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Satoshi Kawakami
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- affiliation: Kyushu University, Fukuoka, Japan
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2020 – today
- 2024
- [j4]Matthew Guthaus, Kwantae Kim, Francisco A. Brito-Filho, Satoshi Kawakami, Boris Murmann:
Open-Source Silicon - Unleashing Innovation and Collaboration. IEEE Des. Test 41(6): 5-7 (2024) - [c13]Satoshi Kawakami, Yusuke Ohtusbo, Koji Inoue, Masamitsu Tanaka:
Late Breaking Results: Single Flux Quantum Based Brownian Circuits for Ultra-Law-Power Computing. DATE 2024: 1-2 - 2023
- [j3]KuanYi Ng, Aalaa M. A. Babai, Teruo Tanimoto, Satoshi Kawakami, Koji Inoue:
Empirical Power-performance Analysis of Layer-wise CNN Inference on Single Board Computers. J. Inf. Process. 31: 478-494 (2023) - [c12]Takumi Inaba, Takatsugu Ono, Koji Inoue, Satoshi Kawakami:
Evaluating floating-point multipliers with opto-electrical hybrid circuits. CF 2023: 219 - [c11]Keisuke Takano, Takeaki Yajima, Satoshi Kawakami:
Design of The Ultra-Low-Power Driven VMM Configurations for μW Scale IoT Devices. MCSoC 2023: 65-72 - 2022
- [c10]Iori Ishikawa, Ikki Nagaoka, Ryota Kashima, Koki Ishida, Kosuke Fukumitsu, Keitaro Oka, Masamitsu Tanaka, Satoshi Kawakami, Teruo Tanimoto, Takatsugu Ono, Akira Fujimaki, Koji Inoue:
Design of Variable Bit-Width Arithmetic Unit Using Single Flux Quantum Device. ISCAS 2022: 3547-3551 - [c9]Takumi Inaba, Takatsugu Ono, Koji Inoue, Satoshi Kawakami:
A Hybrid Opto-Electrical Floating-point Multiplier. MCSoC 2022: 313-320 - [c8]Eito Sato, Koji Inoue, Satoshi Kawakami:
Design and Analysis of a Nano-photonic Processing Unit for Low-Latency Recurrent Neural Network Applications. MCSoC 2022: 321-329 - [c7]Satoshi Matsushita, Teruo Tanimoto, Satoshi Kawakami, Takatsugu Ono, Koji Inoue:
An Edge Autonomous Lamp Control with Camera Feedback. WF-IoT 2022: 1-7 - 2021
- [j2]Koki Ishida, Ilkwon Byun, Ikki Nagaoka, Kosuke Fukumitsu, Masamitsu Tanaka, Satoshi Kawakami, Teruo Tanimoto, Takatsugu Ono, Jangwoo Kim, Koji Inoue:
Superconductor Computing for Neural Networks. IEEE Micro 41(3): 19-26 (2021) - 2020
- [c6]Keitaro Oka, Satoshi Kawakami, Teruo Tanimoto, Takatsugu Ono, Koji Inoue:
Enhancing a manycore-oriented compressed cache for GPGPU. HPC Asia 2020: 22-31 - [c5]Teruo Tanimoto, Shuhei Matsuo, Satoshi Kawakami, Yutaka Tabuchi, Masao Hirokawa, Koji Inoue:
How Many Trials Do We Need for Reliable NISQ Computing? ISVLSI 2020: 288-290 - [c4]Teruo Tanimoto, Shuhei Matsuo, Satoshi Kawakami, Yutaka Tabuchi, Masao Hirokawa, Koji Inoue:
Practical Error Modeling Toward Realistic NISQ Simulation. ISVLSI 2020: 291-293 - [c3]Koki Ishida, Ilkwon Byun, Ikki Nagaoka, Kosuke Fukumitsu, Masamitsu Tanaka, Satoshi Kawakami, Teruo Tanimoto, Takatsugu Ono, Jangwoo Kim, Koji Inoue:
SuperNPU: An Extremely Fast Neural Processing Unit Using Superconducting Logic Devices. MICRO 2020: 58-72 - [c2]Koki Ishida, Masamitsu Tanaka, Ikki Nagaoka, Takatsugu Ono, Satoshi Kawakami, Teruo Tanimoto, Akira Fujimaki, Koji Inoue:
32 GHz 6.5 mW Gate-Level-Pipelined 4-Bit Processor using Superconductor Single-Flux-Quantum Logic. VLSI Circuits 2020: 1-2
2010 – 2019
- 2018
- [j1]Satoshi Kawakami, Takatsugu Ono, Toshiyuki Ohtsuka, Koji Inoue:
Parallel Precomputation with Input Value Prediction for Model Predictive Control Systems. IEICE Trans. Inf. Syst. 101-D(12): 2864-2877 (2018) - 2013
- [c1]Satoshi Kawakami, Akihito Iwanaga, Koji Inoue:
Many-core acceleration for model predictive control systems. MES 2013: 17-24
Coauthor Index
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