Presentation 2021-11-19
FPGA Architecture for Reservoir Computing with time-division input interfaces and online learning systems
Kose Yoshida, Yuki Abe, Megumi Akai-Kasaya, Tetsuya Asai,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper we present an FPGA architecture for reservoir computing using a ring-type reservoir with time-division I/O and FORCE learning, an online learning algorithm. For the reservoir, the number of inputs and outputs and the number of arithmetic units for the activation function are greatly reduced by using the time-division multiplexing method to make the architecture smaller. In addition, the FORCE learning algorithm was adopted for the learning part to enable online and lightweight learning. Through these considerations, we have achieved a lightweight architecture as a whole, and have been able to implement 400-node reservoir computing from input to output on a single FPGA.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) reservoirs computing / FPGA
Paper # CCS2021-29
Date of Issue 2021-11-11 (CCS)

Conference Information
Committee CCS
Conference Date 2021/11/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Osaka Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Tetsuya Asai(Hokkaido Univ.)
Vice Chair Megumi Akai(Hokkaido Univ.) / Masaki Aida(TMU)
Secretary Megumi Akai(TDK) / Masaki Aida(Mie Univ.)
Assistant Hidehiro Nakano(Tokyo City Univ.) / Hiroyasu Ando(Tsukuba Univ.) / Takashi Matsubara(Osaka Univ.) / Sumiko Miyata(Shibaura Inst. of Tech.)

Paper Information
Registration To Technical Committee on Complex Communication Sciences
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) FPGA Architecture for Reservoir Computing with time-division input interfaces and online learning systems
Sub Title (in English)
Keyword(1) reservoirs computing
Keyword(2) FPGA
1st Author's Name Kose Yoshida
1st Author's Affiliation Hokkaido University(Hokkaido Univ.)
2nd Author's Name Yuki Abe
2nd Author's Affiliation Hokkaido University(Hokkaido Univ.)
3rd Author's Name Megumi Akai-Kasaya
3rd Author's Affiliation Hokkaido University/Osaka University(Hokkaido Univ./Osaka Univ.)
4th Author's Name Tetsuya Asai
4th Author's Affiliation Hokkaido University(Hokkaido Univ.)
Date 2021-11-19
Paper # CCS2021-29
Volume (vol) vol.121
Number (no) CCS-253
Page pp.pp.67-72(CCS),
#Pages 6
Date of Issue 2021-11-11 (CCS)