Departments & Research Groups

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AMA - Applications, Middleware, IT-Architecture

The majority of modern business processes are IT or softwarebased. Different software systems are often used for this purpose, thus forming a heterogeneous IT landscape. The automation of business processes therefore requires the integration of these systems and applications.

At KIT, this system integration is a particularly important strategic goal. It requires cooperative solution approaches of all parties involved in the business processes. The SCC, as Information Technology Center of KIT, especially the Applications, Middleware, and IT Architecture (AMA) Department, designs such integrated IT solutions and services and operates them in a future-proof manner.

Particularly with regard to the variety of service providers and consumers existing at KIT, IT components and solutions that provide a KIT solution through interaction play an important role. The facets of integration considered in AMA include people, portals, processes, and providers of different technologies and procedures.

CMK - Client Management and Communication Services

CMK provides a secure and well-monitored groupware environment based on Microsoft Exchange and Microsoft SharePoint. While Exchange, in addition to providing email services, focusses on mobile communication and calendar applications, SharePoint enables KIT institutions to use web-based team portals for the exchange of all kinds of information.

In consultation with the IT officers of KIT institutions, CMK also provides basic Windows applications. For this modern methods of operating system and software deployment, such as Microsoft System Center Configuration Manager (SCCM) and Microsoft AppV, are utilised.

Using these techniques, the SCC computing pools are prepared for the operation of courses. The software is provided in consultation with the instructors.

Deputy Head of Department
Name Tel. E-Mail
1 additional person visible within KIT only.
Staff
Name Tel. E-Mail
16 additional persons visible within KIT only.

D3A - Data Analytics, Access and Applications

The department Data Analytics, Access and Applications (D3A) deals with challenges that must be solved for the efficient use of data-intensive applications.

The research and development activities of the department cover several topics:

  • Federated access methods and policies (authentication, authorization) for access to distributed storage and computing services
  • Development and practical use of scalable tools for data analytics and machine learning
  • Joint research and development with domain scientists, especially climate and environmental scientists in the field of data-intensive applications.
  • Contributions to the development of the European Open Science Cloud and the integration of communities within the framework of several EU projects

DEM - Data Exploitation Methods

Development of methods for exploring and analysis of large data collections
Repositories

The Data Exploitation Methods (DEM) department has been a part of SCC since 2018. Previously located at the Institute for Process Data Processing and Electronics (IPE), the connection to the SCC is a consequence of its proximity to the Helmholtz Engineering Digital Futures programme. The DEM department is a competent partner for research data management and data analysis with its expertise in dealing with heterogeneous data volumes.
 
DEM offers doctorates, student theses and HiWi positions for many exciting research topics (see Stellen bei DEM).

 

F&A - Finances and Administration

The internal and external business processes of the SCC are handled by the department Finances and Administration (F&A) under the direction of Sabine Düsenberg. The tasks in financial management include procurement, contracts and accounting, license management, budget planning, controlling and accounting.

Personnel administration includes the management of personnel and material resources budgets, personnel deployment planning, personnel administration and reporting.

The F&A department is responsible for organizational tasks relating to user rules, user rules for SCC services, house rules and user statistics. Internal events of the SCC are organized as well as meetings, conferences and working groups in which the department is involved.

Head of Department
Name Tel. E-Mail
1 additional person visible within KIT only.
Deputy Head of Department
Name Tel. E-Mail
1 additional person visible within KIT only.

IOR - Information Systems for Organisation and operative Resources

Translated with DeepL.com

The operation and development of the SAP landscape of KIT are among the fundamental tasks of the SCC-IOR department. The range of applications supported extends from financial accounting and controlling, through human resources, materials management and sales, to technical applications such as maintenance and production. IOR also operates more specialized applications, such as the Learning Solution as course and training software, as well as budget management, which is typical for public-sector companies. Independent applications for self-service procurement (SAP SRM) and a comprehensive reporting system (SAP BW) round off the portfolio.

In addition, many interfaces to NON-SAP systems are maintained in order to provide  consistent and valid data in these systems. Almost all SAP systems used are operated as a three-tier landscape and have the levels of development, quality assurance and production.

In the event of errors in the applications, IOR ensures rapid error correction after analysis. At regular intervals, the necessary software updates are carried out at the operational and application levels. IOR maintains many in-house developments within the SAP system to better support business processes at KIT. SCC-IOR works closely with the relevant departments to develop the necessary business concepts. In addition, SCC-IOR conducts training courses and provides first-level support to users in the event of operating problems with the software.

Further tasks of IOR include the operation of the time recording terminals and of the document management system integrated in SAP.

Deputy Head of Department
Name Tel. E-Mail
1 additional person visible within KIT only.
Staff
Name Tel. E-Mail
 
 
14 additional persons visible within KIT only.

ISL - Information Systems Studies and Teaching

The university administration of the KIT requires numerous IT-supported processes around study and teaching. The department "Information Systems Studies and Teaching" (ISL) supports these processes as well as the students and teachers with several IT systems centrally provided at the SCC. The core tasks of ISL include ensuring the trouble-free operation of these systems, consulting and support in the event of technical issues as well as the continuous expansion of IT systems through extensions and in-house developments. ISL works closely together with the central and decentralised organisational institutions directly involved in study and teaching.

The campus management systems CAS Campus and HIS are used for the administration of the complete life cycle of a student at the KIT. These systems offer IT support for many areas of activity, such as application and admission management, event and examination management as well as degree programme and student management. The Campus Management System "CAS Campus" is currently being introduced step by step at KIT in cooperation with the software manufacturer and replaces the previous system HIS (University Information System). As a central plattform for students, ISL develops and operates the Campus Management Portal for Students.

To support teaching, ISL provides the central e-learning system ILIAS, which offers various possibilities for the design and implementation of web-based teaching and learning, but also for communication and collaboration among ILIAS users. With the basic settings of ILIAS and with little initial effort, course rooms can be created (as a counterpart to the events recorded in Campus Management) in which, for example, materials accompanying lectures can be made available to course participants. ILIAS can also be used to create and manage other types of objects: Files, folders, user groups, photos, videos, appointments, meetings, wikis, forums, web feeds, tests, chat rooms, link collections, exercises, surveys and much more, for the construction of complex and versatile e-learning structures.

ISM - IT Security and Service Management

Users expect to have a comfortable and functional IT environment to work with. The department ISM, headed by Andreas Lorenz, improves and ensures the process and customer orientation of the entire SCC. For this purpose ISM follows consequently standardized Service Management Best Practices (ITIL = IT Infrastructure Library). So the quality of service and customer satisfaction will be optimized and stabilized. Planning, controlling and operation procedures can be organized more efficiently. The following challenging facts require special attention on the design of the mentioned processes:

  • the two locations concept of KIT
  • the integration into external and internal projects
  • the balancing act between “scientific freedom” and reasonable standardization of IT procedures.

Important preconditions for IT service operations are an appropriate IT security strategy and the operation of security services, which are planned, validated and implemented in this department. Established and planned IT components and technologies are standing under the security related surveillance and assessment of ISM. The bundling or these two topics, IT Security and Service Management, within the department of ISM, builds a solid basis to deliver secure and reliable IT Services for the KIT and beyond.

 

NET - Networks and Telecommunication

Access to the network is one of the main prerequisites for admission to information and communication today. A stable, functional and convenient network infrastructure is the basis for effective work of scientists, staff, students and external and internal users. The department NET headed by Klara Mall supplies the entire KIT with IP connectivity, runs the entire network infrastructure with active components such as routers and switches and the passive components like copper and fiber cabling. Beside the wired network NET is providing the wireless network of KIT and offers users a high degree of mobility. For access from the Internet or from home via DSL appropriate remote access solutions are offered. In addition, many network-related services such as DNS, NTP, DHCP, RADIUS, etc. are offered. Another focus of the department are telecommunication services. NET provides a multi-casting and streaming capable network infrastructure, established integrated value-added services for the future integration of voice and data services by establishing class of service in the network. This allows for application dependent classification of traffic as background, best effort, video, voice and prioritized management. The round-the-clock operation of the department will provide 24 hours a day, 7 days a week for the technical readiness and redundancy.

SCM - Scientific Computing & Mathematics

The Scientific Computing & Mathematics department links the activities of the Simulation and Data Life Cycle Labs (SDLs), the Computational Science and Mathematical Methods (CSMM) research group, and the HPC outreach projects Simulated Worlds and CAMMP. Here you can find the calls for master and bachelor theses.

SCS - Scientific Computing & Simulation

The Department of Scientific Computing and Simulation (SCS) provides the scientists at KIT with a variety of infrastructures and services relating to High Performance Computing (HPC). These task is considered as an integrated service that takes into account all aspects of scientific computing and the use of technical scientific applications. The service spectrum ranges from the operation of various high performance computing and high performance file systems via the provision of comprehensive basic software, including compilers, libraries, debuggers and batch systems, up to a broad range of application software for a variety of technical and scientific areas as well as the application-specific user support and training.

The High-Performance Computer Karlsruhe (HoreKa) operated by SCS is a tier-2 class system nationally available for research projects. In addition, SCS operates the bwUniCluster 2.0 for all universities of Baden-Württemberg in the context of the bwHPC concept.

SDM - Scientific Data Management

With the Large Scale Data Facility (LSDF) and the WLCG Tier1 center GridKa, the Scientific Data Management (SDM) department develops and operates data infrastructures for the storage, archiving, and processing of large, scientific data sets, e.g., from elementary particle physics, astroparticle physics, and biology, as well as the synchrotron radiation source KARA.

The SDM department works within the framework of the National Research Data Infrastructure(NFDI) in the cosortia. NFDI4Ing NFDI4ChemandPUNCH4NFDIon new concepts for the storage and processing of research data from the respective communities.

In addition, the department operates backup and archiving services for KIT and for universities and colleges in the state of Baden-Württemberg (bwDataArchive).

SYS - Systems and Servers

To provide central, reliable IT standard services is one of the basic tasks of an information technology centre. The SCC-division SYS (Systems and Servers) under the management of Klaus Scheibenberger is distributed over the two main KIT campuses, North and South, and is responsible for planning and operating central server services and standard plattforms for all KIT members as well as for external users.
This means, amongst others, operating the webserver infrastructure for the web sites of KIT divisions, a huge virtualisation environment at both campuses, as well as storage systems and storage area network (SAN) to provide storage capacity for systems. Operation of central directories (AD, OpenLDAP), including their interconnection to the identity management as well as central fileservices with standard NFS (network file system) and CIFS (common internet file system) and monitoring of systems and services are also under SYS' responsibility. Regarding these topics consulting and support is also done for other KIT divisions.
Beyond this, directly user-related IT services are supported, e.g. operating systems for mail in- and egress with delivery-, spam- and virus-check, as part of  the central mail environment, as well as cluster-systems for central databases and virtual machines, not only used for the central SCC services (with a high virtualization degree) but also available for KIT-divisions internally, e.g. databases and VMs regarding the 24h KIT library or research groups. Infrastructure support for the GridKa project, related to the LHC experiment at the Cern, complete the scope of duties of SYS.
All these tasks face the challenges of consolidation, harmonization and automatisation of processes. An increased availability of the basic central services is reached in particular by the two campuses concept and the continuous rising virtualisation.
Beneath these operational tasks continuative, operations related concepts  are developed coupled with the neccessary planning and activities for their realization.

CSMM - Research Group Computational Science and Mathematical Methods

FiNE - Junior Research Group Fixed-Point Methods for Numerics at Exascale

With the explosive rise in hardware parallelism, running applications efficiently on modern high-performance computing systems requires a total redesign of the underlying numerical methods. This new paradigm must include implementations that focus on node-level parallelism, reduced global communication volume, and relaxed synchronization requirements. The Fixed-Point Methods for Numerics at Exascale (FiNE) research group aims to tackle these challenges head on by developing a new class of algorithms for extreme-scale computing.

Research Group Distributed and Parallel High Performance Systems

The DPHPS (Distributed & Parallel High Performance Systems) group is tightly integrated in SCC and thus allows a close interaction of research topics, system-related and operational aspects of IT research infrastructures and practice-oriented teaching. The focus is on three major subject areas: Data Management, Data Intensive Computing and Cloud Computing.
 

In Data Management, research & development is about methods and technologies for distributed, efficient and secure handling of research data and for data archiving for the entire data life cycle. These methods and technologies are used in practice in cooperation with national and international partners and in close cooperation with application sciences. A special focus is on the handling of large-scale research data.

In Data Intensive Computing, research & development focusses on efficient scheduling methods (e.g. to bring computing jobs and data together more efficiently) as well as methods and tools for data analysis. Furthermore, parallel simulations and data analysis applications are developed and scaled for use on state-of-the-art, heterogeneous parallel high performance systems and optimized for efficient use of thousands of processor cores.

In Cloud Computing, efficient methods for the management and use of distributed resources (e.g. through scheduling and auctions) are developed and their performance is evaluated. The above-mentioned topics are integrated in the research-oriented lectures "Parallel Computing and Parallel Programming" and "Distributed Computing" as well as in seminars and praktika. In (almost) all research topics, student projects and bachelor/master are possible. More details can be found here or directly contact Achim Streit.

Scheme of the complete Data Life Cycle supported by the DLC-Labs of SCC
Supporting the complete Data Life Cycle

MBS - Junior Research Group Multiscale Biomolecular Simulation

The tremendous growth of high-performance computational (HPC) resources in the last decades has enabled the use of computers to perform virtual experiments that study a wide range of questions in science. Concurrent efforts in theory, experiment, simulation, and data exploitation have emerged as a new paradigm to speed the discovery of scientific phenomena and new technological applications, in particular at the interface between life and physical sciences. The Research Group Multiscale Biomolecular Simulation focuses on method development and application for three main research directions: (a) quantitatively understanding the structural and dynamic mechanism of life at the molecular level, (b) simulating cancer development at the cellular and tissue level, and (c) driving the development of novel nano-scaled materials.

Overview Research

Staff
Name Tel. E-Mail
3 additional persons visible within KIT only.

RAI - Junior Research Group Robust and Efficient AI

The research group emerges from the BMBF project EQUIPE, which has successfully attracted funding in a call for proposals on AI junior research groups under the BMBF guideline for the promotion of young researchers. The EQUIPE project aims to develop scalable and efficient methods for quantifying uncertainties in AI-based time series prediction and is funded for 3 years.

Mitarbeiter / Mitarbeiterinnen
Name Tel. E-Mail
3 additional persons visible within KIT only.

UQ - Junior Research Group Uncertainty Quantification

Mathematical models are ubiquitous in applications across science and technology, where these models are used to describe complex processes. To systematically investigate and predict phenomena of interest using computer simulations based on these models, we need accurate, reliable, and efficient computational methods. 

Many complex models of practical relevance are affected by uncertainties, for example due to a lack of knowledge of material properties, intrinsic natural variability, or by incorporating noisy data. Such uncertainties inevitably impact the considered mathematical model and consequently the quantification of the reliability of simulation outcomes.

The junior research group Uncertainty Quantification (UQ) develops advanced mathematical and numerical techniques for the treatment and quantification of uncertainties in complex computational models. Our research focuses on theoretical and methodological aspects, as well as on interdisciplinary projects where theoretical sound methodologies are tailored to applications.