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ORCIDKohji Hosokawa
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2020 – today
- 2023
[j7]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:
An analog-AI chip for energy-efficient speech recognition and transcription. Nat. 620(7975): 768-775 (2023)- [j6]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:
A Heterogeneous and Programmable Compute-In-Memory Accelerator Architecture for Analog-AI Using Dense 2-D Mesh. IEEE Trans. Very Large Scale Integr. Syst. 31(1): 114-127 (2023) - [c10]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:
Architectures and Circuits for Analog-memory-based Hardware Accelerators for Deep Neural Networks (Invited). ISCAS 2023: 1-5 - [c9]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:
A Switched-Capacitor Integer Compute Unit with Decoupled Storage and Arithmetic for Cloud AI Inference in 5nm CMOS. VLSI Technology and Circuits 2023: 1-2 - [c8]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:
Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited). VLSI Technology and Circuits 2023: 1-2 - 2022
- [j5]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:
Pattern Training, Inference, and Regeneration Demonstration Using On-Chip Trainable Neuromorphic Chips for Spiking Restricted Boltzmann Machine. Adv. Intell. Syst. 4(8) (2022) - [c7]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. ISCAS 2022: 3319-3323 - 2021
- [j4]Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, SangBum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch:
Analysis of Effect of Weight Variation on SNN Chip with PCM-Refresh Method. Neural Process. Lett. 53(3): 1741-1751 (2021) - [c6]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:
Circuit Techniques for Efficient Acceleration of Deep Neural Network Inference with Analog-AI (Invited). ISCAS 2021: 1-5
2010 – 2019
- 2019
- [j3]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:
AI hardware acceleration with analog memory: Microarchitectures for low energy at high speed. IBM J. Res. Dev. 63(6): 8:1-8:14 (2019) - [c5]Megumi Ito, Malte J. Rasch, Masatoshi Ishii, Atsuya Okazaki, SangBum Kim, Junka Okazawa, Akiyo Nomura, Kohji Hosokawa, Wilfried Haensch:
Training Large-Scale Spiking Neural Networks on Multi-core Neuromorphic System Using Backpropagation. ICONIP (3) 2019: 185-194 - [c4]Masatoshi Ishii, Megumi Ito, Wanki Kim, SangBum Kim, Akiyo Nomura, Atsuya Okazaki, Junka Okazawa, Kohji Hosokawa, Matthew BrightSky, Wilfried Haensch:
Performance Analysis of Spiking RBM with Measurement-Based Phase Change Memory Model. ICONIP (5) 2019: 591-599 - 2018
- [c3]Akiyo Nomura, Megumi Ito, Atsuya Okazaki, Masatoshi Ishii, SangBum Kim, Junka Okazawa, Kohji Hosokawa, Wilfried Haensch:
NVM Weight Variation Impact on Analog Spiking Neural Network Chip. ICONIP (7) 2018: 676-685 - 2017
- [j2]Pritish Narayanan, Alessandro Fumarola, Lucas L. Sanches, Kohji Hosokawa, Scott C. Lewis, Robert M. Shelby, Geoffrey W. Burr:
Toward on-chip acceleration of the backpropagation algorithm using nonvolatile memory. IBM J. Res. Dev. 61(4-5): 11:1-11:11 (2017) - [c2]Geoffrey W. Burr, Pritish Narayanan, Robert M. Shelby, Stefano Ambrogio, Hsinyu Tsai, Scott L. Lewis, Kohji Hosokawa:
Neuromorphic devices and architectures for next-generation cognitive computing. ISCAS 2017: 1-4
2000 – 2009
- 2003
- [c1]Takeo Yasuda, Kohji Hosokawa:
A low power CMOS circuit with Variable Souce Scheme (VSCMOS). ASP-DAC 2003: 404-407
1990 – 1999
- 1998
- [j1]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:
A 220-mm2, four- and eight-bank, 256-Mb SDRAM with single-sided stitched WL architecture. IEEE J. Solid State Circuits 33(11): 1711-1719 (1998)
Coauthor Index
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