[1] Davide Pala, Ivan Miro-Panades, and Olivier Sentieys. Freezer: A specialized nvm backup controller for intermittently-powered systems. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 40(8):1559--1572, 2021. [ bib | DOI | http ]
[2] Lei Mo, Angeliki Kritikakou, Olivier Sentieys, and Xianghui Cao. Real-time imprecise computation tasks mapping for dvfs-enabled networked systems. IEEE Internet of Things Journal, 8(10):8246--8258, 2021. [ bib | DOI | http ]
[3] Olivier Sentieys, Silviu-Ioan Filip, David Briand, David Novo, Etienne Dupuis, Ian O'Connor, and Alberto Bosio. Adequatedl: Approximating deep learning accelerators. In DDECS 2021 - 24th International Symposium on Design and Diagnostics of Electronic Circuits and Systems, pages 37--40. IEEE, 2021. [ bib | DOI | http ]
[4] Van-Phu Ha and Olivier Sentieys. Leveraging bayesian optimization to speed up automatic precision tuning. In 24th IEEE/ACM Design, Automation and Test in Europe (DATE), pages 1--6, February 2021. [ bib | http ]
[5] Olivier Sentieys. An optimization playground for precision and number representation tuning. In Report from Dagstuhl Seminar 21302 - Approximate Systems, July 2021. [ bib | http ]
[6] Olivier Sentieys. Approximate deep learning accelerators: Improving performance and energy efficiency of deep-learning hardware accelerators with controlled arithmetic approximations. In CSW 2021 - HiPEAC Computing Systems Week, October 2021. [ bib | http ]
[7] Mariko Tatsumi, Yuxiang Xie, Caroline White, Silviu-Ioan Filip, Olivier Sentieys, and Guy Lemieux. Mptorch and mparchimedes: Open source frameworks to explore custom mixed- precision operations for dnn training on edge devices. In ROAD4NN 2021 - 2nd ROAD4NN Workshop: Research Open Automatic Design for Neural Networks, December 2021. [ bib | http ]

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