Tag Archives: ACM

DAC2020: paper accepted

The following paper has been accepted for presentation in Design Automation Conference 2020. The paper presentation from our group in the DAC conference is five years in a row. Akira Dan, Riu Shimizu, Takeshi Nishikawa, Song Bian and Takashi Sato, … Continue reading

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ASPDAC2020

A master course student, Yuki Kume, made a presentation in ASPDAC2020 held at China National Convention Center, Beijing, China. Echo State Network (ESN), which is a kind of recurrent neural network (RNN), has recently attracted many attentions. The weights of … Continue reading

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A paper accepted for presentation in ASPDAC2020

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DAC2019

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DATE2019

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Our paper has been accepted for presentation in DAC2019 Las Vegas!

The following paper has been accepted for presentation in DAC2019(ACM/IEEE Design Automation Conference 2019) (acceptance rate 24.8%=202/815). Conguratulations!! Song Bian, Masayuki Hiromoto, and Takashi Sato, “Filianore: Better multiplier architectures for LWE-based post-quantum key exchange,” in Proc. ACM/IEEE Design Automation Conference … Continue reading

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Paper presented in ASPDAC2019

A Ph.D student, Song gave an oral presentation in Asia and South Pacific Design Automation Conference (ASP-DAC) 2019 held at the National Musium of Science and Art during Jan. 21-24, 2019. (The presentation was on Jan. 25th.) His presentation is … Continue reading

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ICCAD2018

Gyoten proposed a new processor architecture at ICCAD 2018. Gyoten’s talk was about a processor utilizing the Ising model for solving combinatorial optimization problems. The Ising model is a mathematical model for analyzing ferromagnetism. Its application as an optimization problem … Continue reading

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Paper accepted for presentation in DATE2019

The following paper has been accepted for presentation in ASP-DAC2019 (24th Asia and South Pacific Design Automation Conference).(acceptance ratio 35%=102/292). Song Bian, Masayuki Hiromoto, and Takashi Sato: “Towards Practical Homomorphic Email Filtering: A Hardware-Accelerated Secure Naive Bayesian Filter,” in Proc. … Continue reading

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Paper accepted for presentation in ASP-DAC2019

The following paper has been accepted for presentation in ASP-DAC2019 (24th Asia and South Pacific Design Automation Conference).(acceptance ratio 35%=102/292). Song Bian, Masayuki Hiromoto, and Takashi Sato: “Towards Practical Homomorphic Email Filtering: A Hardware-Accelerated Secure Naive Bayesian Filter,” in Proc. … Continue reading

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