GAROFALO, ANGELO
GAROFALO, ANGELO
DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Ricercatori a tempo determinato
22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing
2023 Conti, Francesco; Rossi, Davide; Paulin, Gianna; Garofalo, Angelo; Di Mauro, Alfio; Rutishauer, Georg; Ottavi, Gian marco; Eggimann, Manuel; Okuhara, Hayate; Huard, Vincent; Montfort, Olivier; Jure, Lionel; Exibard, Nils; Gouedo, Pascal; Louvat, Mathieu; Botte, Emmanuel; Benini, Luca
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
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference
2023 Le Gallo, Manuel; Khaddam-Aljameh, Riduan; Stanisavljevic, Milos; Vasilopoulos, Athanasios; Kersting, Benedikt; Dazzi, Martino; Karunaratne, Geethan; Brändli, Matthias; Singh, Abhairaj; Müller, Silvia M.; Büchel, Julian; Timoneda, Xavier; Joshi, Vinay; Rasch, Malte J.; Egger, Urs; Garofalo, Angelo; Petropoulos, Anastasios; Antonakopoulos, Theodore; Brew, Kevin; Choi, Samuel; Ok, Injo; Philip, Timothy; Chan, Victor; Silvestre, Claire; Ahsan, Ishtiaq; Saulnier, Nicole; Narayanan, Vijay; Francese, Pier Andrea; Eleftheriou, Evangelos; Sebastian, Abu
Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case
2023 Maicol Ciani; Stefano Bonato; Rafail Psiakis; Angelo Garofalo; Luca Valente; Suresh Sugumar; Alessandro Giusti; Davide Rossi; Daniele Palossi
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode
2023 Gianmarco Ottavi; Angelo Garofalo; Giuseppe Tagliavini; Francesco Conti; Alfio Di Mauro; Luca Benini; Davide Rossi
ECHOES: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays
2023 Mattia Sinigaglia; Luca Bertaccini; Luca Valente; Angelo Garofalo; Simone Benatti; Luca Benini; Francesco Conti; 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
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers
2023 Islamoglu, Gamze; Scherer, Moritz; Paulin, Gianna; Fischer, Tim; Jung, Victor J.B.; Garofalo, Angelo; Benini, Luca
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2???8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing
2023 Francesco Conti; Gianna Paulin; Angelo Garofalo; Davide Rossi; Alfio Di Mauro; Georg Rutishauser; Gianmarco Ottavi; Manuel Eggimann; Hayate Okuhara; Luca Benini
Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs
2023 Valente, L.; Veeran, A.; Sinigaglia, M.; Tortorella, Y.; Nadalini, A.; Wistoff, N.; Sá, B.; Garofalo, A.; Psiakis, R.; Tolba, M.; Kulmala, A.; Limaye, N.; Sinanoglu, O.; Pinto, S.; Palossi, D.; Benini, L.; Mohammad, B.; Rossi, D.
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks
2022 Garofalo, A; Ottavi, G; Conti, F; Karunaratne, G; Boybat, I; Benini, L; Rossi, D
A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics
2022 Montagna F.; Mach S.; Benatti S.; Garofalo A.; Ottavi G.; Benini L.; Rossi D.; Tagliavini G.
Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training
2022 Angelo Garofalo; Matteo Perotti; Luca Valente; Yvan Tortorella; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti
Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training
2022 Garofalo, Angelo; Tortorella, Yvan; Perotti, Matteo; Valente, Luca; Nadalini, Alessandro; Benini, Luca; Rossi, Davide; Conti, Francesco
A 1.15 TOPS/W, 16-Cores Parallel Ultra-Low Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode
2021 Garofalo A.; Ottavi G.; Di Mauro A.; Conti F.; Tagliavini G.; Benini L.; 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
Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs
2021 Montagna, Fabio; Tagliavini, Giuseppe; Rossi, Davide; Garofalo, Angelo; Benini, Luca
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes
2021 Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D.
A mixed-precision RISC-V processor for extreme-edge DNN inference
2020 Ottavi G.; Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D.
Enabling mixed-precision quantized neural networks in extreme-edge devices
2020 Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| 22.1 A 12.4TOPS/W @ 136GOPS AI-IoT System-on-Chip with 16 RISC-V, 2-to-8b Precision-Scalable DNN Acceleration and 30%-Boost Adaptive Body Biasing | Conti, Francesco; Rossi, Davide; Paulin, Gianna; Garofalo, Angelo; Di Mauro, Alfio; Rutishauer, G...eorg; Ottavi, Gian marco; Eggimann, Manuel; Okuhara, Hayate; Huard, Vincent; Montfort, Olivier; Jure, Lionel; Exibard, Nils; Gouedo, Pascal; Louvat, Mathieu; Botte, Emmanuel; Benini, Luca | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| 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 |
| A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference | Le Gallo, Manuel; Khaddam-Aljameh, Riduan; Stanisavljevic, Milos; Vasilopoulos, Athanasios; Kerst...ing, Benedikt; Dazzi, Martino; Karunaratne, Geethan; Brändli, Matthias; Singh, Abhairaj; Müller, Silvia M.; Büchel, Julian; Timoneda, Xavier; Joshi, Vinay; Rasch, Malte J.; Egger, Urs; Garofalo, Angelo; Petropoulos, Anastasios; Antonakopoulos, Theodore; Brew, Kevin; Choi, Samuel; Ok, Injo; Philip, Timothy; Chan, Victor; Silvestre, Claire; Ahsan, Ishtiaq; Saulnier, Nicole; Narayanan, Vijay; Francese, Pier Andrea; Eleftheriou, Evangelos; Sebastian, Abu | 2023-01-01 | NATURE ELECTRONICS | - | 1.01 Articolo in rivista | - |
| Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case | Maicol Ciani; Stefano Bonato; Rafail Psiakis; Angelo Garofalo; Luca Valente; Suresh Sugumar; Ales...sandro Giusti; Davide Rossi; Daniele Palossi | 2023-01-01 | IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS PROCEEDINGS | IEEE | 4.01 Contributo in Atti di convegno | cyber security ciani post print.pdf |
| Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode | Gianmarco Ottavi; Angelo Garofalo; Giuseppe Tagliavini; Francesco Conti; Alfio Di Mauro; Luca Ben...ini; Davide Rossi | 2023-01-01 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS | - | 1.01 Articolo in rivista | 2201.08656.pdf |
| ECHOES: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays | Mattia Sinigaglia; Luca Bertaccini; Luca Valente; Angelo Garofalo; Simone Benatti; Luca Benini; F...rancesco Conti; Davide Rossi | 2023-01-01 | IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS PROCEEDINGS | IEEE | 4.01 Contributo in Atti di convegno | - |
| 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 |
| ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers | Islamoglu, Gamze; Scherer, Moritz; Paulin, Gianna; Fischer, Tim; Jung, Victor J.B.; Garofalo, Ang...elo; Benini, Luca | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
| Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2???8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing | Francesco Conti; Gianna Paulin; Angelo Garofalo; Davide Rossi; Alfio Di Mauro; Georg Rutishauser;... Gianmarco Ottavi; Manuel Eggimann; Hayate Okuhara; Luca Benini | 2023-01-01 | IEEE JOURNAL OF SOLID-STATE CIRCUITS | - | 1.01 Articolo in rivista | Binder3.pdf |
| Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs | Valente, L.; Veeran, A.; Sinigaglia, M.; Tortorella, Y.; Nadalini, A.; Wistoff, N.; Sá, B.; Garof...alo, A.; Psiakis, R.; Tolba, M.; Kulmala, A.; Limaye, N.; Sinanoglu, O.; Pinto, S.; Palossi, D.; Benini, L.; Mohammad, B.; Rossi, D. | 2023-01-01 | - | - | 4.03 Poster | - |
| A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks | Garofalo, A; Ottavi, G; Conti, F; Karunaratne, G; Boybat, I; Benini, L; Rossi, D | 2022-01-01 | IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS | - | 1.01 Articolo in rivista | Heterogeneous In-Memory Computing_aam_.pdf |
| A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics | Montagna F.; Mach S.; Benatti S.; Garofalo A.; Ottavi G.; Benini L.; Rossi D.; Tagliavini G. | 2022-01-01 | IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS | - | 1.01 Articolo in rivista | Low-Power_Transprecision_Cluster_pp.pdf |
| Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training | Angelo Garofalo; Matteo Perotti; Luca Valente; Yvan Tortorella; Alessandro Nadalini; Luca Benini;... Davide Rossi; Francesco Conti | 2022-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training | Garofalo, Angelo; Tortorella, Yvan; Perotti, Matteo; Valente, Luca; Nadalini, Alessandro; Benini,... Luca; Rossi, Davide; Conti, Francesco | 2022-01-01 | IEEE OPEN JOURNAL OF SOLID-STATE CIRCUITS | - | 1.01 Articolo in rivista | Darkside_A_Heterogeneous_RISC-V_Compute_Cluster_for_Extreme-Edge_On-Chip_DNN_Inference_and_Training.pdf |
| A 1.15 TOPS/W, 16-Cores Parallel Ultra-Low Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode | Garofalo A.; Ottavi G.; Di Mauro A.; Conti F.; Tagliavini G.; Benini L.; Rossi D. | 2021-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | DUSTIN_REDUX.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 |
| Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs | Montagna, Fabio; Tagliavini, Giuseppe; Rossi, Davide; Garofalo, Angelo; Benini, Luca | 2021-01-01 | - | Springer | 4.01 Contributo in Atti di convegno | ARCS_2021_OMP_postprint.pdf |
| XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes | Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D. | 2021-01-01 | IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING | - | 1.01 Articolo in rivista | XpulpNN_journal_redux.pdf |
| A mixed-precision RISC-V processor for extreme-edge DNN inference | Ottavi G.; Garofalo A.; Tagliavini G.; Conti F.; Benini L.; Rossi D. | 2020-01-01 | - | IEEE Computer Society | 4.01 Contributo in Atti di convegno | ISVLSI_STATUS_BASED.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 |