de

Prof. Dr. Lin Wang

> Computer Networks

Head - Professor

Office: O3.149
Phone: +49 5251 60-5375
E-mail: lin.wang@uni-paderborn.de

Prof. Dr. Guido Schryen

> Management Information Systems and Operations Research

Professor

Office: Q2.463
Phone: +49 5251 60-3115
E-mail: guido.schryen@uni-paderborn.de

Prof. Dr. Sybille Hellebrand

> Computer Engineering (DATE)

Head - Professor

Office: P1.6.08.1
Phone: +49 5251 60-3002
E-mail: sybille.hellebrand@uni-paderborn.de

Prof. Dr. Peter Schreier

> Signal & System Theory (SST)

Head - Professor

Office: P1.7.01.2
Phone: +49 5251 60-2213
E-mail: peter.schreier@sst.uni-paderborn.de

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