Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

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. Analog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers. In IEEE International Symposium on Circuits and Systems, ISCAS 2022, Austin, TX, USA, May 27 - June 1, 2022. pages 3319-3323, IEEE, 2022. [doi]

This author has not been identified. Look up 'Atsuya Okazaki' in GoogleThis author has not been identified. Look up 'Pritish Narayanan' in GoogleThis author has not been identified. Look up 'Stefano Ambrogio' in GoogleThis author has not been identified. Look up 'Kohji Hosokawa' in GoogleThis author has not been identified. Look up 'Hsinyu Tsai' in GoogleThis author has not been identified. Look up 'Akiyo Nomura' in GoogleThis author has not been identified. Look up 'Takeo Yasuda' in GoogleThis author has not been identified. Look up 'Charles Mackin' in GoogleThis author has not been identified. Look up 'Alexander M. Friz' in GoogleThis author has not been identified. Look up 'Masatoshi Ishii' in GoogleThis author has not been identified. Look up 'Yasuteru Kohda' in GoogleThis author has not been identified. Look up 'Katie Spoon' in GoogleThis author has not been identified. Look up 'An Chen' in GoogleThis author has not been identified. Look up 'Andrea Fasoli' in GoogleThis author has not been identified. Look up 'Malte J. Rasch' in GoogleThis author has not been identified. Look up 'Geoffrey W. Burr' in Google

runs on WebDSL