Kohji Hosokawa

According to our database, Kohji Hosokawa authored at least 17 papers between 1998 and 2023.

Collaborative distances:

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

2023

A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh.

Shubham Jain, Hsinyu Tsai, Ching-Tzu Chen, Ramachandran Muralidhar, Irem Boybat, Martin M. Frank, Stanislaw Wozniak, Milos Stanisavljevic, Praneet Adusumilli, Pritish Narayanan, Kohji Hosokawa, Masatoshi Ishii, Arvind Kumar, Vijay Narayanan, Geoffrey W. Burr

IEEE Trans. Very Large Scale Integr. Syst., 2023

An analog-AI chip for energy-efficient speech recognition and transcription.

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

Nat., 2023

Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited).

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

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS.

Ankur Agrawal, Monodeep Kar, Kyu-Hyoun Kim, Sergey V. Rylov, Jinwook Jung, Seiji Munetoh, Kohji Hosokawa, Xin Zhang, Bahman Hekmatshoartabari, Fabio Carta, Martin Cochet, Robert Casatuta, Mingu Kang, Sunil Shukla, Kailash Gopalakrishnan, Leland Chang

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

Architectures 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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine.

Uicheol Shin, Masatoshi Ishii, Atsuya Okazaki, Megumi Ito, Malte J. Rasch, Wanki Kim, Akiyo Nomura, Wonseok Choi, Dooyong Koh, Kohji Hosokawa, Matthew BrightSky, Seiji Munetoh, SangBum Kim

Adv. Intell. Syst., 2022

Analog-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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method.

Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, SangBum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch

Neural Process. Lett., 2021

Circuit 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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

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

Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation.

Megumi Ito, Malte J. Rasch, Masatoshi Ishii, Atsuya Okazaki, SangBum Kim, Junka Okazawa, Akiyo Nomura, Kohji Hosokawa, Wilfried Haensch

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model.

Masatoshi Ishii, Megumi Ito, Wanki Kim, SangBum Kim, Akiyo Nomura, Atsuya Okazaki, Junka Okazawa, Kohji Hosokawa, Matthew BrightSky, Wilfried Haensch

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

NVM Weight Variation Impact on Analog Spiking Neural Network Chip.

Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, SangBum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory.

Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Kohji Hosokawa, Scott C. Lewis, Robert M. Shelby, Geoffrey W. Burr

IBM J. Res. Dev., 2017

Neuromorphic devices and architectures for next-generation cognitive computing.

Geoffrey W. Burr, Pritish Narayanan, Robert M. Shelby, Stefano Ambrogio, Hsinyu Tsai, Scott L. Lewis, Kohji Hosokawa

Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

2003

A low power CMOS circuit with Variable Souce Scheme (VSCMOS).

Takeo Yasuda, Kohji Hosokawa

Proceedings of the 2003 Asia and South Pacific Design Automation Conference, 2003

1998

A 220-mm², four- and eight-bank, 256-Mb SDRAM with single-sided stitched WL architecture.

Toshiaki Kirihata, Martin Gall, Kohji Hosokawa, Jean-Marc Dortu, Hing Wong, Peter Pfefferl, Brian L. Ji, Oliver Weinfurtner, John K. DeBrosse, Hartmud Terletzki, Manfred Selz, Wayne Ellis, Matthew R. Wordeman, Oliver Kiehl

IEEE J. Solid State Circuits, 1998