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ORCIDAlberto Bosio
- > Home > Persons > Alberto Bosio
Publications
- 2024
[c196]Ian O'Connor, Sara Mannaa, Alberto Bosio, Bastien Deveautour, Damien Deleruyelle
, Tetiana Obukhova, Cédric Marchand, Jens Trommer, Çigdem Çakirlar, Bruno Neckel Wesling, Thomas Mikolajick, Oskar Baumgartner, Mischa Thesberg, David Pirker, Christoph Lenz, Zlatan Stanojevic, Markus Karner, Guilhem Larrieu, Sylvain Pelloquin, Konstantinous Moustakas, Jonas Müller, Giovanni Ansaloni, Alireza Amirshahi, David Atienza, Jean-Luc Rouas, Leila Ben Letaifa, Georgeta Bordeall, Charles Brazier, Chhandak Mukherjee, Marina Deng, Yifan Wang, Marc François, Houssem Rezgui, Reveil Lucas, Cristell Maneux:
FVLLMONTI: The 3D Neural Network Compute Cube $(N^{2}C^{2})$ Concept for Efficient Transformer Architectures Towards Speech-to-Speech Translation. DATE 2024: 1-6- [c195]Taha Shahroodi, Raphael Cardoso, Stephan Wong, Alberto Bosio, Ian O'Connor, Said Hamdioui:
High-Performance Data Mapping for BNNs on PCM-Based Integrated Photonics. DATE 2024: 1-6 - [c185]Sara Mannaa, Cédric Marchand, Damien Deleruyelle, Bastien Deveautour, Alberto Bosio, Christoph Lenz, Oskar Baumgartner, Ian O'Connor:
3D VNWFET-Based Standard Cell Library Design Flow: from Circuit and Physical Design to Logic Synthesis. VLSI-SoC 2024: 1-4 - [i7]Taha Shahroodi, Raphael Cardoso, Stephan Wong, Alberto Bosio, Ian O'Connor, Said Hamdioui:
High-Performance Data Mapping for BNNs on PCM-based Integrated Photonics. CoRR abs/2401.17724 (2024) - [i5]Mauricio Gomes de Queiroz, Paul Jiménez, Raphael Cardoso, Mateus Vidaletti Costa, Mohab Abdalla, Ian O'Connor, Alberto Bosio, Fabio Pavanello:
The Impact of Feature Representation on the Accuracy of Photonic Neural Networks. CoRR abs/2406.18757 (2024) - 2023
- [c182]Taha Shahroodi, Raphael Cardoso, Mahdi Zahedi, Stephan Wong, Alberto Bosio, Ian O'Connor, Said Hamdioui:
Lightspeed Binary Neural Networks using Optical Phase-Change Materials. DATE 2023: 1-2 - [c181]Salvatore Pappalardo, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio:
Resilience-Performance Tradeoff Analysis of a Deep Neural Network Accelerator. DDECS 2023: 181-186 - [c180]Salvatore Pappalardo, Ali Piri, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio:
Investigating the effect of approximate multipliers on the resilience of a systolic array DNN accelerator. DFT 2023: 1-6 - [c179]Ali Piri, Salvatore Pappalardo, Salvatore Barone, Mario Barbareschi, Bastien Deveautour, Marcello Traiola, Ian O'Connor, Alberto Bosio:
Input-aware accuracy characterization for approximate circuits. DSN-W 2023: 179-182 - [c178]Rajendra Bishnoi, Sumit Diware, Anteneh Gebregiorgis, Simon Thomann, Sara Mannaa, Bastien Deveautour, Cédric Marchand, Alberto Bosio, Damien Deleruyelle, Ian O'Connor, Hussam Amrouch, Said Hamdioui:
Energy-efficient Computation-In-Memory Architecture using Emerging Technologies. ICM 2023: 325-334 - [c177]Salvatore Pappalardo, Annachiara Ruospo, Ian O'Connor, Bastien Deveautour, Ernesto Sánchez, Alberto Bosio:
A Fault Injection Framework for AI Hardware Accelerators. LATS 2023: 1-6 - [c176]Cédric Marchand, Alban Nicolas, Paul-Antoine Matrangolo, David Navarro, Alberto Bosio, Ian O'Connor:
FeFET based Logic-in-Memory design methodologies, tools and open challenges. VLSI-SoC 2023: 1-6 - 2022
- [c173]Ali Piri, Sepide Saeedi, Mario Barbareschi, Bastien Deveautour, Stefano Di Carlo, Ian O'Connor, Alessandro Savino, Marcello Traiola, Alberto Bosio:
Input-Aware Approximate Computing. AQTR 2022: 1-6 - [c172]Etienne Dupuis, David Novo, Ian O'Connor, Alberto Bosio:
A Heuristic Exploration of Retraining-free Weight-Sharing for CNN Compression. ASP-DAC 2022: 134-139 - [c171]Cristiana Bolchini, Alberto Bosio, Luca Cassano, Bastien Deveautour, Giorgio Di Natale, Antonio Miele, Ian O'Connor, Elena-Ioana Vatajelu:
Dependability of Alternative Computing Paradigms for Machine Learning: hype or hope? DDECS 2022: 7-13 - [c170]Mario Barbareschi, Alberto Bosio, Ian O'Connor, Petr Fiser, Marcello Traiola:
A Design Space Exploration Framework for Memristor-Based Crossbar Architecture. DDECS 2022: 38-43 - [c166]Alberto Bosio, Bastien Deveautour, Ian O'Connor:
Exploiting Approximate Computing for Efficient and Reliable Convolutional Neural Networks. ISVLSI 2022: 326 - [c164]Arnaud Poittevin, Ian O'Connor, Cédric Marchand, Alberto Bosio, Cristell Maneux, Chhandak Mukherjee, Guilhem Larrieu, Abhishek Kumar:
A Logic Cell Design and routing Methodology Specific to VNWFET. NEWCAS 2022: 460-464 - [i2]Etienne Dupuis, Silviu-Ioan Filip, Olivier Sentieys, David Novo, Ian O'Connor, Alberto Bosio:
Approximations in Deep Learning. CoRR abs/2212.04297 (2022) - 2021
- [j36]Annachiara Ruospo, Ernesto Sánchez, Marcello Traiola, Ian O'Connor, Alberto Bosio:
Investigating data representation for efficient and reliable Convolutional Neural Networks. Microprocess. Microsystems 86: 104318 (2021) - [c163]Olivier Sentieys, Silviu-Ioan Filip, David Briand, David Novo, Etienne Dupuis, Ian O'Connor, Alberto Bosio:
AdequateDL: Approximating Deep Learning Accelerators. DDECS 2021: 37-40 - [c160]Alberto Bosio, Mayeul Cantan, Cédric Marchand, Ian O'Connor, Petr Fiser, Arnaud Poittevin, Marcello Traiola:
Emerging Technologies: Challenges and Opportunities for Logic Synthesis. DDECS 2021: 93-98 - [c158]Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jürgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels:
Emerging Computing Devices: Challenges and Opportunities for Test and Reliability*. ETS 2021: 1-10 - [c157]Marcello Traiola, Jorge Echavarria, Alberto Bosio, Jürgen Teich, Ian O'Connor:
Design Space Exploration of Approximation-Based Quadruple Modular Redundancy Circuits. ICCAD 2021: 1-9 - [i1]Etienne Dupuis, David Novo, Ian O'Connor, Alberto Bosio:
Fast Exploration of Weight Sharing Opportunities for CNN Compression. CoRR abs/2102.01345 (2021) - 2020
- [c150]Etienne Dupuis, David Novo, Ian O'Connor, Alberto Bosio:
On the Automatic Exploration of Weight Sharing for Deep Neural Network Compression. DATE 2020: 1319-1322 - [c149]Etienne Dupuis, David Novo, Ian O'Connor, Alberto Bosio:
Sensitivity Analysis and Compression Opportunities in DNNs Using Weight Sharing. DDECS 2020: 1-6 - [c143]Alberto Bosio, Ian O'Connor, Gennaro Severino Rodrigues, Fernanda Lima Lima, Said Hamdioui:
Exploiting Approximate Computing for implementing Low Cost Fault Tolerance Mechanisms. DTIS 2020: 1-2 - 2019
- [c138]Alberto Bosio, Ian O'Connor, Gennaro Severino Rodrigues, Fernanda Lima Kastensmidt, Elena I. Vatajelu, Giorgio Di Natale, Lorena Anghel, Surya Nagarajan, Moritz Fieback, Said Hamdioui:
Rebooting Computing: The Challenges for Test and Reliability. DFT 2019: 8138-8143
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