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.. |