Giuseppe Maria Sarda

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Parameter Tuning

Bayesian Inference

Operating Point

Top Venues

Publications

Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. CoRR (2024)
Iman Dadras, Giuseppe Maria Sarda, Nathan Laubeuf, Debjyoti Bhattacharjee, Arindam Mallik
AIMC Modeling and Parameter Tuning for Layer-Wise Optimal Operating Point in DNN Inference. IEEE Access 11 (2023)
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. ISLPED (2023)
Josse Van Delm, Maarten Vandersteegen, Alessio Burrello, Giuseppe Maria Sarda, Francesco Conti, Daniele Jahier Pagliari, Luca Benini, Marian Verhelst
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms. DAC (2023)
Pouya Houshmand, Giuseppe Maria Sarda, Vikram Jain, Kodai Ueyoshi, Ioannis A. Papistas, Man Shi, Qilin Zheng, Debjyoti Bhattacharjee, Arindam Mallik, Peter Debacker, Diederik Verkest, Marian Verhelst
DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge. IEEE J. Solid State Circuits 58 (1) (2023)
Giuseppe Maria Sarda, Nimish Shah, Debjyoti Bhattacharjee, Peter Debacker, Marian Verhelst
Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis. IISWC (2023)
Matteo Risso, Alessio Burrello, Giuseppe Maria Sarda, Luca Benini, Enrico Macii, Massimo Poncino, Marian Verhelst, Daniele Jahier Pagliari
Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference. CoRR (2023)
Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. CoRR (2022)
Muhammad Abdullah Hanif, Giuseppe Maria Sarda, Alberto Marchisio, Guido Masera, Maurizio Martina, Muhammad Shafique
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks. IJCNN (2022)