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BUSSOLINO PANGERZ, BEATRICE
Dipartimento di Elettronica e Telecomunicazioni
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Risultati 1 - 11 di 11 (tempo di esecuzione: 0.017 secondi).
An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks
2020 Capra, Maurizio; Bussolino, Beatrice; Marchisio, Alberto; Shafique, Muhammad; Masera, Guido; Martina, Maurizio
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
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
Q-CapsNets: A Specialized Framework for Quantizing Capsule Networks
2020 Marchisio, Alberto; Bussolino, Beatrice; Colucci, Alessio; Martina, Maurizio; Masera, Guido; Shafique, Muhammad
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead
2020 Capra, M.; Bussolino, B.; Marchisio, A.; Masera, G.; Martina, M.; Shafique, M.
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
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
RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks
2022 Marchisio, Alberto; Mrazek, Vojtech; Massa, Andrea; Bussolino, Beatrice; Martina, Maurizio; Shafique, Muhammad
Techniques and Optimization Strategies for Efficient Hardware Acceleration of Neural Networks: Tap-Wisely-Quantized Winograd Algorithm and Capsule Networks
2023 Bussolino, Beatrice
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks / Capra, Maurizio; Bussolino, Beatrice; Marchisio, Alberto; Shafique, Muhammad; Masera, Guido; Martina, Maurizio. - In: FUTURE INTERNET. - ISSN 1999-5903. - ELETTRONICO. - 12:7(2020), pp. 113-134. [10.3390/fi12070113] | 1-gen-2020 | Capra, MaurizioBussolino, BeatriceMasera, GuidoMartina, Maurizio + | futureinternet-12-00113.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 |
| 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 |
| 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 |
| Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead / Capra, M.; Bussolino, B.; Marchisio, A.; Masera, G.; Martina, M.; Shafique, M.. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 8:(2020), pp. 225134-225180. [10.1109/ACCESS.2020.3039858] | 1-gen-2020 | Capra M.Bussolino B.Masera G.Martina M. + | articolo_pubblicato.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 |
| 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 |
| RoHNAS: A Neural Architecture Search Framework with Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks / Marchisio, Alberto; Mrazek, Vojtech; Massa, Andrea; Bussolino, Beatrice; Martina, Maurizio; Shafique, Muhammad. - In: IEEE ACCESS. - ISSN 2169-3536. - ELETTRONICO. - 10:(2022), pp. 109043-109055. [10.1109/ACCESS.2022.3214312] | 1-gen-2022 | Bussolino, BeatriceMartina, Maurizio + | RoHNAS_A_Neural_Architecture_Search_Framework_with_Conjoint_Optimization_for_Adversarial_Robustness_and_Hardware_Efficiency_of_Convolutional_and_Capsule_Networks.pdf; Bussolino-RoHNAS.pdf |
| Techniques and Optimization Strategies for Efficient Hardware Acceleration of Neural Networks: Tap-Wisely-Quantized Winograd Algorithm and Capsule Networks / Bussolino, Beatrice. - (2023 Jun 21), pp. 1-167. | 21-giu-2023 | BUSSOLINO, BEATRICE | conv_latex_thesis.pdf; conv_abstract_clean.pdf |