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2020 – today
- 2026
[c17]Tianqi Zhang, Flavio Ponzina, Tajana Rosing:
SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing. ASP-DAC 2026: 688-695- [i13]Tianqi Zhang, Flavio Ponzina, Tajana Rosing:
SpANNS: Optimizing Approximate Nearest Neighbor Search for Sparse Vectors Using Near Memory Processing. CoRR abs/2601.03229 (2026) - [i12]Tianqi Zhang, Flavio Ponzina, Tajana Rosing:
FaTRQ: Tiered Residual Quantization for LLM Vector Search in Far-Memory-Aware ANNS Systems. CoRR abs/2601.09985 (2026) - [i11]Nilesh Prasad Pandey, Jangseon Park, Onat Güngör, Flavio Ponzina, Tajana Rosing:
QMC: Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design. CoRR abs/2601.14549 (2026) - 2025
- [j9]Flavio Ponzina
, Mialyssa Gomez, Congge Xu, Tajana Simunic Rosing:
GlucoseHD: Predicting Glucose Levels Using Hyperdimensional Computing. IEEE Des. Test 42(2): 17-24 (2025) - [j8]Corey Lammie, Yuxuan Wang, Flavio Ponzina, Joshua Alexander Harrison Klein, Hadjer Benmeziane, 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. IEEE Trans. Emerg. Top. Comput. 13(4): 1383-1395 (2025) - [c16]Le Zhang, Onat Güngör, Flavio Ponzina, Tajana Rosing:
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning. ASP-DAC 2025: 959-965 - [c15]Nilesh Prasad Pandey, Shriniwas Kulkarni, David Wang, Onat Güngör, Flavio Ponzina, Tajana Rosing:
DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing. ACM Great Lakes Symposium on VLSI 2025: 97-104 - [c14]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:
FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash. ICCAD 2025: 1-9 - [c13]Shriniwas Kulkarni, Flavio Ponzina, Tajana Rosing:
HyperDrone: An Accurate, Robust, Fast, and Energy-Efficient Approach for Drone Classification. ICCD 2025: 702-709 - [c12]Flavio Ponzina, Sumukh Pinge, Zheyu Li, Abhijay Deevi, Yilin Ge, Mingu Kang, Tajana Rosing:
SmartMS: Efficient Hierarchical Database Search for Mass Spectrometry via Processing-in-Memory. ISLPED 2025: 1-7 - [c11]Le Zhang, Quanling Zhao, Run Wang, Shirley Bian, Onat Güngör, Flavio Ponzina, Tajana Rosing:
Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs. SenSys 2025: 437-448 - [i10]Le Zhang, Quanling Zhao, Run Wang, Shirley Bian, Onat Güngör, Flavio Ponzina, Tajana Rosing:
Offload Rethinking by Cloud Assistance for Efficient Environmental Sound Recognition on LPWANs. CoRR abs/2502.15285 (2025) - [i9]Nilesh Prasad Pandey, Shriniwas Kulkarni, David Wang, Onat Güngör, Flavio Ponzina, Tajana Rosing:
DPQ-HD: Post-Training Compression for Ultra-Low Power Hyperdimensional Computing. CoRR abs/2505.05413 (2025) - [i8]Youhak Lee, Xiaofan Yu, Quanling Zhao, Flavio Ponzina, Tajana Rosing:
FedUHD: Unsupervised Federated Learning using Hyperdimensional Computing. CoRR abs/2508.12021 (2025) - [i7]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:
FeNOMS: Enhancing Open Modification Spectral Library Search with In-Storage Processing on Ferroelectric NAND (FeNAND) Flash. CoRR abs/2510.10872 (2025) - [i6]Md Mizanur Rahaman Nayan, Zheyu Li, Flavio Ponzina, Sumukh Pinge, Tajana Rosing, Azad J. Naeemi:
HERP: Hardware for Energy Efficient and Realtime DB Search and Cluster Expansion in Proteomics. CoRR abs/2511.03437 (2025) - 2024
- [j7]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): 1018-1031 (2024) - [c10]Matilda Gaddi, Flavio Ponzina, Fatemeh Asgarinejad, Baris Aksanli, Tajana Rosing:
HyperECG: ECG Signal Inference From Radar With Hyperdimensional Computing. BIBE 2024: 1-5 - [c9]Amirhossein Shahbazinia, Flavio Ponzina, José Angel Miranda, Jonathan Dan, Giovanni Ansaloni, David Atienza:
Resource-Efficient Continual Learning for Personalized Online Seizure Detection. EMBC 2024: 1-7 - [c8]Fatemeh Asgarinejad, Flavio Ponzina, Onat Güngör, Tajana Rosing, Baris Aksanli:
HDXpose: Harnessing Hyperdimensional Computing's Explainability for Adversarial Attacks. ICCAD 2024: 154:1-154:9 - [c7]Chien-Yi Yang, Minxuan Zhou, Flavio Ponzina, Suraj Sathya Prakash, Raid Ayoub, Pietro Mercati, Mahesh Subedar, Tajana Rosing:
Multi-Objective Software-Hardware Co-Optimization for HD-PIM via Noise-Aware Bayesian Optimization. ICCAD 2024: 158:1-158:9 - [c6]Flavio Ponzina, Rishikanth Chandrasekaran, Anya Wang, Seiji Minowada, Siddharth Sharma, Tajana Rosing:
Multi-Model Inference Composition of Hyperdimensional Computing Ensembles. ICCD 2024: 691-698 - [c5]Pengbo Yu, Flavio Ponzina, Alexandre Levisse, Dwaipayan Biswas, Giovanni Ansaloni, David Atienza, Francky Catthoor:
DBFS: Dynamic Bitwidth-Frequency Scaling for Efficient Software-defined SIMD. ISVLSI 2024: 204-209 - [i5]Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Alexander Harrison 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 abs/2401.09420 (2024) - [i4]Flavio Ponzina, Tajana Rosing:
MicroHD: An Accuracy-Driven Optimization of Hyperdimensional Computing Algorithms for TinyML systems. CoRR abs/2404.00039 (2024) - [i3]Le Zhang, Onat Güngör, Flavio Ponzina, Tajana Rosing:
E-QUARTIC: Energy Efficient Edge Ensemble of Convolutional Neural Networks for Resource-Optimized Learning. CoRR abs/2409.08369 (2024) - [i2]Keming Fan, Ashkan Moradifirouzabadi, Xiangjin Wu, Zheyu Li, Flavio Ponzina, Anton Persson, Eric Pop, Tajana Rosing, Mingu Kang:
SpecPCM: A Low-power PCM-based In-Memory Computing Accelerator for Full-stack Mass Spectrometry Analysis. CoRR abs/2411.09760 (2024) - 2023
- [j6]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): 489-501 (2023) - [j5]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): 121:1-121:23 (2023) - [j4]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): 358-372 (2023) - 2022
- [j3]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): 48-54 (2022) - [c4]Flavio Ponzina, Miguel Peón-Quirós, Giovanni Ansaloni, David Atienza:
An Accuracy-Driven Compression Methodology to Derive Efficient Codebook-Based CNNs. COINS 2022: 1-6 - [c3]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: 249-254 - [i1]Marco Rios, Flavio Ponzina, Alexandre Levisse, Giovanni Ansaloni, David Atienza:
Bit-Line Computing for CNN Accelerators Co-Design in Edge AI Inference. CoRR abs/2209.06108 (2022) - 2021
- [j2]Flavio Ponzina, Miguel Peón-Quirós, Andreas Burg, David Atienza:
E2CNNs: Ensembles of Convolutional Neural Networks to Improve Robustness Against Memory Errors in Edge-Computing Devices. IEEE Trans. Computers 70(8): 1199-1212 (2021) - [c2]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: 1881-1886 - [c1]Flavio Ponzina, Marco Rios, Giovanni Ansaloni, Alexandre Levisse, David Atienza:
A Flexible In-Memory Computing Architecture for Heterogeneously Quantized CNNs. ISVLSI 2021: 164-169 - 2020
- [j1]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): 84-92 (2020)
Coauthor Index
aka: Tajana Simunic Rosing
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