• Technische Universität Darmstadt
• Computer Science Department (FB20)
• Embedded Systems & Applications Group (ESA)
• Hochschulstr. 10
• D-64289 Darmstadt


• Phone: +49 6151 / 16-2252
• E-Mail: wirth@esa.tu-darmstadt.de


• S2|02 Raum E107

(Short-)CV

• since 2020

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

• 2018-2020

  Master of Science IT Security, TU Darmstadt

• 2014-2018

  Bachelor of Science Computer Science, TU Darmstadt

Publications

1. Weber, L., Wirth, J., Sommer, L., and Koch, A. (2022). Exploiting High-Bandwidth Memory for FPGA- Acceleration of Inference on Sum-Product Networks. In 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
   Preprint
   Bibtex

   @inproceedings{weber2022raw,
     author = {Weber, Lukas and Wirth, Johannes and Sommer, Lukas and Koch, Andreas},
     booktitle = {2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)},
     title = {Exploiting High-Bandwidth Memory for FPGA- Acceleration of Inference on Sum-Product Networks},
     year = {2022},
     volume = {},
     number = {}
   }
   

2. Wirth, J., Hofmann, J. A., Thostrup, L., Binnig, C., and Koch, A. (2021). Scalable and Flexible High-Performance In-Network Processing of Hash Joins in Distributed Databases. In International Conference on Field-Programmable Technology (FPT).
   Preprint
   Bibtex

   @inproceedings{wirth2021fpt,
     title = {Scalable and Flexible High-Performance In-Network Processing of Hash Joins in Distributed Databases},
     author = {Wirth, Johannes and Hofmann, Jaco A. and Thostrup, Lasse and Binnig, Carsten and Koch, Andreas},
     booktitle = {International Conference on Field-Programmable Technology (FPT)},
     year = {2021}
   }
   

3. Hartmann, M., Weber, L., Wirth, J., Sommer, L., and Koch, A. (2021). Optimizing a Hardware Network Stack to Realize an In-Network ML Inference Application. In 2021 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC).
   Preprint Slides
   Bibtex

   @inproceedings{hartmann2021h2rc,
     title = {Optimizing a Hardware Network Stack to Realize an In-Network ML Inference Application},
     author = {Hartmann, Marco and Weber, Lukas and Wirth, Johannes and Sommer, Lukas and Koch, Andreas},
     booktitle = {2021 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC)},
     year = {2021}
   }
   

4. Wirth, J., Hofmann, J. A., Thostrup, L., Koch, A., and Binnig, C. (2021). Exploiting 3D Memory for Accelerated In-Network Processing of Hash Joins in Distributed Databases. In S. Derrien, F. Hannig, P. C. Diniz, and D. Chillet (Eds.), Applied Reconfigurable Computing. Architectures, Tools, and Applications (pp. 18–32). Cham: Springer International Publishing.
   Preprint
   Bibtex

   @inproceedings{10.1007/978-3-030-79025-7_2,
     author = {Wirth, Johannes and Hofmann, Jaco A. and Thostrup, Lasse and Koch, Andreas and Binnig, Carsten},
     editor = {Derrien, Steven and Hannig, Frank and Diniz, Pedro C. and Chillet, Daniel},
     title = {Exploiting 3D Memory for Accelerated In-Network Processing of Hash Joins in Distributed Databases},
     booktitle = {Applied Reconfigurable Computing. Architectures, Tools, and Applications},
     year = {2021},
     publisher = {Springer International Publishing},
     address = {Cham},
     pages = {18--32},
     isbn = {978-3-030-79025-7}
   }