Nathan C. P. Farinha

According to our database, Nathan C. P. Farinha authored at least 3 papers between 2017 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2019

AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed.

Hung-Yang Chang, Pritish Narayanan, Scott C. Lewis, Nathan C. P. Farinha, Kohji Hosokawa, Charles Mackin, Hsinyu Tsai, Stefano Ambrogio, An Chen, Geoffrey W. Burr

IBM J. Res. Dev., 2019

2018

Equivalent-accuracy accelerated neural-network training using analogue memory.

Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Robert M. Shelby, Irem Boybat, Carmelo di Nolfo, Severin Sidler, Massimo Giordano, Martina Bodini, Nathan C. P. Farinha, Benjamin Killeen, Christina Cheng, Yassine Jaoudi, Geoffrey W. Burr

Nat., 2018

2017

Improved Deep Neural Network Hardware-Accelerators Based on Non-Volatile-Memory: The Local Gains Technique.

Irem Boybat, Carmelo di Nolfo, Stefano Ambrogio, Martina Bodini, Nathan C. P. Farinha, Robert M. Shelby, Pritish Narayanan, Severin Sidler, Hsinyu Tsai, Yusuf Leblebici, Geoffrey W. Burr

Proceedings of the IEEE International Conference on Rebooting Computing, 2017