Many-core acceleration for model predictive control systems. - Satoshi Kawakami; Akihito Iwanaga; Koji Inoue (MES, 2013)

Parallel Precomputation with Input Value Prediction for Model Predictive Control Systems. - Satoshi Kawakami; Takatsugu Ono; Toshiyuki Ohtsuka; Koji Inoue (IEICE Trans. Inf. Syst., 2018)

Enhancing a manycore-oriented compressed cache for GPGPU. - Keitaro Oka; Satoshi Kawakami; Teruo Tanimoto; Takatsugu Ono; Koji Inoue (HPC Asia, 2020)

How Many Trials Do We Need for Reliable NISQ Computing? - Teruo Tanimoto; Shuhei Matsuo; Satoshi Kawakami; Yutaka Tabuchi; Masao Hirokawa; Koji Inoue (ISVLSI, 2020)

Practical Error Modeling Toward Realistic NISQ Simulation. - Teruo Tanimoto; Shuhei Matsuo; Satoshi Kawakami; Yutaka Tabuchi; Masao Hirokawa; Koji Inoue (ISVLSI, 2020)

SuperNPU: An Extremely Fast Neural Processing Unit Using Superconducting Logic Devices. - Koki Ishida; Ilkwon Byun; Ikki Nagaoka; Kosuke Fukumitsu; Masamitsu Tanaka; Satoshi Kawakami; Teruo Tanimoto; Takatsugu Ono; Jangwoo Kim; Koji Inoue (MICRO, 2020)

32 GHz 6.5 mW Gate-Level-Pipelined 4-Bit Processor using Superconductor Single-Flux-Quantum Logic. - Koki Ishida; Masamitsu Tanaka; Ikki Nagaoka; Takatsugu Ono; Satoshi Kawakami; Teruo Tanimoto; Akira Fujimaki; Koji Inoue (VLSI Circuits, 2020)

Superconductor Computing for Neural Networks. - Koki Ishida; Ilkwon Byun; Ikki Nagaoka; Kosuke Fukumitsu; Masamitsu Tanaka; Satoshi Kawakami; Teruo Tanimoto; Takatsugu Ono; Jangwoo Kim; Koji Inoue (IEEE Micro, 2021)

Design of Variable Bit-Width Arithmetic Unit Using Single Flux Quantum Device. - Iori Ishikawa; Ikki Nagaoka; Ryota Kashima; Koki Ishida; Kosuke Fukumitsu; Keitaro Oka; Masamitsu Tanaka; Satoshi Kawakami; Teruo Tanimoto; Takatsugu Ono; Akira Fujimaki; Koji Inoue (ISCAS, 2022)

A Hybrid Opto-Electrical Floating-point Multiplier. - Takumi Inaba; Takatsugu Ono; Koji Inoue; Satoshi Kawakami (MCSoC, 2022)

Design and Analysis of a Nano-photonic Processing Unit for Low-Latency Recurrent Neural Network Applications. - Eito Sato; Koji Inoue; Satoshi Kawakami (MCSoC, 2022)

An Edge Autonomous Lamp Control with Camera Feedback. - Satoshi Matsushita; Teruo Tanimoto; Satoshi Kawakami; Takatsugu Ono; Koji Inoue (WF-IoT, 2022)

Evaluating floating-point multipliers with opto-electrical hybrid circuits. - Takumi Inaba; Takatsugu Ono; Koji Inoue; Satoshi Kawakami (CF, 2023)

Design of The Ultra-Low-Power Driven VMM Configurations for μW Scale IoT Devices. - Keisuke Takano; Takeaki Yajima; Satoshi Kawakami (MCSoC, 2023)

Empirical Power-performance Analysis of Layer-wise CNN Inference on Single Board Computers. - KuanYi Ng; Aalaa M. A. Babai; Teruo Tanimoto; Satoshi Kawakami; Koji Inoue (J. Inf. Process., 2023)

Late Breaking Results: Single Flux Quantum Based Brownian Circuits for Ultra-Law-Power Computing. - Satoshi Kawakami; Yusuke Ohtusbo; Koji Inoue; Masamitsu Tanaka (DATE, 2024)

SecONN: An Optical Neural Network Framework with Concurrent Detection of Thermal Fault Injection Attacks. - Kota Nishida; Yoshihiro Midoh; Noriyuki Miura; Satoshi Kawakami; Jun Shiomi (CoRR, 2024)

Open-Source Silicon - Unleashing Innovation and Collaboration. - Matthew Guthaus; Kwantae Kim; Francisco A. Brito-Filho; Satoshi Kawakami; Boris Murmann (IEEE Des. Test, 2024)

Data-Pattern-Driven LUT for Efficient In-Cache Computing in CNNs Acceleration. - Zhengpan Fei; Mingchuan Lyu; Satoshi Kawakami; Koji Inoue (IEEE Comput. Archit. Lett., 2025)

Approximate SFQ-Based Computing Architecture Modeling With Device-Level Guidelines. - Pratiksha Mundhe; Yuta Hano; Satoshi Kawakami; Teruo Tanimoto; Masamitsu Tanaka; Koji Inoue; Ilkwon Byun (IEEE Comput. Archit. Lett., 2025)

Design and Implementation of Opto-Electrical Hybrid Floating-Point Multipliers. - Takumi Inaba; Takatsugu Ono; Koji Inoue; Satoshi Kawakami (IEICE Trans. Inf. Syst., 2025)