Staff photo for

Research Topics

  • Using FPGAs for Acceleration of database and machine learning applications
  • Heterogeneous systems and applications

Short CV

  • since 2019

    Graduate Research Associate in the Embedded Systems and Applications Group (ESA), TU Darmstadt

  • 2017-2019

    Master of Science in Computer Science, TU Darmstadt

  • 2014-2017

    Bachelor of Science in Computer Science, TU Darmstadt

Publications

  1. Weber, L., Sommer, L., Oppermann, J., Molina, A., Kersting, K., and Koch, A. (2019). Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs. In International Conference on Field-Programmable Technology (FPT).
    Preprint
    Bibtex
    @inproceedings{weber2019relnsafsiof,
      title = {Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs},
      author = {Weber, Lukas and Sommer, Lukas and Oppermann, Julian and Molina, Alejandro and Kersting, Kristian and Koch, Andreas},
      booktitle = {International Conference on Field-Programmable Technology (FPT)},
      year = {2019},
      preprint = {/assets/publications/materials/2019/2019_FPT_LW.pdf},
      shorthands = {lw, ls, jo, ahk}
    }
    
  2. Oppermann, J., Sommer, L., Weber, L., Reuter-Oppermann, M., Koch, A., and Sinnen, O. (2019). SkyCastle: A Resource-Aware Multi-Loop Scheduler for High-Level Synthesis. In International Conference on Field-Programmable Technology (FPT).
    Preprint
    Bibtex
    @inproceedings{oppermann2019scamlsfhls,
      title = {SkyCastle: A Resource-Aware Multi-Loop Scheduler for High-Level Synthesis},
      author = {Oppermann, Julian and Sommer, Lukas and Weber, Lukas and Reuter-Oppermann, Melanie and Koch, Andreas and Sinnen, Oliver},
      booktitle = {International Conference on Field-Programmable Technology (FPT)},
      year = {2019},
      preprint = {/assets/publications/materials/2019/2019_FPT_JO.pdf},
      shorthands = {jo, ls, lw, ahk}
    }
    
  3. Ober, M., Hofmann, J., Sommer, L., Weber, L., and Koch, A. (2019). High-Throughput Multi-Threaded Sum-Product Network Inference in the Reconfigurable Cloud. In Fifth International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC).
    Preprint
    Bibtex
    @inproceedings{ober2019h2rc,
      title = {High-Throughput Multi-Threaded Sum-Product Network Inference in the Reconfigurable Cloud},
      author = {Ober, Micha and Hofmann, Jaco and Sommer, Lukas and Weber, Lukas and Koch, Andreas},
      booktitle = {Fifth International Workshop on Heterogeneous High-performance Reconfigurable Computing (H2RC)},
      year = {2019},
      preprint = {/assets/publications/materials/2019/2019_H2RC_MIO.pdf},
      shorthands = {jah, ahk, ls, lw}
    }