| Exploring software models for the resilience analysis of deep learning accelerators: The NVDLA case study A Veronesi, F Dall’Occo, D Bertozzi, M Favalli, M Krstic 2022 25th International Symposium on Design and Diagnostics of Electronic …, 2022 | 8 | 2022 |
| Cross-layer hardware/software assessment of the open-source nvdla configurable deep learning accelerator A Veronesi, M Krstic, D Bertozzi 2020 IFIP/IEEE 28th International Conference on Very Large Scale Integration …, 2020 | 2 | 2020 |
| Prototyping Reconfigurable RRAM-Based AI Accelerators Using the RISC-V Ecosystem and Digital Twins M Fritscher, A Veronesi, A Baroni, J Wen, T Spätling, MK Mahadevaiah, ... International Conference on High Performance Computing, 500-514, 2023 | 1 | 2023 |
| Resiliency in Digital Processing Systems M Krstić, M Andjelković, J Chen, L Lu, A Veronesi, M Ulbricht 2023 IEEE 33rd International Conference on Microelectronics (MIEL), 1-8, 2023 | | 2023 |
| Assessing the Configuration Space of the Open Source NVDLA Deep Learning Accelerator on a Mainstream MPSoC Platform A Veronesi, D Bertozzi, M Krstic VLSI-SoC: Design Trends: 28th IFIP WG 10.5/IEEE International Conference on …, 2021 | | 2021 |
Milos KrsticProfessor, University of Potsdam; Department Head, IHP, Frankfurt (Oder) GermanyVerified email at ihp-microelectronics.com
