Flavio Ponzina

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Top Venues

ACM Trans. Embed. Comput. Syst.

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Pengbo Yu, Flavio Ponzina, Alexandre Levisse, Mohit Gupta, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Francky Catthoor
An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs. IEEE Trans. Very Large Scale Integr. Syst. 32 (6) (2024)
Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. CoRR (2024)
Flavio Ponzina, Tajana Rosing
MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems. CoRR (2024)
Silvio Zanoli, Flavio Ponzina, Tomás Teijeiro, Alexandre Levisse, David Atienza
An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (2) (2023)
Flavio Ponzina, Marco Rios, Alexandre Levisse, Giovanni Ansaloni, David Atienza
Overflow-free Compute Memories for Edge AI Acceleration. ACM Trans. Embed. Comput. Syst. 22 (5s) (2023)
Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. IEEE Trans. Emerg. Top. Comput. 11 (2) (2023)
Flavio Ponzina, Simone Machetti, Marco Rios, Benoît Walter Denkinger, Alexandre Levisse, Giovanni Ansaloni, Miguel Peón Quirós, David Atienza
A Hardware/Software Co-Design Vision for Deep Learning at the Edge. IEEE Micro 42 (6) (2022)
Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. CoRR (2022)
Flavio Ponzina, Miguel Peón Quirós, Giovanni Ansaloni, David Atienza
An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs. COINS (2022)
Marco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza
Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge. ACM Great Lakes Symposium on VLSI (2022)
Marco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza
Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing. DATE (2021)
Flavio Ponzina, Miguel Peón Quirós, Andreas Burg, David Atienza
CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices. IEEE Trans. Computers 70 (8) (2021)
Flavio Ponzina, Marco Rios, Giovanni Ansaloni, Alexandre Levisse, David Atienza
A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs. ISVLSI (2021)
Benoît W. Denkinger, Flavio Ponzina, Soumya Basu, Andrea Bonetti, Szabolcs Balási, Martino Ruggiero, Miguel Peón Quirós, Davide Rossi, Andreas Burg, David Atienza
Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices. IEEE Des. Test 37 (2) (2020)