BRUSCHI, NAZARENO
BRUSCHI, NAZARENO
Dottorandi
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks
2023 Nadalini, A; Rutishauser, G; Burrello, A; Bruschi, N; Garofalo, A; Benini, L; Conti, F; Rossi, D
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs
2021 Burrello, Alessio; Garofalo, Angelo; Bruschi, Nazareno; Tagliavini, Giuseppe; Rossi, Davide; Conti, Francesco
Enabling mixed-precision quantized neural networks in extreme-edge devices
2020 Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture
2023 Bruschi, Nazareno; Tagliavini, Giuseppe; Garofalo, Angelo; Conti, Francesco; Boybat, Irem; Benini, Luca; Rossi, Davide
GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors
2021 Bruschi, Nazareno; Haugou, Germain; Tagliavini, Giuseppe; Conti, Francesco; Benini, Luca; Rossi, Davide
PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge
2023 Jain, Vikram; Cavalcante, Matheus; Bruschi, Nazareno; Rogenmoser, Michael; Benz, Thomas; Kurth, Andreas; Rossi, Davide; Benini, Luca; Verhelst, Marian
Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference
2022 Bruschi N.; Tagliavini G.; Conti F.; Abadal S.; Cabellos-Aparicio A.; Alarcon E.; Karunaratne G.; Boybat I.; Benini L.; Rossi D.
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks | Nadalini, A; Rutishauser, G; Burrello, A; Bruschi, N; Garofalo, A; Benini, L; Conti, F; Rossi, D | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | a 3 tops w risc post print .pdf |
| DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs | Burrello, Alessio; Garofalo, Angelo; Bruschi, Nazareno; Tagliavini, Giuseppe; Rossi, Davide; Cont...i, Francesco | 2021-01-01 | IEEE TRANSACTIONS ON COMPUTERS | - | 1.01 Articolo in rivista | 2008.0127pp.pdf |
| Enabling mixed-precision quantized neural networks in extreme-edge devices | Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi | 2020-01-01 | - | Association for Computing Machinery, Inc | 4.01 Contributo in Atti di convegno | Enabling_Mixed_Precision_Quantized_Neural_Networks_in_Extreme_Edge_Devices.pdf |
| End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture | Bruschi, Nazareno; Tagliavini, Giuseppe; Garofalo, Angelo; Conti, Francesco; Boybat, Irem; Benini..., Luca; Rossi, Davide | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | IMA_RESNET_DATE_postprint.pdf |
| GVSoC: A Highly Configurable, Fast and Accurate Full-Platform Simulator for RISC-V based IoT Processors | Bruschi, Nazareno; Haugou, Germain; Tagliavini, Giuseppe; Conti, Francesco; Benini, Luca; Rossi, ...Davide | 2021-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | GVSOC_ICCD_2021_redux.pdf |
| PATRONoC: Parallel AXI Transport Reducing Overhead for Networks-on-Chip targeting Multi-Accelerator DNN Platforms at the Edge | Jain, Vikram; Cavalcante, Matheus; Bruschi, Nazareno; Rogenmoser, Michael; Benz, Thomas; Kurth, A...ndreas; Rossi, Davide; Benini, Luca; Verhelst, Marian | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
| Scale up your In-Memory Accelerator: Leveraging Wireless-on-Chip Communication for AIMC-based CNN Inference | Bruschi N.; Tagliavini G.; Conti F.; Abadal S.; Cabellos-Aparicio A.; Alarcon E.; Karunaratne G.;... Boybat I.; Benini L.; Rossi D. | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | iris_aicas_2022.pdf |