Dr.-Ing. Dipl.-Inform. Tanja Harbaum

Dr.-Ing. Dipl.-Inform. Tanja Harbaum

  • Engesserstr. 5

    76131 Karlsruhe

Research interests

Design of adaptive hardware architectures

The demands laid down microarchitectures are increasing steadily, and much of the technological innovation of recent decades has only been made possible by the progress of the semiconductor industry and the accomplished increases in integrated circuit performance. A further increase of the
performance of integrated circuits is no longer self-evident, because physical limits will be reached soon. New architectures have to be designed in order to meet the increasing demands at this point.

ITK Venture & Innovation Lab

The ITK Venture & Innovation Lab offers the opportunity to actively shape innovation projects and develop customer-focused prototypes. In this way, science and business are growing even closer together in the coming years. All student projects are linked to existing research and innovation projects. One of these is Smart Textile, in which the linking of textiles with intelligent sensor technology is being investigated. Here, students can work on different aspects and design prototypes to further develop "smart textiles".

Artificial intelligence in embedded systems

The performance of embedded systems can be increased enormously by integrating AI algorithms that are adapted to the embedded hardware. Through a hardware/software co-design, a fast and efficient AI execution on embedded systems can be realized. For the development of new cyber-physical systems (CPS) and Internet of Things (IoT) products, AI is becoming an increasingly important factor.

Teaching

Übungen zu Hardware/Software Co-Design

Student works to be assigned
title type

Supervised student works (selection)

  • MA: “Konzeptioneller Entwurf eines modularen Sensornetzwerks für intelligente Textilanwendungen”
  • BA: ”Evaluation of Various Sensor Fusion Parameters for Online Handwriting Recognition and Trajectory Reconstruction”
  • MA: “Evaluation of Robustness against changing weather conditions of Multi Modal AI-based Object Detection”
  • MA: “Conceptual and Physical Design of a Hybrid Flexible Electronic System (HyFES) for Motion Tracking”
  • SA: “Appropriate Adaptive Algorithms Facing Emerging Challenges for Wearables”
  • SA: “A Review of Approximate Computing methods for a Universal Approximate Hardware Accelerator”
  • BA: "Design and Modeling of a Runtime Adaptive Accelerator for a Reconfigurable Processor Architecture"
  • MA: "Integration of runtime adaptive reconfiguration of hardware accelerators into a LEON3 architecture"
  • BA: "Design, Implementation and Evaluation of a Pipeline Architecture for an FPGA Memory Architecture with Pattern Recognition Capability"
  • MA: "Entwurf, Implementierung und Evaluierung einer FPGA-Speicherstruktur mit der Fähigkeit der Mustererkennung"
  • BA: "Design, Implementation and Evaluation of a Memory Architecture in XILINX B-RAM"

Publications


2023
Conference Papers
Automated Search for Deep Neural Network Inference Partitioning on Embedded FPGA
Kreß, F.; Hoefer, J.; Hotfilter, T.; Walter, I.; El Annabi, E. M.; Harbaum, T.; Becker, J.
2023. Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Hrsg.: I. Koprinska. Pt. 1, 557–568, Springer International Publishing. doi:10.1007/978-3-031-23618-1_37
2022
Conference Papers
Runtime Adaptive Cache Checkpointing for RISC Multi-Core Processors
Kempf, F.; Höfer, J.; Kreß, F.; Hotfilter, T.; Harbaum, T.; Becker, J.
2022. Conference Proceedings: 2022 IEEE 35th International System-on-Chip Conference (SOCC) Ed.: S. Sezer, 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SOCC56010.2022.9908110
Hardware-aware Partitioning of Convolutional Neural Network Inference for Embedded AI Applications
Kreß, F.; Hoefer, J.; Hotfilter, T.; Walter, I.; Sidorenko, V.; Harbaum, T.; Becker, J.
2022. 18th International Conference on Distributed Computing in Sensor Systems (DCOSS), 133–140, IEEEXplore. doi:10.1109/DCOSS54816.2022.00034
Hardware-aware Workload Distribution for AI-based Online Handwriting Recognition in a Sensor Pen
Kreß, F.; Serdyuk, A.; Hotfilter, T.; Höfer, J.; Harbaum, T.; Becker, J.; Hamann, T.
2022. 2022 11th Mediterranean Conference on Embedded Computing (MECO). Ed.: IEEE, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MECO55406.2022.9797131
2020
Conference Papers
A Hardware Perspective on the ChaCha Ciphers: Scalable Chacha8/12/20 Implementations Ranging from 476 Slices to Bitrates of 175 Gbit/s
Pfau, J.; Reuter, M.; Harbaum, T.; Hofmann, K.; Becker, J.
2020. 2019 32nd IEEE International System-on-Chip Conference (SOCC), Singapore, 3-6 Sept. 2019, 294–299, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SOCC46988.2019.1570548289
2019
PhD Theses
Dynamisch adaptive Mikroarchitekturen mit optimierten Speicherstrukturen und variablen Befehlssätzen. PhD dissertation
Harbaum, T.
2019. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000096122
2018
Conference Papers
A Content-Adapted FPGA Memory Architecture with Pattern Recognition Capability and Interval Compressing Technique
Harbaum, T.; Balzer, M.; Becker, J.; Weber, M.
2018. Proceedings of the 31th IEEE International System-on-Chip Conference (SOCC), 118–123, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SOCC.2018.8618493
2017
Conference Papers
Auto-SI: An adaptive reconfigurable processor with run-time loop detection and acceleration
Harbaum, T.; Schade, C.; Damschen, M.; Tradowsky, C.; Bauer, L.; Henkel, J.; Becker, J.
2017. 2017 30th IEEE International System-on-Chip Conference (SOCC), Munich, 5–8 September 2017, 153–158, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SOCC.2017.8226027
2016
Journal Articles
Search for pair-produced vectorlike B quarks in proton-proton collisions at √s =8 TeV
CMS Collaboration; Khachatryan, V.; Sirunyan, A. M.; Tumasyan, A.; Adam, W.; Asilar, E.; Bergauer, T.; Brandstetter, J.; Brondolin, E.; Dragicevic, M.; Erö, J.; Flechl, M.; Friedl, M.; Frühwirth, R.; Ghete, V. M.; Hartl, C.; Hörmann, N.; Hrubec, J.; Jeitler, M.; Harbaum, T.; et al.
2016. Physical review / D, 93 (11), 112009. doi:10.1103/PhysRevD.93.112009
Conference Papers
A Novel ADL-based Approach to Design Adaptive Application-Specific Processors
Tradowsky, C.; Harbaum, T.; Masing, L.; Becker, J.
2016. Best of ISVLSI 2016, Pittsburgh, Pennsylvania, U.S.A., July 11-13, 2016, Springer
A Content Adapted FPGA Memory Architecture with Pattern Recognition Capability for L1 Track Triggering in the LHC Environment
Harbaum, T.; Seboui, M.; Balzer, M.; Becker, J.; Weber, M.
2016. 24th IEEE International Symposium on Field-Programmable Custom Computing Machines, FCCM 2016; Washington; United States; 1 May 2016 through 3 May 2016, 184–191, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/FCCM.2016.52
An FPGA-based track finder for the L1 trigger of the CMS experiment at the high luminosity LHC
Amstutz, C.; Ball, F. A.; Balzer, M. N.; Brooke, J.; Calligaris, L.; Cieri, D.; Clement, E. J.; Hall, G.; Harbaum, T. R.; Harder, K.; Hobson, P. R.; Iles, G. M.; James, T.; Manolopoulos, K.; Matsushita, T.; Morton, A. D.; Newbold, D.; Paramesvaran, S.; Pesaresi, M.; Reid, I. D.; et al.
2016. 20th Real Time Conference (RT), IEEE-NPSS, Padova, Italy, 6-10 June 2016, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/RTC.2016.7543102
Emulation of a prototype FPGA track finder for the CMS Phase-2 upgrade with the CIDAF emulation framework
Amstutz, C.; Ball, F. A.; Balzer, M. N.; Brooke, J.; Calligaris, L.; Cieri, D.; Clement, E. J.; Hall, G.; Harbaum, T. R.; Harder, K.; Hobson, P. R.; Iles, G. M.; James, T.; Manolopoulos, K.; Matsushita, T.; Morton, A. D.; Newbold, D.; Paramesvaran, S.; Pesaresi, M.; Reid, I. D.; et al.
2016. 20th Real Time Conference (RT) IEEE-NPSS, Padova, Italy, 6-10 June 2016, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/RTC.2016.7543110
2015
Journal Articles
Combined measurement of the higgs boson mass in pp collisions at s =7 and 8 TeV with the ATLAS and CMS experiments
Aad, G.; Abbott, B.; Abdallah, J.; Abdinov, O.; Aben, R.; Abolins, M.; Abouzeid, O. S.; Abramowicz, H.; Abreu, H.; Abreu, R.; Abulaiti, Y.; Acharya, B. S.; Adamczyk, L.; Adams, D. L.; Adelman, J.; Adomeit, S.; Adye, T.; Affolder, A. A.; Agatonovic-Jovin, T.; Harbaum, T.; et al.
2015. Physical review letters, 114 (19), 191803. doi:10.1103/PhysRevLett.114.191803
2013
Conference Papers
LImbiC: An adaptable architecture description language model for developing an application-specific image processor
Tradowsky, C.; Harbaum, T.; Deyerle, S.; Becker, J.
2013. IEEE Computer Society Annual Symposium on VLSI (ISVLSI’13), Natal, Brazil, August 5-7, 2013, 34–39, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ISVLSI.2013.6654619
2012
Conference Papers
A Student-built Ball-throwing Robotic Companion for Hands-on Robotics Education
Oberländer, J.; Harbaum, T.; Kurz, G.; Ahmed, N.; Kos-Grabar, T.; Hermann, A.; Roenau, A.; Dillmann, R.
2012. Field robotics : proceedings of the 14th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines, CLAWAR 2011, Paris, France, 6-8 September 2011. Ed.: P. Bidaud, 233–240, World Scientific Publishing