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Alexander M. Friz

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

4

Venues

1

Active years

2020–2023

Best venue rank

C

Where they publish

Papers

4 indexed papers, newest first.

YearVenueTitleAuthors
2023ISCASArchitectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited).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
2022ISCASAnalog-memory-based 14nm Hardware Accelerator for Dense Deep Neural Networks including Transformers.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
2021ISCASCircuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited).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
2020ISCASOptimization of Analog Accelerators for Deep Neural Networks Inference.Andrea Fasoli, Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, Alexander M. Friz, An Chen, Geoffrey W. Burr