B. W. Denkinger et al., "Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices," IEEE Design & Test, vol. 37, no. 2, pp. 84-92, 2020.
M. Rios et al., "Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing," 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), Grenoble, France, pp. 1881-1886, 2021.
F. Ponzina et al, "E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices," IEEE Transactions on Computers, vol. 70, no. 8, pp. 1199-1212, 2021
F. Ponzina et al., "A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs," 2021 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), Tampa, FL, USA, 2021, pp. 164-169, 2021.
F. Ponzina et al., “Using Algorithmic Transformations and Sensitivity Analysis to Unleash Approximations in CNNs at the Edge,” Micromachines (Basel), 2022.
M. Rios et al., “Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge,” Proceedings of the Great Lakes Symposium on VLSI 2022 (GLSVLSI '22). Association for Computing Machinery, New York, NY, USA, 249–254, 2022.
F. Ponzina et al., "An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs," 2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), Barcelona, Spain, pp. 1-6, 2022.
F. Ponzina et al., "A Hardware/Software Co-Design Vision for Deep Learning at the Edge," IEEE Micro, vol. 42, no. 6, pp. 48-54,
Nov.-Dec. 2022.
M. Rios et al., "Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference," IEEE Transactions on Emerging Topics in Computing, 2023.
S. Zanoli et al., “An error-based approximation sensing circuit for event-triggered, low power wearable sensors,” IEEE JETCAS 2023
F. Ponzina et al., “Overflow-free compute memories for edge ai acceleration,” ACM Transactions on Embedded Computing Systems (TECS), ACM New York, NY, USA, 2023. (Best paper award candidate)
Google Scholar account: Flavio Ponzina - Google Scholar
