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Paper Abstract and Keywords
Presentation 2023-08-08 13:25
Design of a superconducting stochastic memory for large-scale stochastic-computing system
Wenhui Luo (Yokohama Nat’l Univ.), Naoki Takeuchi (AIST), Olivia Chen (Tokyo City Univ.), Nobuyuki Yoshikawa (Yokohama Nat’l Univ.) SCE2023-7
Abstract (in Japanese) (See Japanese page) 
(in English) Stochastic computing-based neural networks (SC-NNs) have been developed for energy-efficient neuromorphic computing. In SC, a stochastic number generator (SNG) is used to convert a binary input into a corresponding stochastic bit stream, namely a stochastic number (SN). In general, an SNG comprises a digital comparator and random number generator (RNG), which requires a relatively large hardware overhead and becomes unsuitable for large-scale SC systems. In the present study, we propose the superconducting stochastic memory (SSM) as a hardware-efficient SNG for SC-based adiabatic quantum-flux-parametron (AQFP) circuits. The SSM has a simple structure comprising a flux storage loop and a QFP, which can generate stochastic bit streams with an arbitrary probability distribution, controlled by the stored flux quanta. We experimentally demonstrate that the probability of 1s in the generated bit stream (i.e., stochastic number) can be controlled by the number and polarity of stored flux quanta. Furthermore, we show that the SSM occupies much less power dissipation of the entire SC system compared with the conventional comparator-based SNG.
Keyword (in Japanese) (See Japanese page) 
(in English) stochastic computing / superconducting stochastic memory / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 153, SCE2023-7, pp. 34-38, Aug. 2023.
Paper # SCE2023-7 
Date of Issue 2023-08-01 (SCE) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SCE  
Conference Date 2023-08-08 - 2023-08-08 
Place (in Japanese) (See Japanese page) 
Place (in English) Yokohama National Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SCE 
Conference Code 2023-08-SCE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Design of a superconducting stochastic memory for large-scale stochastic-computing system 
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Keyword(1) stochastic computing  
Keyword(2) superconducting stochastic memory  
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1st Author's Name Wenhui Luo  
1st Author's Affiliation Yokohama National University (Yokohama Nat’l Univ.)
2nd Author's Name Naoki Takeuchi  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (AIST)
3rd Author's Name Olivia Chen  
3rd Author's Affiliation Tokyo City University (Tokyo City Univ.)
4th Author's Name Nobuyuki Yoshikawa  
4th Author's Affiliation Yokohama National University (Yokohama Nat’l Univ.)
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Speaker Author-1 
Date Time 2023-08-08 13:25:00 
Presentation Time 25 minutes 
Registration for SCE 
Paper # SCE2023-7 
Volume (vol) vol.123 
Number (no) no.153 
Page pp.34-38 
#Pages 5 
Date of Issue 2023-08-01 (SCE) 

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