| DIANA: An end-to-end energy-efficient digital and ANAlog hybrid neural network SoC K Ueyoshi, IA Papistas, P Houshmand, GM Sarda, V Jain, M Shi, Q Zheng, ... 2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 1-3, 2022 | 59 | 2022 |
| Diana: An end-to-end hybrid digital and analog neural network soc for the edge P Houshmand, GM Sarda, V Jain, K Ueyoshi, IA Papistas, M Shi, Q Zheng, ... IEEE Journal of Solid-State Circuits 58 (1), 203-215, 2022 | 41 | 2022 |
| HTVM: Efficient neural network deployment on heterogeneous TinyML platforms J Van Delm, M Vandersteegen, A Burrello, GM Sarda, F Conti, DJ Pagliari, ... 2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023 | 4 | 2023 |
| CoNLoCNN: Exploiting correlation and non-uniform quantization for energy-efficient low-precision deep convolutional neural networks MA Hanif, GM Sarda, A Marchisio, G Masera, M Martina, M Shafique 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 3 | 2022 |
| Precision-aware latency and energy balancing on multi-accelerator platforms for dnn inference M Risso, A Burrello, GM Sarda, L Benini, E Macii, M Poncino, M Verhelst, ... 2023 IEEE/ACM International Symposium on Low Power Electronics and Design …, 2023 | 2 | 2023 |
| Optimising GPGPU Execution Through Runtime Micro-Architecture Parameter Analysis GM Sarda, N Shah, D Bhattacharjee, P Debacker, M Verhelst 2023 IEEE International Symposium on Workload Characterization (IISWC), 226-228, 2023 | | 2023 |
| AIMC Modeling and Parameter Tuning for Layer-Wise Optimal Operating Point in DNN Inference I Dadras, GM Sarda, N Laubeuf, D Bhattacharjee, A Mallik IEEE Access, 2023 | | 2023 |
| Towards the next generation Heterogeneous Multi-core Multi-accelerator Architectures for Machine Learning V Jain, G Sarda, P Houshmand, M Verhelst Spring 2022 RISC-V Week, Location: Paris, France, 2022 | | 2022 |
| Approximating Deep Convolutional Neural Networks through Bit-level Masking of Network Parameters GM Sarda Politecnico di Torino, 2020 | | 2020 |
