DAC2024

The following two talks were given at the ACM/IEEE Design Automation Conference (DAC) 2024, a top conference on integrated circuit design, held in San Francisco, USA, July 23-27, 2024 (presentation dates: July 25 (Koike) and 26 (Hashimoto)).

  • T. Koike, H. Awano, and T. Sato, “Triplet network-based DNA encoding for enhanced similarity image retrieval,” in Proc. ACM/IEEE Design Automation Conference (DAC), pp.1-6, July 2024.
  • 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 –,” in Proc. ACM/IEEE Design Automation Conference (DAC), pp.1-6, July 2024.

HOST2024

A research paper on PUF was presented at the IEEE International Symposium on Hardware Oriented Security and Trust (HOST) 2024 in Washington, DC, USA, May 6-9, 2024 (presentation date: May 9, 2024).

  • C. Zhenzhe, T. Sato, and H. Shinohara, “SpongePUF: A modeling attack resilient strong PUF with scalable challenge response pair,” in Proc. IEEE International Symposium on Hardware Oriented Security and Trust (HOST), pp.244-253, May 2024.

Papers accepted at RADECS 2024

The following papers have been accepted for the European Conference on Radiation and Its Effects on Components and Systems (RADECS) 2024, scheduled to be held in Canary Islands, Spain, in September 2024:

Y. Gomi, K. Takami, R. Mizuno, M. Niikura, R. Yasuda, Y. Deng, S. Kawase, Y. Watanabe, S. Abe, W. Liao, M. Tampo, S. Takeshita, K. Shimomura, Y. Miyake, and M. Hashimoto, “Muon-Induced SEU Analysis and Simulation for Different Cell Types in 12-nm FinFET SRAMs,” Proceedings of European Conference on Radiation and Its Effects on Components and Systems (RADECS), (accepted, to appear).
K. Takami, Y. Gomi, R. Yasuda, S. Abe, M. Itoh, H. Kanda, M. Fukuda, and M. Hashimoto, “Validating Terrestrial SER in 12- and 28-nm SRAMs Estimated by Simulation Coupled with One-Time Neutron Irradiation,” Proceedings of European Conference on Radiation and Its Effects on Components and Systems (RADECS), (accepted, to appear).
K. Takeuchi, K. Sakamoto, Y. Tsuchiya, T. Kato, R. Nakamura, A. Takeyama, T. Makino, T. Ohshima, M. Hashimoto, and H. Shindo, “Cross-Section Prediction Method for Proton Direct Ionization Induced Single Event Upset,” Proceedings of European Conference on Radiation and Its Effects on Components and Systems (RADECS), (accepted, to appear).

DATE 2024

M1 student Koike and faculty member Sato presented the following research at the Design, Automation and Test in Europe Conference (DATE) 2024 held in Valencia, Spain, on March 25-27, 2024 (presentation dates: March 25 and 27, respectively) Dr. Hashimoto served as a panelist at the Focus session “Resilience of Deep Learning Applications: Where We Are and Where We Want to Go” (March 27th).

  • Takefumi Koike, Hiromitsu Awano, and Takashi Sato, “DNA-based similar image retrieval via triplet network-driven encoder,” in Proc. Design, Automation and Test in Europe (DATE), pp.1-2, March 2024.
  • Sosei Ikeda, Hiromitsu Awano, and Takashi Sato, “Fast parameter optimization of delayed feedback reservoir with backpropagation and gradient descent,” in Proc. Design, Automation and Test in Europe (DATE), pp.1-6, March 2024.

(日本語) ICMTS2024採録決定

The following paper has been accepted for presentation at the IEEE International Conference on Microelectronic Test Structures (ICMTS), to be held in Edinburgh, Scotland, UK, in April 2024. This work is the result of joint research with Kyoto Institute of Technology.

  • Michihiro Shintani, Tetsuro Iwasaki, and Takashi Sato, “Gaussian process-based device model toward a unified current model across room to cryogenic temperatures,” in Proc. IEEE International Conference on Microelectronic Test Structures (ICMTS), April 2024. (to appear)

Papers accepted for DAC2024

The following papers have been accepted to Design Automation Conference (DAC), to be held in San Francisco, CA, in July 2024.

  • Takefumi Koike, Hiromitsu Awano, and Takashi Sato, “Triplet network-based DNA encoding for enhanced similarity image retrieval,” in Proc. ACM/IEEE Design Automation Conference (DAC), July 2024, to appear. (regular paper acceptance ratio: 23%)
  • Quan Cheng, Qiufeng Li, Longyang Lin, Wang Liao, Liuyao Dai, Hao Yu and Masanori Hashimoto, “How accurately can soft error impact be estimated in black-box/white-box cases? — a case study with an edge AI SoC –, July 2024, to appear. (regular paper acceptance ratio: 23%)

ASPDAC2024

The following members delivered presentations of their research results at the Asia and South Pacific Design Automation Conference (ASP-DAC 2024) held in Inchon, Korea, from January 22 to 25, 2024.

  • Kunihiro Oshima, Kazunori Kuribara, and Takashi Sato, “Design of aging-robust clonable PUF using organic thin-film transistors and insulator-based ReRAM,” in Proc. ACM/IEEE Asia and South Pacific Design Automation Conference (ASPDAC), pp.165-170, January 2024.
  • Kotaro Matsuoka, Song Bian, and Takashi Sato, “HOGE: Homomorphic gates on a chip,” in Proc. ACM/IEEE Asia and South Pacific Design Automation Conference (ASPDAC), pp.325-332, January 2024.
  • Kohei Suemitsu, Kotaro Matsuoka, Takashi Sato, and Masanori Hashimoto, “Logic locking over TFHE for securing user data and algorithms,” in Proc. ACM/IEEE Asia and South Pacific Design Automation Conference (ASPDAC), pp.600-605, January 2024.

Also, the tutorial entitled “Toward Robust Neural Network Computation on Emerging Crossbar-based Hardware and Digital Systems” was given by Prof. Masanori Hashimoto with Prof. Yiyu Shi (University of Notre Dame).


 

SASIMI2024: paper accepted

The following paper has been accepted for the poster presentation for the 25th Workshop on Synthesis And System Integration of Mixed Information Technologies (SASIMI2024) to be held in Taipei, Taiwan, from March 10 to March 11, 2024.

  • Takefumi Koike and Takashi Sato, “Enhancing visual similarities in DNA-based similar image retrieval,” in Proc. Workshop on synthesis and system integration of mixed information technologies (SASIMI), March 2024. (to appear)
  • Daisuke Goeda, Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki, Takashi Sato, and Michihiro Shintani, “Experimental study of pass/fail threshold determination based on Gaussian process regression,” in Proc. Workshop on synthesis and system integration of mixed information technologies (SASIMI), March 2024. (to appear)