Archivio Istituzionale della RicercaBUSSOLINO PANGERZ, BEATRICE
BUSSOLINO PANGERZ, BEATRICE
Dipartimento di Elettronica e Telecomunicazioni
043377
Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations
2022 Marchisio, Alberto; Bussolino, Beatrice; Salvati, Edoardo; Martina, Maurizio; Masera, Guido; Shafique, Muhammad
Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile
2022 Andri, Renzo; Bussolino, Beatrice; Cipolletta, Antonio; Cavigelli, Lukas; Wang, Zhe
NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators
2022 Aiello, Giuseppe; Bussolino, Beatrice; Valpreda, Emanuele; Ruo Roch, Massimo; Masera, Guido; Martina, Maurizio; Marsi, Stefano
A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress
2020 Colucci, Alessio; Marchisio, Alberto; Bussolino, Beatrice; Mrazek, Voitech; Martina, Maurizio; Masera, Guido; Shafique, Muhammad
FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks
2020 Marchisio, Alberto; Bussolino, Beatrice; Colucci, Alessio; Hanif, Muhammad Abdullah; Martina, Maurizio; Masera, Guido; Shafique, Muhammad
NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks
2020 Marchisio, Alberto; Massa, Andrea; Mrazek, Vojtech; Bussolino, Beatrice; Martina, Maurizio; Shafique, Muhammad
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks
2020 Marchisio, Alberto; Bussolino, Beatrice; Colucci, Alessio; Martina, Maurizio; Masera, Guido; Shafique, Muhammad
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations / Marchisio, Alberto; Bussolino, Beatrice; Salvati, Edoardo; Martina, Maurizio; Masera, Guido; Shafique, Muhammad. - ELETTRONICO. - (2022). (Intervento presentato al convegno ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design tenutosi a Boston (USA) nel 1-2 August 2022) [10.1145/3531437.3539717]. | 1-gen-2022 | Bussolino, BeatriceMartina, MaurizioMasera, Guido + | ispled2022_editoriale.pdf |
| Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tile / Andri, Renzo; Bussolino, Beatrice; Cipolletta, Antonio; Cavigelli, Lukas; Wang, Zhe. - ELETTRONICO. - (2022), pp. 582-598. (Intervento presentato al convegno IEEE/ACM International Symposium on Microarchitecture tenutosi a Chicago (USA) nel 1-5 October 2022) [10.1109/MICRO56248.2022.00048]. | 1-gen-2022 | Beatrice Bussolino + | MICRO_22_TapwiseWinogradAcceleration.pdf; Bussolino-Going.pdf |
| NLCMAP: A Framework for the Efficient Mapping of Non-Linear Convolutional Neural Networks on FPGA Accelerators / Aiello, Giuseppe; Bussolino, Beatrice; Valpreda, Emanuele; Ruo Roch, Massimo; Masera, Guido; Martina, Maurizio; Marsi, Stefano. - ELETTRONICO. - (2022). (Intervento presentato al convegno International Conference on Image Processing tenutosi a Bordeaux, France nel 16-19 October 2022) [10.1109/ICIP46576.2022.9897288]. | 1-gen-2022 | Bussolino, BeatriceValpreda, EmanueleRuo Roch, MassimoMasera, GuidoMartina, Maurizio + | ICIP_2021____Aiello.pdf; Bussolini-NLCMAP.pdf |
| A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress / Colucci, Alessio; Marchisio, Alberto; Bussolino, Beatrice; Mrazek, Voitech; Martina, Maurizio; Masera, Guido; Shafique, Muhammad. - ELETTRONICO. - 1:(2020), pp. 34-36. (Intervento presentato al convegno International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) tenutosi a Singapore nel 20-25 September 2020) [10.1109/CODESISSS51650.2020.9244038]. | 1-gen-2020 | Bussolino, BeatriceMartina, MaurizioMasera, Guido + | post_print_autore.pdf; post_print_editoriale.pdf |
| FasTrCaps: An Integrated Framework for Fast yet Accurate Training of Capsule Networks / Marchisio, Alberto; Bussolino, Beatrice; Colucci, Alessio; Hanif, Muhammad Abdullah; Martina, Maurizio; Masera, Guido; Shafique, Muhammad. - ELETTRONICO. - 1:(2020), pp. 1-8. (Intervento presentato al convegno 2020 International Joint Conference on Neural Networks (IJCNN) tenutosi a Glasgow (UK) nel 19-24 July 2020) [10.1109/IJCNN48605.2020.9207533]. | 1-gen-2020 | Bussolino, BeatriceMartina, MaurizioMasera, Guido + | 09207533.pdf; FasTrCaps.pdf |
| NASCaps: A Framework for Neural Architecture Search to Optimize the Accuracy and Hardware Efficiency of Convolutional Capsule Networks / Marchisio, Alberto; Massa, Andrea; Mrazek, Vojtech; Bussolino, Beatrice; Martina, Maurizio; Shafique, Muhammad. - ELETTRONICO. - 1:(2020), pp. 1-9. (Intervento presentato al convegno 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD) tenutosi a Virtual Event, USA nel 2 - 5 Novembre) [10.1145/3400302.3415731]. | 1-gen-2020 | Bussolino, BeatriceMartina, Maurizio + | iccad_published.pdf; ICCAD2020_NAS_CapsNet_postprintautore.pdf |
| Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks / Marchisio, Alberto; Bussolino, Beatrice; Colucci, Alessio; Martina, Maurizio; Masera, Guido; Shafique, Muhammad. - ELETTRONICO. - 1:(2020), pp. 1-6. (Intervento presentato al convegno 2020 57th ACM/IEEE Design Automation Conference (DAC) tenutosi a San Francisco, CA, USA, USA nel 20-24 July 2020) [10.1109/DAC18072.2020.9218746]. | 1-gen-2020 | Bussolino, BeatriceMartina, MaurizioMasera, Guido + | 095_3.pdf; Q-CapsNets.pdf |