Flavio Ponzina

39 papers A 5C 3Misc 1Journal 22Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems.
CoRR
Tianqi Zhang, Flavio Ponzina, Tajana Rosing
2026 J jnl
QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design.
CoRR
Nilesh Prasad Pandey, Jangseon Park, Onat Güngör, Flavio Ponzina, Tajana Rosing
2026 — conf
SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing.
ASP-DAC
Tianqi Zhang, Flavio Ponzina, Tajana Rosing
2026 J jnl
SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing.
CoRR
Tianqi Zhang, Flavio Ponzina, Tajana Rosing
2025 — conf
DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing.
ACM Great Lakes Symposium on VLSI
Nilesh Prasad Pandey, Shriniwas Kulkarni, David Wang, Onat Güngör, Flavio Ponzina, Tajana Rosing
2025 J jnl
DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing.
CoRR
Nilesh Prasad Pandey, Shriniwas Kulkarni, David Wang, Onat Güngör, Flavio Ponzina, Tajana Rosing
2025 — conf
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning.
ASP-DAC
Le Zhang, Onat Güngör, Flavio Ponzina, Tajana Rosing
2025 A conf
FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash.
ICCAD
Sumukh Pinge, Ashkan Moradifirouzabadi, Keming Fan, Prasanna Venkatesan Ravindran, Tanvir H. Pantha, Po-Kai Hsu, Zheyu Li, Weihong Xu, Zihan Xia, Flavio Ponzina, Winston Chern, Taeyoung Song, Priyankka Gundlapudi Ravikumar, Mengkun Tian, Lance Fernandes, Huy Tran, Hari Jayasankar, Hang Chen, Chinsung Park, Amrit Garlapati, Kijoon Kim, Jongho Woo, Suhwan Lim, Kwangsoo Kim, Wanki Kim, Daewon Ha, Duygu Kuzum, Shimeng Yu, Sourav Dutta, Asif Khan, Tajana Rosing, Mingu Kang
2025 J jnl
FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash.
CoRR
Sumukh Pinge, Ashkan Moradifirouzabadi, Keming Fan, Prasanna Venkatesan Ravindran, Tanvir H. Pantha, Po-Kai Hsu, Zheyu Li, Weihong Xu, Zihan Xia, Flavio Ponzina, Winston Chern, Taeyoung Song, Priyankka Gundlapudi Ravikumar, Mengkun Tian, Lance Fernandes, Huy Tran, Hari Jayasankar, Hang Chen, Chinsung Park, Amrit Garlapati, Kijoon Kim, Jongho Woo, Suhwan Lim, Kwangsoo Kim, Wanki Kim, Daewon Ha, Duygu Kuzum, Shimeng Yu, Sourav Dutta, Asif Islam Khan, Tajana Rosing, Mingu Kang
2025 J jnl
FedUHD: Unsupervised Federated Learning using Hyperdimensional Computing.
CoRR
Youhak Lee, Xiaofan Yu, Quanling Zhao, Flavio Ponzina, Tajana Rosing
2025 J jnl
GlucoseHD: Predicting Glucose Levels Using Hyperdimensional Computing.
IEEE Des. Test
Flavio Ponzina, Mialyssa Gomez, Congge Xu, Tajana Simunic Rosing
2025 J jnl
HERP: Hardware for Energy Efficient and Realtime DB Search and Cluster Expansion in Proteomics.
CoRR
Md Mizanur Rahaman Nayan, Zheyu Li, Flavio Ponzina, Sumukh Pinge, Tajana Rosing, Azad J. Naeemi
2025 C conf
HyperDrone: An Accurate, Robust, Fast, and Energy-Efficient Approach for Drone Classification.
ICCD
Shriniwas Kulkarni, Flavio Ponzina, Tajana Rosing
2025 J jnl
LionHeart: A Layer-Based Mapping Framework for Heterogeneous Systems With Analog In-Memory Computing Tiles.
IEEE Trans. Emerg. Top. Comput.
Corey Lammie, Yuxuan Wang, Flavio Ponzina, Joshua Alexander Harrison Klein, Hadjer Benmeziane, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
2025 Misc conf
Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs.
SenSys
Le Zhang, Quanling Zhao, Run Wang, Shirley Bian, Onat Güngör, Flavio Ponzina, Tajana Rosing
2025 J jnl
Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs.
CoRR
Le Zhang, Quanling Zhao, Run Wang, Shirley Bian, Onat Güngör, Flavio Ponzina, Tajana Rosing
2025 A conf
SmartMS: Efficient Hierarchical Database Search for Mass Spectrometry via Processing-in-Memory.
ISLPED
Flavio Ponzina, Sumukh Pinge, Zheyu Li, Abhijay Deevi, Yilin Ge, Mingu Kang, Tajana Rosing
2024 J jnl
An Energy Efficient Soft SIMD Microarchitecture and Its Application on Quantized CNNs.
IEEE Trans. Very Large Scale Integr. Syst.
Pengbo Yu, Flavio Ponzina, Alexandre Levisse, Mohit Gupta, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Francky Catthoor
2024 — conf
DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD.
ISVLSI
Pengbo Yu, Flavio Ponzina, Alexandre Levisse, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Francky Catthoor
2024 J jnl
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning.
CoRR
Le Zhang, Onat Güngör, Flavio Ponzina, Tajana Rosing
2024 A conf
HDXpose: Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks.
ICCAD
Fatemeh Asgarinejad, Flavio Ponzina, Onat Güngör, Tajana Rosing, Baris Aksanli
2024 C conf
HyperECG: ECG Signal Inference From Radar With Hyperdimensional Computing.
BIBE
Matilda Gaddi, Flavio Ponzina, Fatemeh Asgarinejad, Baris Aksanli, Tajana Rosing
2024 J jnl
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles.
CoRR
Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Alexander Harrison Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza
2024 J jnl
MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems.
CoRR
Flavio Ponzina, Tajana Rosing
2024 C conf
Multi-Model Inference Composition of Hyperdimensional Computing Ensembles.
ICCD
Flavio Ponzina, Rishikanth Chandrasekaran, Anya Wang, Seiji Minowada, Siddharth Sharma, Tajana Rosing
2024 A conf
Multi-Objective Software-Hardware Co-Optimization for HD-PIM via Noise-Aware Bayesian Optimization.
ICCAD
Chien-Yi Yang, Minxuan Zhou, Flavio Ponzina, Suraj Sathya Prakash, Raid Ayoub, Pietro Mercati, Mahesh Subedar, Tajana Rosing
2024 — conf
Resource-Efficient Continual Learning for Personalized Online Seizure Detection.
EMBC
Amirhossein Shahbazinia, Flavio Ponzina, José Angel Miranda, Jonathan Dan, Giovanni Ansaloni, David Atienza
2024 J jnl
SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis.
CoRR
Keming Fan, Ashkan Moradifirouzabadi, Xiangjin Wu, Zheyu Li, Flavio Ponzina, Anton Persson, Eric Pop, Tajana Rosing, Mingu Kang
2023 J jnl
An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors.
IEEE J. Emerg. Sel. Topics Circuits Syst.
Silvio Zanoli, Flavio Ponzina, Tomás Teijeiro, Alexandre Levisse, David Atienza
2023 J jnl
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference.
IEEE Trans. Emerg. Top. Comput.
Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza
2023 J jnl
Overflow-free Compute Memories for Edge AI Acceleration.
ACM Trans. Embed. Comput. Syst.
Flavio Ponzina, Marco Rios, Alexandre Levisse, Giovanni Ansaloni, David Atienza
2022 J jnl
A Hardware/Software Co-Design Vision for Deep Learning at the Edge.
IEEE Micro
Flavio Ponzina, Simone Machetti, Marco Rios, Benoît Walter Denkinger, Alexandre Levisse, Giovanni Ansaloni, Miguel Peón-Quirós, David Atienza
2022 — conf
An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs.
COINS
Flavio Ponzina, Miguel Peón-Quirós, Giovanni Ansaloni, David Atienza
2022 J jnl
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference.
CoRR
Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza
2022 — conf
Error Resilient In-Memory Computing Architecture for CNN Inference on the Edge.
ACM Great Lakes Symposium on VLSI
Marco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza
2021 — conf
A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs.
ISVLSI
Flavio Ponzina, Marco Rios, Giovanni Ansaloni, Alexandre Levisse, David Atienza
2021 J jnl
E
IEEE Trans. Computers
Flavio Ponzina, Miguel Peón-Quirós, Andreas Burg, David Atienza
2021 A conf
Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing.
DATE
Marco Rios, Flavio Ponzina, Giovanni Ansaloni, Alexandre Levisse, David Atienza
2020 J jnl
Impact of Memory Voltage Scaling on Accuracy and Resilience of Deep Learning Based Edge Devices.
IEEE Des. Test
Benoît W. Denkinger, Flavio Ponzina, Soumya Basu, Andrea Bonetti, Szabolcs Balási, Martino Ruggiero, Miguel Peón-Quirós, Davide Rossi, Andreas Burg, David Atienza