
- 論文誌
- [1] Y. Zhang, H. Itsuji, T. Uezono, T. Toba, and M. Hashimoto, "Vulnerability Estimation of DNN Model Parameters with Few Fault Injections," IEICE Trans. on Fundamentals of Electronics, Communications and Computer Sciences, volume E106-A, number 3, pages 523-531, March 2023. [pdf]
- 国際会議
- [1] M. Zhang and M. Hashimoto, "Squeezing 8-Bit Multiplier Energy with Input Segmentation in DNN Inference Accelerators," International collaboration Symposium on Information, Production and Systems (ISIPS), November 2024.
- [2] M. Zhang, Q. Cheng, H. Awano, L. Lin, and M. Hashimoto, "S3M: Static Semi-Segmented Multipliers for Energy-Efficient DNN Inference Accelerators," Proceedings of IEEE International Conference on Computer Design (ICCD), pages 16-23, October 2024. [pdf]
- [3] Y. Zhang, H. Itsuji, T. Uezono, T. Toba, and M. Hashimoto, "Estimating Vulnerability of All Model Parameters in DNN with a Small Number of Fault Injections," Proceedings of Design, Automation and Test in Europe Conference (DATE), pages 60-63, March 2022. [pdf]
- [4] T. Cheng and M. Hashimoto, "Minimizing Energy of DNN Training with Adaptive Bit-Width and Voltage Scaling," Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), May 2021. [pdf]
- 国内会議(査読付き)
- [1] Zhang Mingtao, Cheng Quan, 粟野 皓光, Lin Longyang, 橋本 昌宜, "Squeezing 8-Bit Multiplier Energy with Input Segmentation in DNN Inference Accelerators," 情報処理学会DAシンポジウム, 2024年.