Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Fumihiko Tachibana"'
Autor:
Fumihiko Tachibana, Huy Cu Ngo, Go Urakawa, Takashi Toi, Mitsuyuki Ashida, Yuta Tsubouchi, Mai Nozawa, Junji Wadatsumi, Hiroyuki Kobayashi, Jun Deguchi
Publikováno v:
ESSCIRC 2022- IEEE 48th European Solid State Circuits Conference (ESSCIRC).
Autor:
Daisuke Miyashita, Fumihiko Tachibana, Tomoya Suzuki, Shinichi Sasaki, Ryuichi Fujimoto, Kengo Nakata, Jun Deguchi, Asuka Maki
Publikováno v:
IEICE Transactions on Electronics. :514-523
Autor:
Asuka Maki, Daisuke Miyashita, Ryuichi Fujimoto, Fumihiko Tachibana, Kengo Nakata, Jun Deguchi, Shinichi Sasaki
Publikováno v:
AICAS
Quantization is an effective technique to reduce memory and computational costs for inference of convolutional neural networks (CNNs). However, it has not been clarified which model can achieve higher recognition accuracy with lower memory and comput
Autor:
Daisuke Miyashita, Yuji Satoh, Takashi Toi, Junji Wadatsumi, Makoto Morimoto, Jun Deguchi, Ryuichi Fujimoto, Yuta Tsubouchi, Fumihiko Tachibana
Publikováno v:
IEEE Journal of Solid-State Circuits. 54:1086-1095
Toward the aim of realizing high-bandwidth, large-capacity nand flash memory-based storage systems, this paper presents a novel daisy-chain downlink interface (I/F) between a controller and a large number of nand packages. The daisy-chain I/F employs
Publikováno v:
2019 IEEE International Electron Devices Meeting (IEDM).
A lot of energy-efficient accelerators for inference has been reported. Our investigation result on dependence of energy efficiency on bit precision of accelerators shows that energy efficiency of in-memory/analog accelerators looks better than that
Publikováno v:
ISCAS
To enhance the efficiency for inference of deep convolutional neural network without noticeable degradation of the recognition accuracy, we have proposed a filter-wise optimized quantization with variable bit precision. In addition, we have proposed
Publikováno v:
A-SSCC
Many efforts have been made to improve the efficiency for inference of deep convolutional neural network. To achieve further improvement of the efficiency without penalty of accuracy, we propose filter-wise optimized quantization with variable precis
Autor:
Jun Deguchi, Takashi Toi, Daisuke Miyashita, Yuta Tsubouchi, Makoto Morimoto, Yuji Satoh, Junii Wadatsumi, Fumihiko Tachibana
Publikováno v:
VLSI Circuits
This paper proposes a prototype downlink I/F employing a tapered-BW daisy-chained topology enabled by a proposed SCM2 technique to exploit the low throughput of NAND I/O, which allows a NAND controller to handle 32 NAND PKGs on a single I/F channel.
Autor:
Yuki Fujimura, Keiichi Kushida, Y. Takeyama, Fumihiko Tachibana, Tomoaki Yabe, Osamu Hirabayashi, A. Suzuki, Atsushi Kawasumi, Yusuke Niki
Publikováno v:
IEEE Journal of Solid-State Circuits. 46:2545-2551
A digitized replica bitline delay technique has been proposed for random-variation-tolerant timing generation of static random access memory (SRAM) sense amplifiers (SA). The timing variation of SA attributable to the random variation of transistor t
Autor:
Y. Takeyama, Shinichi Sasaki, Miyako Shizuno, Yusuke Niki, Fumihiko Tachibana, Atsushi Kawasumi, Keiichi Kushida, A. Suzuki, Yasuo Unekawa, Osamu Hirabayashi, Tomoaki Yabe
Publikováno v:
ISSCC
This paper presents SRAM circuit techniques to reduce both active and standby mode power especially at room temperature (RT) where actual power consumption is dominant. A bit line power calculator is used to adaptively set the cell supply voltage (VC