Kyushu University Academic Staff Educational and Research Activities Database
List of Presentations
Satoshi Kawakami Last modified date:2024.03.01

Associate Professor / Department of Electronics / Faculty of Information Science and Electrical Engineering


Presentations
1. Satoshi Kawakami, Hybrid Optoelectronic Computer System Architecture Exploration, International Symposium on Photonic Computing, 2024.03.
2. Satoshi Kawakami, Next-Generation Computer System Architecture with Emerging Devices: Challenges and Opportunities, Yonsei University, 2023.12.
3. Satoshi Kawakami, Takatsugu Ono and Vargas Danilo Vasconcellos, Architecture Exploration for Opt-Electrical Computing System, International Symposium on Photonic Computing, 2024.03.
4. Kuan Yi Ng, Takeshi Nanri, Teruo Tanimoto, Satoshi Kawakami and Koji Inoue, Analyzing Carbon Footprint Implications of Hardware Replacement: Preliminary Evaluation Targeting CPUs in Supercomputer Systems, 情報処理学会研究報告, 2023.11.
5. Makoto Naruse, Michihiro Koibuchi, Satoshi Kawakami, Atsushi Uchida, Tetsuya Kawanishi, Satoshi Sunada and Akifumi Kasamatsu, Photonic Computing Highlighting Ultimate Nature of Light, Neuromorphic Natural and Physical Computing: Interdisciplinary Foundations (NNPC), 2023.10.
6. Takumi Inaba, Takatsugu Ono, Koji Inoue and Satoshi Kawakami, Evaluating floating-point multipliers with opto-electrical hybrid circuits, ACM International Conference on Computing Frontiers (CF), 2023.05.
7. Masamitsu Tanaka, Ikki Nagaoka, Satoshi Kawakami, Teruo Tanimoto, Takatugu Ono, Koji Inoue, Akira Fujimaki, Demonstration of a Superconductor 8-Bit Microprocessor Based on High-Throughput Single-Flux-Quantum Logic Circuits, The East Asia Symposium on Superconductor Electronics (EASSE), 2023.03.
8. Masamitsu Tanaka, Ikki Nagaoka, Satoshi Kawakami, Teruo Tanimoto, Takatugu Ono, Koji Inou, Akira Fujimaki , High-Throughput Single-Flux-Quantum Circuits Based on Gate- Level-Pipelining toward Artificial Intelligence Applications, The Superconducting SFQ VLSI Workshop, 2022.11.
9. Aalaa M.A. Babai, Kuan Yi Ng, Teruo Tanimoto, Satoshi Kawakami, Koji Inoue,, Non-Volatile FPGA-based Intermittent Computing and Its Performance Analysis, 情報処理学会研究報告, 2022.07.
10. Satoshi Kawakami, Towards noise-driven computing, The Superconducting SFQ VLSI Workshop, 2021.10.
11. Koji Inoue, Satoshi Kawakami, Towards Ultra-Efficient Nanophotonic AI Acceleration ~ from a computer architecture perspective ~, Optical Fiber Communication Conference, 2021.06.
12. Koki Ishida, Masamitsu Tanaka, Ikki Nagaoka, Takatsugu Ono, Satoshi Kawakami, Teruo Tanimoto, Akira Fujimaki and Koji Inoue, Prototype Design of 32 GHz Microprocessor based on Superconducting Single-Flux-Quantum Logic, The International Conference for High Performance Computing, 2019.11.
13. Satoshi Kawakami, Performance Analysis for Approximate Optical Computing - Computer Architecture Perspective -, The International Workshop of Optical Packet Switching (OPS) and Optical Code Division Multiple Access (OCDMA), 2019.10.
14. Satoshi Kawakami, Nanophotonic Neural Network Accelerator: Challenges and Opportunities , Asia Pacific Society for Computing and Information Technology, 2019.06.
15. Satoshi Kawakami, Akihito Iwanaga, Inoue Koji, Many-core acceleration for model predictive control systems, 1st International Workshop on Many-Core Embedded Systems, MES 2013, in Conjunction with the 40th Annual IEEE/ACM International Symposium on Computer Architecture, ISCA 2013, 2013.06, This paper proposes a novel many-core execution strategy for real-time model predictive controls. The key idea is to exploit predicted input values, which are produced by the model predictive control itself, to speculatively solve an op- timal control problem. It is well known that control appli- cations are not suitable for multi- or many-core processors, because feedback-loop systems inherently stand on sequen- tial operations. Since the proposed scheme does not rely on conventional thread-/data-level parallelism, it can be easily applied to such control systems. An analytical evaluation using a real application demonstrates the potential of per- formance improvement achieved by the proposed speculative executions..