Markus Fritscher

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Fourier Transform

Energy Efficient

Top Venues

Publications

Johannes Kliemt, Markus Fritscher, Dietmar Fey
Comparison of a Binary Signed-Digit Adder with Conventional Binary Adder Circuits on Layout Level. ARCS (2024)
Jianan Wen, Andrea Baroni, Eduardo Perez, Max Uhlmann, Markus Fritscher, Karthik KrishneGowda, Markus Ulbricht, Christian Wenger, Milos Krstic
Towards Reliable and Energy-Efficient RRAM Based Discrete Fourier Transform Accelerator. DATE (2024)
Jianan Wen, Fabian Luis Vargas, Fukun Zhu, Daniel Reiser, Andrea Baroni, Markus Fritscher, Eduardo Pérez, Marc Reichenbach, Christian Wenger, Milos Krstic
Cycle-Accurate FPGA Emulation of RRAM Crossbar Array: Efficient Device and Variability Modeling with Energy Consumption Assessment. LATS (2024)
Markus Fritscher, Alessandro Veronesi, Andrea Baroni, Jianan Wen, Thorsten Spätling, Mamathamba Kalishettyhalli Mahadevaiah, Norbert Herfurth, Eduardo Perez, Markus Ulbricht, Marc Reichenbach, Amelie Hagelauer, Milos Krstic
Prototyping Reconfigurable RRAM-Based AI Accelerators Using the RISC-V Ecosystem and Digital Twins. ISC Workshops (2023)
Abhinav Vishwakarma, Markus Fritscher, Amelie Hagelauer, Marc Reichenbach
An RRAM-based building block for reprogrammable non-uniform sampling ADCs. it Inf. Technol. 65 (1-2) (2023)
Max Uhlmann, Emilio Pérez-Bosch Quesada, Markus Fritscher, Eduardo Pérez, Markus Andreas Schubert, Marc Reichenbach, Philip Ostrovskyy, Christian Wenger, Gerhard Kahmen
One-Transistor-Multiple-RRAM Cells for Energy-Efficient In-Memory Computing. NEWCAS (2023)
Daniel Reiser, Marc Reichenbach, Tommaso Rizzi, Andrea Baroni, Markus Fritscher, Christian Wenger, Cristian Zambelli, Davide Bertozzi
Technology-Aware Drift Resilience Analysis of RRAM Crossbar Array Configurations. NEWCAS (2023)
Markus Fritscher, Gabriel Dengler, Cord Bleibaum, Michael Niebisch, Reinhard German
Accelerating Veins Simulations by Utilizing Task Parallelism on a HPC Cluster without Introducing Major Inaccuracies. CSNDSP (2022)
Markus Fritscher, Johannes Knödtel, Daniel Reiser, Maen Mallah, Stefan Pechmann, Dietmar Fey, Marc Reichenbach
Simulating large neural networks embedding MLC RRAM as weight storage considering device variations. LASCAS (2021)
Markus Fritscher, Johannes Knödtel, Maen Mallah, Stefan Pechmann, Emilio Pérez-Bosch Quesada, Tommaso Rizzi, Christian Wenger, Marc Reichenbach
Mitigating the Effects of RRAM Process Variation on the Accuracy of Artificial Neural Networks. SAMOS (2021)
Johannes Knödtel, Markus Fritscher, Daniel Reiser, Dietmar Fey, Marco Breiling, Marc Reichenbach
A Model-to-Circuit Compiler for Evaluation of DNN Accelerators based on Systolic Arrays and Multibit Emerging Memories. MOCAST (2020)
Markus Fritscher, Johannes Knödtel, Marc Reichenbach, Dietmar Fey
Simulating Memristive Systems in Mixed-Signal Mode using Commercial Design Tools. ICECS (2019)