akademischer Mitarbeiter

Publications

2024

  • Wen J., Vargas F., Zhu F, Reiser D, Baroni A, Fritscher M, Perez E, Reichenbach M, Wenger C, Krstic M:
    Cycle-Accurate FPGA Emulation of RRAM Crossbar Array: Efficient Device and Variability Modeling with Energy Consumption Assessment
    25th IEEE Latin American Test Symposium, 2024

2023

  • Reiser D, Reichenbach M, Rizzi T, Baroni A, Fritscher M, Wenger C, Zambelli C, D. Bertozzi D:
    Technology-Aware Drift Resilience Analysis of RRAM Crossbar Array Configurations
    21st IEEE Interregional NEWCAS Conference, 2023
  • Uhlmann M., Perez-Bosch Quesada E, Fritscher M, Perez E, Schubert M.A., Reichenbach M, Ostrovskyy P, Wenger C, Kahmen G:
    One-Transistor-Multiple-RRAM Cells for Energy-Efficient In-Memory Computing
    21st IEEE Interregional NEWCAS Conference, 2023
  • Fritscher M, Veronesi A , Baroni A, Wen J, Spätling T, Mahadevaiah M. K., Herfurth N., Perez E., Ulbricht M , Reichenbach M, Hagelauer A, Krstic M .:
    Prototyping reconfigurable RRAM-based AI accelerators using the RISC-V ecosystem and Digital Twins
    ISC High Performance 2023 International Workshops. ISC High Performance 2023

2022

  • Fritscher M, Dengler G, Bleibaum C, Niebisch M, German R.:
    Accelerating Veins Simulations by Utilizing Task Parallelism on a HPC Cluster Without Introducing Major Inaccuracies
    13th IEEE/IET International Symposium on Communication Systems, Networks and Digital Signal Processing

2021

  • Fritscher M., Knödtel J., Mallah M., Pechmann S., Quesada EP., Rizzi T., Wenger C., Reichenbach M.:
    Mitigating the Effects of RRAM Process Variation on the Accuracy of Artifical Neural Networks
    21th International Conference, SAMOS 2021
  • Fritscher M., Knödtel J., Reiser D., Mallah M., Pechmann S., Fey D., Reichenbach M.:
    Simulating large neural networks embedding MLC RRAM as weight storage considering device variations
    In: Proc. of 12th IEEE Latin America Symposium on Circuits and System 2021

2020

  • Knödtel J., Fritscher M., Reiser D., Fey D., Breiling M., Reichenbach M.:
    A Model-to-Circuit Compiler for Evaluation of DNN Accelerators based on Systolic Arrays and Multibit Emerging Memories
    9th International Conference on Modern Circuits and Systems Technologies, MOCAST 2020 (Bremen, 7. September 2020 - 9. September 2020)
    In: 9th International Conference on Modern Circuits and Systems Technologies, {MOCAST} 2020, Bremen, Germany, September 7-9, 2020 2020
    DOI: 10.1109/MOCAST49295.2020.9200241

2019

  • Fritscher M., Knödtel J., Reichenbach M., Fey D.:
    Simulating memristive systems in mixed-signal mode using commercial design tools
    26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 (Genoa, 27. November 2019 - 29. November 2019)
    In: 2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019 2019
    DOI: 10.1109/ICECS46596.2019.8964856