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DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes: work-in-progress.

A. Burrello, F. Conti, A. Garofalo, D. Rossi, and L. Benini. CODES+ISSS, page 17:1-17:2. ACM, (2019)

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Alessio Langiu

Alessio Meneghetti

Alessio Guerri

Alessio Quaglino

Alessio Vascon

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Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring.A. Moallemi, A. Burrello, D. Brunelli, and L. Benini. IEEE Internet Things J., 9 (18): 17660-17674 (2022)Enhancing Neural Architecture Search with Multiple Hardware Constraints for Deep Learning Model Deployment on Tiny IoT Devices.A. Burrello, M. Risso, B. Motetti, E. Macii, L. Benini, and D. Pagliari. CoRR, (2023)Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks.F. Daghero, A. Burrello, C. Xie, M. Castellano, L. Gandolfi, A. Calimera, E. Macii, M. Poncino, and D. Pagliari. CoRR, (2022)Predicting Hard Disk Failures in Data Centers Using Temporal Convolutional Neural Networks.A. Burrello, D. Pagliari, A. Bartolini, L. Benini, E. Macii, and M. Poncino. Euro-Par Workshops, volume 12480 of Lecture Notes in Computer Science, page 277-289. Springer, (2020)Ultra-compact binary neural networks for human activity recognition on RISC-V processors.F. Daghero, C. Xie, D. Pagliari, A. Burrello, M. Castellano, L. Gandolfi, A. Calimera, E. Macii, and M. Poncino. CF, page 3-11. ACM, (2021)HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms.J. Delm, M. Vandersteegen, A. Burrello, G. Sarda, F. Conti, D. Pagliari, L. Benini, and M. Verhelst. DAC, page 1-6. IEEE, (2023)HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays.M. Risso, C. Xie, F. Daghero, A. Burrello, S. Mollaei, M. Castellano, E. Macii, M. Poncino, and D. Pagliari. DATE, page 1-6. IEEE, (2024)Joint Pruning and Channel-wise Mixed-Precision Quantization for Efficient Deep Neural Networks.B. Motetti, M. Risso, A. Burrello, E. Macii, M. Poncino, and D. Pagliari. CoRR, (2024)Prediction of Thermal Hazards in a Real Datacenter Room Using Temporal Convolutional Networks.M. Ardebili, M. Zanghieri, A. Burrello, F. Beneventi, A. Acquaviva, L. Benini, and A. Bartolini. DATE, page 1256-1259. IEEE, (2021)Improving PPG-based Heart-Rate Monitoring with Synthetically Generated Data.A. Burrello, D. Pagliari, M. Bianco, E. Macii, L. Benini, M. Poncino, and S. Benatti. BioCAS, page 153-157. IEEE, (2022)

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Disambiguation of "Burrello, Alessio"

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DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes: work-in-progress.

Please choose a person to relate this publication to

Alessio Langiu

Alessio Meneghetti

Alessio Guerri

Alessio Quaglino

Alessio Vascon

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Burrello, Alessio"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes: work-in-progress.

Please choose a person to relate this publication to

Alessio Langiu

Alessio Meneghetti

Alessio Guerri

Alessio Quaglino

Alessio Vascon

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes: work-in-progress.