High-Performance Computing Research Group
The mission of our group is to perform computing systems research for energy-efficient high-performance computing. Our specific focus is custom computing with FPGAs (field-programmable gate arrays). This technology allows the developers to create highly efficient processing architectures by tailoring the processor architecture to the needs of the application. In collaboration with the Paderborn Center for Parallel Computing (PC²) we are validating our foundational research with practical HPC applications, frequently in cooperations with research groups from computational sciences. In teaching we offer courses, seminars, projects in the areas of custom and high-performance computing. We participate in several national and transnational research projects.
Please refer to our teaching and research pages for more detailed information.
Research
The research of our group revolves around computer architectures, design methods and applications for energy-efficient computing systems. Our main expertise is in custom and heterogeneous computing in the context of high-performance computing. In custom computing, we use FPGA-based reconfigurable hardware architectures that can be specialized to the target application, which can lead to significantly improved performance and energy-efficiency when compared with general-purpose CPUs. Our work in HPC revolves around the topic of the development of massively-scalable algorithms for scientific computing, in particular, for the domains of physics, chemistry and engineering.
Our research is primarily foundational, with an emphasis on the development of new methods, which we evaluate by simulation or prototypes targeting case studies. In tigh collaboration with domain experts at the Paderborn Center for Parallel Computing (PC2) and users of PC2 , we validate our research also with actual scientific applications. Our research has been supported by numerous third party funding agencies, such as, German Research Foundation (DFG), German Ministry for Education and Research (BMBF), and the European Commission. We also maintain collaborations with industrial partners, such as, AMD/Xilinx and Intel/Altera.
Teaching
The High-Performance Computing Group is offering lectures, seminars, project groups and Bachelor-/Master's theses. For more information on our current and past offerings, please follow the navigations links below.
Publikationen
L. Van Hirtum, P. De Causmaecker, J. Goemaere, T. Kenter, H. Riebler, M. Laß, C. Plessl, ACM Transactions on Reconfigurable Technology and Systems 17 (2024) 1–28.
M. Meyer, T. Kenter, L. Petrica, K. O’Brien, M. Blott, C. Plessl, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2024.
J.-O. Opdenhövel, C. Alt, C. Plessl, T. Kenter, in: 2024 34th International Conference on Field-Programmable Logic and Applications (FPL), IEEE, 2024.
A.R. Tareen, M. Meyer, C. Plessl, T. Kenter, in: 2024 IEEE 32nd Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), IEEE, 2024.
P. Stachura, G. Li, X. Wu, C. Plessl, Z. Fang, in: 2024 34th International Conference on Field-Programmable Logic and Applications (FPL), IEEE, 2024, pp. 60–68.
M. Büttner, C. Alt, T. Kenter, H. Köstler, C. Plessl, V. Aizinger, in: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2024.
C. Alt, T. Kenter, S. Faghih-Naini, J. Faj, J.-O. Opdenhövel, C. Plessl, V. Aizinger, J. Hönig, H. Köstler, in: Lecture Notes in Computer Science, Springer Nature Switzerland, Cham, 2023.
J. Faj, T. Kenter, S. Faghih-Naini, C. Plessl, V. Aizinger, in: Proceedings of the Platform for Advanced Scientific Computing Conference (PASC), ACM, 2023.
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Contact
Prof. Dr. Christian Plessl
Hochleistungsrechnen
Mersinweg 5
33100 Paderborn