S2|02 Raum E121

Forschungsgebiete

FPGA/GPU accelerators for sensor data processing

Lebenslauf

2015-2018

Bachelor of Science in Computer Science, TU Darmstadt
2018-2021

Master of Science in Autonomous Systems, TU Darmstadt
April - October 2019

Internship, European Space Agency ESOC
since 2021

Research Associate at the Embedded Systems and Applications Group (ESA)

Publications

Strobl, J., Solis-Vasquez, L., Lavan, Y., and Koch, A. (2025). A Compute Graph Simulation and Implementation Framework Targeting AMD Versal AI Engines. In Proceedings of the Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC Workshops ’25). Association for Computing Machinery. doi: 10.1145/3731599.3767411
Preprint DOI

Bibtex

@inproceedings{strobl2025h2rc,
  author = {Strobl, Jonathan and Solis-Vasquez, Leonardo and Lavan, Yannick and Koch, Andreas},
  title = {A Compute Graph Simulation and Implementation Framework Targeting AMD Versal AI Engines},
  booktitle = {Proceedings of the Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC Workshops '25)},
  year = {2025},
  publisher = {Association for Computing Machinery},
  doi = {10.1145/3731599.3767411}
}

Scheck, M., Lavan, Y., Spang, C., and Koch, A. (2025). SCOoOTER: A RISC-V Processor Framework and Tool Flow for an Architecture-to-Layout Design Course. In Proc. Workshop on Computer Architecture Education (WCAE).
Preprint

Bibtex

@inproceedings{scheck2025scoooter,
  author = {Scheck, Markus and Lavan, Yannick and Spang, Christoph and Koch, Andreas},
  title = {SCOoOTER: A RISC-V Processor Framework and Tool Flow for an Architecture-to-Layout Design Course},
  year = {2025},
  booktitle = {Proc. Workshop on Computer Architecture Education (WCAE)}
}

Heinz, C., Kalkhof, T., Lavan, Y., and Koch, A. (2024). TaPaSCo-AIE: An Open-Source Framework for Streaming-based Heterogeneous Acceleration using AMD AI Engines. In 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW). doi: 10.1109/IPDPSW63119.2024.00041
Best Paper Award Preprint DOI

Bibtex

@inproceedings{heinz2024raw,
  author = {Heinz, Carsten and Kalkhof, Torben and Lavan, Yannick and Koch, Andreas},
  booktitle = {2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)},
  title = {TaPaSCo-AIE: An Open-Source Framework for Streaming-based Heterogeneous Acceleration using AMD AI Engines},
  year = {2024},
  doi = {10.1109/IPDPSW63119.2024.00041}
}

Strobl, J., Solis-Vasquez, L., Lavan, Y., and Koch, A. (2024). Graphtoy: Fast Software Simulation of Applications for AMD’s AI Engines. In Applied Reconfigurable Computing. Architectures, Tools, and Applications. Springer International Publishing. doi: 10.1007/978-3-031-55673-9_12
Preprint DOI Slides

Bibtex

@inproceedings{strobl2024arc,
  author = {Strobl, Jonathan and Solis-Vasquez, Leonardo and Lavan, Yannick and Koch, Andreas},
  title = {Graphtoy: Fast Software Simulation of Applications for AMD’s AI Engines},
  booktitle = {Applied Reconfigurable Computing. Architectures, Tools, and Applications},
  year = {2024},
  publisher = {Springer International Publishing},
  doi = {10.1007/978-3-031-55673-9_12}
}

Spang, C., Lavan, Y., Hartmann, M., Meisel, F., and Koch, A. (2022). DExIE - An IoT-Class Hardware Monitor for Real-Time Fine-Grained Control-Flow Integrity. In Journal of Signal Processing Systems (Vol. 94, pp. 739–752). doi: 10.1007/s11265-021-01732-5
Preprint DOI URL

Bibtex

@inproceedings{spang2022jsps,
  author = {Spang, Christoph and Lavan, Yannick and Hartmann, Marco and Meisel, Florian and Koch, Andreas},
  title = {DExIE - An IoT-Class Hardware Monitor for Real-Time Fine-Grained Control-Flow Integrity},
  journal = {Journal of Signal Processing Systems},
  year = {2022},
  month = jul,
  day = {01},
  volume = {94},
  number = {7},
  pages = {739-752},
  issn = {1939-8115},
  doi = {10.1007/s11265-021-01732-5},
  url = {https://doi.org/10.1007/s11265-021-01732-5}
}

Spang, C., Lavan, Y., Hartmann, M., Meisel, F., and Koch, A. (2021). DExIE - An IoT-Class Hardware Monitor for Real-Time Fine-Grained Control-Flow Integrity. In Workshop on Design and Architectures for Signal and Image Processing (14th Edition), DASIP ’21 (pp. 26–34). New York, NY, USA: Association for Computing Machinery. doi: 10.1145/3441110.3441146
Best Paper Award Preprint DOI URL Slides

Bibtex

@inproceedings{spang2021dasip,
  author = {Spang, Christoph and Lavan, Yannick and Hartmann, Marco and Meisel, Florian and Koch, Andreas},
  title = {DExIE - An IoT-Class Hardware Monitor for Real-Time Fine-Grained Control-Flow Integrity},
  year = {2021},
  isbn = {9781450389013},
  publisher = {Association for Computing Machinery},
  address = {New York, NY, USA},
  url = {https://doi.org/10.1145/3441110.3441146},
  doi = {10.1145/3441110.3441146},
  booktitle = {Workshop on Design and Architectures for Signal and Image Processing (14th Edition)},
  pages = {26–34},
  numpages = {9},
  keywords = {Fine-Grained Control Flow Integrity, IoT, Real Time, RISC-V, Hardware Security, Low Overhead},
  location = {Budapest, Hungary},
  series = {DASIP '21}
}

Heinz, C., Lavan, Y., Hofmann, J., and Koch, A. (2019). A Catalog and In-Hardware Evaluation of Open-Source Drop-In Compatible RISC-V Softcore Processors. In IEEE Proc. International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE. doi: 10.1109/ReConFig48160.2019.8994796
Preprint DOI

Bibtex

@inproceedings{heinz2019reconfig,
  title = {A Catalog and In-Hardware Evaluation of Open-Source Drop-In Compatible RISC-V Softcore Processors},
  author = {Heinz, Carsten and Lavan, Yannick and Hofmann, Jaco and Koch, Andreas},
  booktitle = {IEEE Proc. International Conference on ReConFigurable Computing and FPGAs (ReConFig)},
  year = {2019},
  organization = {IEEE},
  doi = {10.1109/ReConFig48160.2019.8994796}
}