Andrea Fasoli - RankMe

17 papers A 2C 4Journal 6Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Is Finer Better? The Limits of Microscaling Formats in Large Language Models. CoRR Andrea Fasoli, Monodeep Kar, Chi-Chun (Charlie) Liu, Swagath Venkataramani, Viji Srinivasan, Leland Chang, Naigang Wang
2025	—	`conf`	Analog-AI Hardware Accelerators for Low-Latency Transformer-Based Language Models (Invited). CICC Geoffrey W. Burr, H. Tsai, Irem Boybat, William Andrew Simon, Julian Büchel, Athanasios Vasilopoulos, Pritish Narayanan, Andrea Fasoli, Kohji Hosokawa, Manuel Le Gallo, M. Ishii, Yasuteru Kohda, Atsuya Okazaki, A. Chen, Charles Mackin, Elena Ferro, Kaoutar El Maghraoui, Hadjer Benmeziane, T. Philicelli, Corey Lammie, Alexander M. Friz, Jose Luquin, S. Jain, Abu Sebastian, V. Narayanan
2023	J	`jnl`	An analog-AI chip for energy-efficient speech recognition and transcription. Nat. Stefano Ambrogio, Pritish Narayanan, Atsuya Okazaki, Andrea Fasoli, Charles Mackin, Kohji Hosokawa, Akiyo Nomura, Takeo Yasuda, An Chen, Alexander M. Friz, Masatoshi Ishii, Jose Luquin, Yasuteru Kohda, Nicole Saulnier, Kevin Brew, Samuel Choi, Injo Ok, Timothy Philip, Victor Chan, Mary Claire Silvestre, Ishtiaq Ahsan, Vijay Narayanan, Hsinyu Tsai, Geoffrey W. Burr
2023	C	`conf`	Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited). ISCAS Hsinyu Tsai, Pritish Narayanan, Shubham Jain, Stefano Ambrogio, Kohji Hosokawa, Masatoshi Ishii, Charles Mackin, Ching-Tzu Chen, Atsuya Okazaki, Akiyo Nomura, Irem Boybat, Ramachandran Muralidhar, Martin M. Frank, Takeo Yasuda, Alexander M. Friz, Yasuteru Kohda, An Chen, Andrea Fasoli, Malte J. Rasch, Stanislaw Wozniak, Jose Luquin, Vijay Narayanan, Geoffrey W. Burr
2023	J	`jnl`	Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators. CoRR Malte J. Rasch, Charles Mackin, Manuel Le Gallo, An Chen, Andrea Fasoli, Frédéric Odermatt, Ning Li, S. R. Nandakumar, Pritish Narayanan, Hsinyu Tsai, Geoffrey W. Burr, Abu Sebastian, Vijay Narayanan
2023	—	`conf`	Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited). VLSI Technology and Circuits Geoffrey W. Burr, Pritish Narayanan, Stefano Ambrogio, Atsuya Okazaki, Hsinyu Tsai, Kohji Hosokawa, Charles Mackin, Akiyo Nomura, Takeo Yasuda, J. Demarest, Kevin Brew, Victor Chan, Samuel Choi, T. Gordon, T. M. Levin, Alexander M. Friz, Masatoshi Ishii, Yasuteru Kohda, An Chen, Andrea Fasoli, Jose Luquin, Nicole Saulnier, S. Teehan, Ishtiaq Ahsan, Vijay Narayanan
2022	A	`conf`	Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. INTERSPEECH Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan
2022	J	`jnl`	Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. CoRR Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan
2022	C	`conf`	Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers. ISCAS Atsuya Okazaki, Pritish Narayanan, Stefano Ambrogio, Kohji Hosokawa, Hsinyu Tsai, Akiyo Nomura, Takeo Yasuda, Charles Mackin, Alexander M. Friz, Masatoshi Ishii, Yasuteru Kohda, Katie Spoon, An Chen, Andrea Fasoli, Malte J. Rasch, Geoffrey W. Burr
2021	A	`conf`	4-Bit Quantization of LSTM-Based Speech Recognition Models. Interspeech Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
2021	J	`jnl`	4-bit Quantization of LSTM-based Speech Recognition Models. CoRR Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
2021	C	`conf`	Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited). ISCAS Kohji Hosokawa, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, Charles Mackin, Andrea Fasoli, Alexander M. Friz, An Chen, Jose Luquin, Katherine Spoon, Geoffrey W. Burr, Scott C. Lewis
2021	J	`jnl`	Toward Software-Equivalent Accuracy on Transformer-Based Deep Neural Networks With Analog Memory Devices. Frontiers Comput. Neurosci. Katie Spoon, Hsinyu Tsai, An Chen, Malte J. Rasch, Stefano Ambrogio, Charles Mackin, Andrea Fasoli, Alexander M. Friz, Pritish Narayanan, Milos Stanisavljevic, Geoffrey W. Burr
2020	—	`conf`	Accelerating Deep Neural Networks with Analog Memory Devices. AICAS Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, An Chen, Andrea Fasoli, Alexander M. Friz, Geoffrey W. Burr
2020	—	`conf`	Neuromorphic Computing with Phase Change, Device Reliability, and Variability Challenges. IRPS Charles Mackin, Pritish Narayanan, Stefano Ambrogio, Hsinyu Tsai, Katie Spoon, Andrea Fasoli, An Chen, Alexander M. Friz, Robert M. Shelby, Geoffrey W. Burr
2020	C	`conf`	Optimization of Analog Accelerators for Deep Neural Networks Inference. ISCAS Andrea Fasoli, Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, Alexander M. Friz, An Chen, Geoffrey W. Burr
2019	—	`conf`	Sputtering of Metal Oxide Semiconductor n-p Stacks. ISOEN Andrea Fasoli, L. Thornquist, K. Lionti, Linda K. Sundberg, L. Bozano