Herr M.Sc.

Florian Neugebauer

Wissenschaftlicher Mitarbeiter
Institut für Technische Informatik
Hardwareorientierte Informatik

Kontakt

+49 711 685-88389
+49 711 685-88288

Pfaffenwaldring 47
D-70569 Stuttgart
Deutschland
Raum: 3.172

  1. 2021

    1. Machine Learning for On-the-fly Reliability-Aware Cell Library Characterization. Florian Klemme and Hussam Amrouch. IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) (2021).
    2. Impact of NCFET Technology on Eliminating the Cooling Cost and Boosting the Efficiency of Google TPU. Sami Salamin; Georgios Zervakis; Florian Klemme; Hammam Kattan; Yogesh Chauhan; Jörg Henkel and Hussam Amrouch. IEEE Transactions on Computers (TC’21) (2021).
    3. Design Close to the Edge in Advanced Technology using Machine  Learning. Hussam Amrouch and Florian Klemme. In 27th Asia and South Pacific Design Automation Conference  (ASP-DAC’22), 2021.
    4. Machine Learning for Circuit Aging Estimation under Workload Dependency. Florian Klemme and Hussam Amrouch. In IEEE International Test Conference (ITC’21), 2021.
  2. 2020

    1. Retraining and Regularization to Optimize Neural Networks for Stochastic Computing. Junseok Oh; Florian Neugebauer; Ilia Polian and John Hayes. In 2020 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2020, pp. 246–251. DOI: https://doi.org/10.1109/ISVLSI49217.2020.00052
    2. Hardware-based fast real-time image classification with stochastic computing. Ponana Kelettira Muthappa; Florian Neugebauer; Ilia Polian and John P. Hayes. In Proceedings of the 38th IEEE International Conference on Computer Design (ICCD’20), 2020.
    3. Massively Parallel Circuit Setup in GPU-SPICE. V. van Santen; F. Florian Diep; J. Henkel and H. Amrouch. IEEE Transactions on Computers (TC’20) (2020).
    4. Modeling Emerging Technologies using Machine Learning:  Challenges and Opportunities. Florian Klemme; Jannik Prinz; Victor M. van Santen; Joerg Henkel and Hussam Amrouch. In IEEE/ACM 38th International Conference on Computer-Aided Design (ICCAD’20), 2020.
    5. Cell Library Characterization using Machine Learning for Design Technology Co-Optimization. Florian Klemme; Yogesh Chauhan; Joerg Henkel and Hussam Amrouch. In IEEE/ACM 38th International Conference on Computer-Aided Design (ICCAD’20), 2020.
  3. 2019

    1. On the maximum function in stochastic computing. Florian Neugebauer; Ilia Polian and John P. Hayes. In Proceedings of the 16th ACM International Conference on Computing Frontiers, CF 2019, Alghero, Italy, April 30 - May 2, 2019., 2019, pp. 59--66. DOI: https://doi.org/10.1145/3310273.3323050
  4. 2018

    1. S-box-based random number generation for stochastic computing. Florian Neugebauer; Ilia Polian and John P. Hayes. Microprocessors and Microsystems - Embedded Hardware Design 61, (2018), pp. 316--326. DOI: https://doi.org/10.1016/j.micpro.2018.06.009
    2. Framework for Quantifying and Managing Accuracy in Stochastic Circuit Design. Florian Neugebauer; Ilia Polian and John P. Hayes. JETC 14, 2 (2018), pp. 31:1--31:21. DOI: https://doi.org/10.1145/3183345
  5. 2017

    1. Building a Better Random Number Generator for Stochastic Computing. Florian Neugebauer; Ilia Polian and John P. Hayes. In Euromicro Conference on Digital System Design, DSD 2017, Vienna, Austria, August 30 - Sept. 1, 2017, 2017, pp. 1--8. DOI: https://doi.org/10.1109/DSD.2017.29
    2. Framework for quantifying and managing accuracy in stochastic circuit design. Florian Neugebauer; Ilia Polian and John P. Hayes. In Design, Automation & Test in Europe Conference & Exhibition, DATE 2017, Lausanne, Switzerland, March 27-31, 2017, 2017, pp. 1--6. DOI: https://doi.org/10.23919/DATE.2017.7926949
  6. 2002

    1. Combining Deterministic Logic BIST with Test Point Insertion. Harald Vranken; Florian Meister and Hans-Joachim Wunderlich. In Proceedings of the 7th European Test Workshop (ETW’02), Korfu, Greece, 2002, pp. 105--110. DOI: https://doi.org/10.1109/ETW.2002.1029646
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