Angelo Garofalo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 44

Top Topics

Instruction Set

Ultra Low Power

Top Venues

Publications

Chaoqun Liang, Alessandro Ottaviano, Thomas Benz, Mattia Sinigaglia, Luca Benini, Angelo Garofalo, Davide Rossi
A Gigabit, DMA-enhanced Open-Source Ethernet Controller for Mixed-Criticality Systems. CoRR (2024)
Francesco Conti, Gianna Paulin, Angelo Garofalo, Davide Rossi, Alfio Di Mauro, Georg Rutishauser, Gianmarco Ottavi, Manuel Eggimann, Hayate Okuhara, Luca Benini
Marsellus: A Heterogeneous RISC-V AI-IoT End-Node SoC With 2-8 b DNN Acceleration and 30%-Boost Adaptive Body Biasing. IEEE J. Solid State Circuits 59 (1) (2024)
Thomas Benz, Alessandro Ottaviano, Robert Balas, Angelo Garofalo, Francesco Restuccia, Alessandro Biondi, Luca Benini
AXI-REALM: A Lightweight and Modular Interconnect Extension for Traffic Regulation and Monitoring of Heterogeneous Real-Time SoCs. DATE (2024)
Michael Rogenmoser, Alessandro Ottaviano, Thomas Benz, Robert Balas, Matteo Perotti, Angelo Garofalo, Luca Benini
SentryCore: A RISC-V Co-Processor System for Safe, Real-Time Control Applications. CoRR (2024)
Chaoqun Liang, Alessandro Ottaviano, Thomas Benz, Mattia Sinigaglia, Luca Benini, Angelo Garofalo, Davide Rossi
A Gigabit, DMA-enhanced Open-Source Ethernet Controller for Mixed-Criticality Systems. CF (Companion) (2024)
Maicol Ciani, Emanuele Parisi, Alberto Musa, Francesco Barchi, Andrea Bartolini, Ari Kulmala, Rafail Psiakis, Angelo Garofalo, Andrea Acquaviva, Davide Rossi
Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading. CoRR (2024)
Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. ISLPED (2023)
Angelo Garofalo, Yvan Tortorella, Matteo Perotti, Luca Valente, Alessandro Nadalini, Luca Benini, Davide Rossi, Francesco Conti
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training. CoRR (2023)
Gamze Islamoglu, Moritz Scherer, Gianna Paulin, Tim Fischer, Victor J. B. Jung, Angelo Garofalo, Luca Benini
ITA: An Energy-Efficient Attention and Softmax Accelerator for Quantized Transformers. CoRR (2023)
Maicol Ciani, Stefano Bonato, Rafail Psiakis, Angelo Garofalo, Luca Valente, Suresh Sugumar, Alessandro Giusti, Davide Rossi, Daniele Palossi
Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case. ISCAS (2023)
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Alfio Di Mauro, Luca Benini, Davide Rossi
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (6) (2023)
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. CoRR (2023)
Thomas Benz, Alessandro Ottaviano, Robert Balas, Angelo Garofalo, Francesco Restuccia, Alessandro Biondi, Luca Benini
AXI-REALM: A Lightweight and Modular Interconnect Extension for Traffic Regulation and Monitoring of Heterogeneous Real-Time SoCs. CoRR (2023)
Mattia Sinigaglia, Luca Bertaccini, Luca Valente, Angelo Garofalo, Simone Benatti, Luca Benini, Francesco Conti, Davide Rossi
S DSP for Flexible Data Acquisition from Microphone Arrays. ISCAS (2023)
Cristina Silvano, Daniele Ielmini, Fabrizio Ferrandi, Leandro Fiorin, Serena Curzel, Luca Benini, Francesco Conti, Angelo Garofalo, Cristian Zambelli, Enrico Calore, Sebastiano Fabio Schifano, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Stefania Perri, Nicola Petra, Davide De Caro, Luciano Lavagno, Teodoro Urso, Valeria Cardellini, Gian Carlo Cardarilli, Robert Birke
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms. CoRR (2023)
Maicol Ciani, Stefano Bonato, Rafail Psiakis, Angelo Garofalo, Luca Valente, Suresh Sugumar, Alessandro Giusti, Davide Rossi, Daniele Palossi
Cyber Security aboard Micro Aerial Vehicles: An OpenTitan-based Visual Communication Use Case. CoRR (2023)
Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture. DATE (2023)
Luca Valente, A. Veeran, Mattia Sinigaglia, Yvan Tortorella, Alessandro Nadalini, Nils Wistoff, Bruno Sá, Angelo Garofalo, Rafail Psiakis, M. Tolba, Ari Kulmala, Nimisha Limaye, Ozgur Sinanoglu, Sandro Pinto, Daniele Palossi, Luca Benini, Baker Mohammad, Davide Rossi
Shaheen: An Open, Secure, and Scalable RV64 SoC for Autonomous Nano-UAVs. HCS (2023)
Alessandro Nadalini, Georg Rutishauser, Alessio Burrello, Nazareno Bruschi, Angelo Garofalo, Luca Benini, Francesco Conti, Davide Rossi
A 3 TOPS/W RISC-V Parallel Cluster for Inference of Fine-Grain Mixed-Precision Quantized Neural Networks. ISVLSI (2023)
Mattia Sinigaglia, Luca Bertaccini, Luca Valente, Angelo Garofalo, Simone Benatti, Luca Benini, Francesco Conti, Davide Rossi
Echoes: a 200 GOPS/W Frequency Domain SoC with FFT Processor and I2S DSP for Flexible Data Acquisition from Microphone Arrays. CoRR (2023)
Fabio Montagna, Stefan Mach, Simone Benatti, Angelo Garofalo, Gianmarco Ottavi, Luca Benini, Davide Rossi, Giuseppe Tagliavini
A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics. IEEE Trans. Parallel Distributed Syst. 33 (5) (2022)
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
A Heterogeneous In-Memory Computing Cluster For Flexible End-to-End Inference of Real-World Deep Neural Networks. CoRR (2022)
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Alfio Di Mauro, Luca Benini, Davide Rossi
Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster with 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode. CoRR (2022)
Angelo Garofalo, Gianmarco Ottavi, Francesco Conti, Geethan Karunaratne, Irem Boybat, Luca Benini, Davide Rossi
A Heterogeneous In-Memory Computing Cluster for Flexible End-to-End Inference of Real-World Deep Neural Networks. IEEE J. Emerg. Sel. Topics Circuits Syst. 12 (2) (2022)
Nazareno Bruschi, Giuseppe Tagliavini, Angelo Garofalo, Francesco Conti, Irem Boybat, Luca Benini, Davide Rossi
End-to-End DNN Inference on a Massively Parallel Analog In Memory Computing Architecture. CoRR (2022)
Angelo Garofalo, Matteo Perotti, Luca Valente, Yvan Tortorella, Alessandro Nadalini, Luca Benini, Davide Rossi, Francesco Conti
Darkside: 2.6GFLOPS, 8.7mW Heterogeneous RISC-V Cluster for Extreme-Edge On-Chip DNN Inference and Training. ESSCIRC (2022)
Manuel Le Gallo, Riduan Khaddam-Aljameh, Milos Stanisavljevic, Athanasios Vasilopoulos, Benedikt Kersting, Martino Dazzi, Geethan Karunaratne, Matthias Braendli, Abhairaj Singh, Silvia M. Mueller, Julian Büchel, Xavier Timoneda Comas, Vinay Joshi, Urs Egger, Angelo Garofalo, Anastasios Petropoulos, Theodore Antonakopoulos, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Nicole Saulnier, Vijay Narayanan, Pier Andrea Francese, Evangelos Eleftheriou, Abu Sebastian
A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. CoRR (2022)
Fabio Montagna, Giuseppe Tagliavini, Davide Rossi, Angelo Garofalo, Luca Benini
Streamlining the OpenMP Programming Model on Ultra-Low-Power Multi-core MCUs. ARCS (2021)
Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. IEEE Trans. Computers 70 (8) (2021)
Angelo Garofalo, Gianmarco Ottavi, Alfio Di Mauro, Francesco Conti, Giuseppe Tagliavini, Luca Benini, Davide Rossi
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. ESSCIRC (2021)
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V Based IoT End Nodes. IEEE Trans. Emerg. Top. Comput. 9 (3) (2021)
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Networks on RISC-V based IoT End Nodes. ARITH (2021)
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Davide Rossi, Luca Benini
XpulpNN: Accelerating Quantized Neural Networks on RISC-V Processors Through ISA Extensions. DATE (2020)
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
A Mixed-Precision RISC-V Processor for Extreme-Edge DNN Inference. ISVLSI (2020)
Alessio Burrello, Angelo Garofalo, Nazareno Bruschi, Giuseppe Tagliavini, Davide Rossi, Francesco Conti
DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs. CoRR (2020)
Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi
Enabling Mixed-Precision Quantized Neural Networks in Extreme-Edge Devices. CoRR (2020)
Fabio Montagna, Stefan Mach, Simone Benatti, Angelo Garofalo, Gianmarco Ottavi, Luca Benini, Davide Rossi, Giuseppe Tagliavini
A transprecision floating-point cluster for efficient near-sensor data analytics. CoRR (2020)
Gianmarco Ottavi, Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
A Mixed-Precision RISC-V Processor for Extreme-Edge DNN Inference. CoRR (2020)
Angelo Garofalo, Giuseppe Tagliavini, Francesco Conti, Luca Benini, Davide Rossi
XpulpNN: Enabling Energy Efficient and Flexible Inference of Quantized Neural Network on RISC-V based IoT End Nodes. CoRR (2020)
Nazareno Bruschi, Angelo Garofalo, Francesco Conti, Giuseppe Tagliavini, Davide Rossi
Enabling mixed-precision quantized neural networks in extreme-edge devices. CF (2020)
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini
PULP-NN: A Computing Library for Quantized Neural Network inference at the edge on RISC-V Based Parallel Ultra Low Power Clusters. ICECS (2019)
Alessio Burrello, Francesco Conti, Angelo Garofalo, Davide Rossi, Luca Benini
DORY: Lightweight memory hierarchy management for deep NN inference on IoT endnodes: work-in-progress. CODES+ISSS (2019)
Angelo Garofalo, Manuele Rusci, Francesco Conti, Davide Rossi, Luca Benini
PULP-NN: Accelerating Quantized Neural Networks on Parallel Ultra-Low-Power RISC-V Processors. CoRR (2019)
Annachiara Ruospo, Riccardo Cantoro, Ernesto Sánchez, Pasquale Davide Schiavone, Angelo Garofalo, Luca Benini
On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification. DFT (2019)