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論文誌

[1] Q. Cheng, M. Huang, C. Man, A. Shen, L. Dai, H. Yu, and M. Hashimoto, "Reliability Exploration of System-On-Chip with Multi-Bit-Width Accelerator for Multi-Precision Deep Neural Networks," IEEE Transactions on Circuits and Systems I: Regular Papers, volume 70, number 10, 3978 -- 3991, October 2023. [pdf]

[2] Q. Cheng, L. Dai, M. Huang, A. Shen, W. Mao, M. Hashimoto, and H. Yu, "A Low-Power Sparse Convolutional Neural Network Accelerator with Pre-Encoding Radix-4 Booth Multiplier," IEEE Transactions on Circuits and Systems II, volume 70, number 6, 2246 - 2250, June 2023. [pdf]

[3] M. Hashimoto, X. Bai, N. Banno, M. Tada, T. Sakamoto, J. Yu, R. Doi, H. Onodera, T. Imagawa, H. Ochi, K. Wakabayashi, Y. Mitsuyama, and T. Sugibayashi, "Via-Switch FPGA with Transistor-Free Programmability Enabling Energy-Efficient Near-Memory Parallel Computation," Japanese Journal of Applied Physics, volume 61, number SM0804, October 2022. [pdf]

[4] H. Ochi, K. Yamaguchi, T. Fujimoto, J. Hotate, T. Kishimoto, T. Higashi, T. Imagawa, R. Doi, M. Tada, T. Sugibayashi, W. Takahashi, K. Wakabayashi, H. Onodera, Y. Mitsuyama, J. Yu, and M. Hashimoto, "Via-Switch FPGA: Highly-Dense Mixed-Grained Reconfigurable Architecture with Overlay Via-Switch Crossbars," IEEE Transactions on VLSI Systems, volume 26, number 12, pages 2723--2736, December 2018. [pdf]

国際会議

[1] Q. Cheng, Qiufeng Li, W. Dong, M. Zhang, R. Zhang, M. Huang, H. Yu, Y. Shi, H. Awano, T. Sato, L. Lin, and M. Hashimoto, "A 22nm Resource-Frugal Hyper-Heterogeneous Multi-Modal System-On-Chip Towards In-Orbit Computing," Proceedings of IEEE Custom Integrated Circuits Conference (CICC), April 2025. [pdf]

[2] Q. Cheng, W. Liao, R. Zhang, H. Yu, L. Lin, and M. Hashimoto, "HachiFI: a Lightweight SoC Architecture-Independent Fault-Injection Framework for SEU Impact Evaluation," Proceedings of Design, Automation and Test in Europe Conference (DATE), March 2025. [pdf]

[3] Q Cheng, L. Lin, M. Huang, Q. Li, Z. Yang, L. Dai, H. Yu, Y-J. Chen, Y. Shi, and M. Hashimoto, "A 13-34 TOPS/W Edge-AI Processor Featuring Booth-Value-Confined Accelerator, Near-Memory Computing, and Contiguity-Aware Mapping," Technical Digest of Asian Solid-State Circuits Conference (A-SSCC), October 2024. [pdf]

[4] Q. Cheng, Q. Li, L. Lin, W. Liao, L. Dai, H. Yu, and M. Hashimoto, "How Accurately Can Soft Error Impact Be Estimated in Black-Box/White-Box Cases? -- a Case Study with an Edge AI SoC --," Proceedings of Design Automation Conference (DAC), June 2024. [pdf]

[5] T. Imagawa, J. Yu, M. Hashimoto, and H. Ochi, "MUX Granularity-Oriented Iterative Technology Mapping for Implementing Compute-Intensive Applications on Via-Switch FPGA," Proceedings of Design, Automation and Test in Europe Conference (DATE), February 2021. [pdf]

[6] M. Hashimoto, X. Bai, N. Banno, M. Tada, T. Sakamoto, J. Yu, R. Doi, Y. Araki, H. Onodera, T. Imagawa, H. Ochi, K. Wakabayashi, Y. Mitsuyama, and T. Sugibayashi, "Via-Switch FPGA: 65nm CMOS Implementation and Architecture Extension for AI Applications," Technical Digest of International Solid-State Circuits Conference (ISSCC), pages 502--503, February 2020. [pdf]