Flavio Ponzina

Orcid: 0000-0002-9662-498X

According to our database1, Flavio Ponzina authored at least 24 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2025
GlucoseHD: Predicting Glucose Levels Using Hyperdimensional Computing.
IEEE Des. Test, April, 2025

Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs.
Proceedings of the 23rd ACM Conference on Embedded Networked Sensor Systems, 2025

DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing.
Proceedings of the Great Lakes Symposium on VLSI 2025, GLSVLSI 2025, New Orleans, LA, USA, 30 June 2025, 2025

E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning.
Proceedings of the 30th Asia and South Pacific Design Automation Conference, 2025

2024
An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs.
IEEE Trans. Very Large Scale Integr. Syst., June, 2024

SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis.
CoRR, 2024

MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems.
CoRR, 2024

LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles.
CoRR, 2024

DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2024

Multi-Model Inference Composition of Hyperdimensional Computing Ensembles.
Proceedings of the 42nd IEEE International Conference on Computer Design, 2024

Multi-Objective Software-Hardware Co-Optimization for HD-PIM via Noise-Aware Bayesian Optimization.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

HDXpose: Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks.
Proceedings of the 43rd IEEE/ACM International Conference on Computer-Aided Design, 2024

Resource-Efficient Continual Learning for Personalized Online Seizure Detection.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

HyperECG: ECG Signal Inference From Radar With Hyperdimensional Computing.
Proceedings of the 24th IEEE International Conference on Bioinformatics and Bioengineering, 2024

2023
Overflow-free Compute Memories for Edge AI Acceleration.
ACM Trans. Embed. Comput. Syst., October, 2023

An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors.
IEEE J. Emerg. Sel. Topics Circuits Syst., June, 2023

Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference.
IEEE Trans. Emerg. Top. Comput., 2023

2022
A Hardware/Software Co-Design Vision for Deep Learning at the Edge.
IEEE Micro, 2022

Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge.
Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2022

2021
E<sup>2</sup>CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices.
IEEE Trans. Computers, 2021

A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020
Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices.
IEEE Des. Test, 2020


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