Paper Abstract and Keywords |
Presentation |
2019-06-13 11:20
A random number generation method for hardware implemented neural networks Sansei Hori, Hakaru Tamukoh (Kyushu Inst. of Tech.) SIS2019-1 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This study proposes a hardware oriented random number generation method to implement a stochastically neural networks such as restricted Boltzmann machines (RBMs) into field programmable gate arrays (FPGAs). Generally, hardware oriented random number generators (RNGs) employ linear feedback shift registers (LFSRs). However, the RNGs require considerable circuit resources. Therefore, it is difficult to implement a large scale of neural network such as deep neural networks (DNNs) with the RNGs. In the proposed method, we employ the underflow bits from calculations by fixed-point numbers instead of the RNGs to reduce the circuit resources.
In this report, we implemented an RBM which employed the proposed method into a software environment and trained the MNIST dataset to evaluate it. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Random number generators / Restricted Boltzmann machines / Digital hardware / FPGA / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 78, SIS2019-1, pp. 1-4, June 2019. |
Paper # |
SIS2019-1 |
Date of Issue |
2019-06-06 (SIS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and 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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SIS2019-1 |
Conference Information |
Committee |
SIS IPSJ-AVM ITE-3DMT |
Conference Date |
2019-06-13 - 2019-06-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Fukue Culture Center |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Intelligent Multimedia Systems, Applied Enbedded Systems, Three-Dimensional Image Technology (3DIT), etc. |
Paper Information |
Registration To |
SIS |
Conference Code |
2019-06-SIS-AVM-3DIT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
A random number generation method for hardware implemented neural networks |
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Random number generators |
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Restricted Boltzmann machines |
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Digital hardware |
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FPGA |
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1st Author's Name |
Sansei Hori |
1st Author's Affiliation |
Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
2nd Author's Name |
Hakaru Tamukoh |
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Kyushu Institute of Technology (Kyushu Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2019-06-13 11:20:00 |
Presentation Time |
20 minutes |
Registration for |
SIS |
Paper # |
SIS2019-1 |
Volume (vol) |
vol.119 |
Number (no) |
no.78 |
Page |
pp.1-4 |
#Pages |
4 |
Date of Issue |
2019-06-06 (SIS) |
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