Paper Abstract and Keywords |
Presentation |
2023-03-02 14:15
[Memorial Lecture]
DependableHD: A Hyperdimensional Learning Framework for Edge-oriented Voltage-scaled Circuits [Memorial lecture] Dehua Liang (Osaka Univ.), Hiromitsu Awano (Kyoto Univ.), Noriyuki Miura, Jun Shiomi (Osaka Univ.) VLD2022-93 HWS2022-64 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Voltage scaling is a promising approach for energy efficiency but also brings challenges to guaranteeing stable circuit operation. To tackle such issues, we propose DependableHD, a learning framework based on HyperDimensional Computing, which supports the systems to tolerate bit-level memory failure in low voltage with high robustness. DependableHD introduces the concept of margin enhancement and utilizes noise injection to improve the robustness. Under 10% memory error, DependableHD exhibits 1.22% accuracy loss on average, which achieves an 11.2x improvement. It supports the systems to reduce the supply voltage from 400mV to 300mV, which provides 50.41% energy reduction while maintaining accuracy. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
HyperDimensional Computing / Voltage Scaling / Robustness / Energy Efficiency / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 402, VLD2022-93, pp. 111-111, March 2023. |
Paper # |
VLD2022-93 |
Date of Issue |
2023-02-22 (VLD, HWS) |
ISSN |
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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VLD2022-93 HWS2022-64 |
Conference Information |
Committee |
HWS VLD |
Conference Date |
2023-03-01 - 2023-03-04 |
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(See Japanese page) |
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(See Japanese page) |
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Paper Information |
Registration To |
VLD |
Conference Code |
2023-03-HWS-VLD |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
DependableHD: A Hyperdimensional Learning Framework for Edge-oriented Voltage-scaled Circuits [Memorial lecture] |
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Keyword(1) |
HyperDimensional Computing |
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Voltage Scaling |
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Robustness |
Keyword(4) |
Energy Efficiency |
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1st Author's Name |
Dehua Liang |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Hiromitsu Awano |
2nd Author's Affiliation |
Kyoto University (Kyoto Univ.) |
3rd Author's Name |
Noriyuki Miura |
3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
4th Author's Name |
Jun Shiomi |
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Osaka University (Osaka Univ.) |
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Speaker |
Author-1 |
Date Time |
2023-03-02 14:15:00 |
Presentation Time |
25 minutes |
Registration for |
VLD |
Paper # |
VLD2022-93, HWS2022-64 |
Volume (vol) |
vol.122 |
Number (no) |
no.402(VLD), no.403(HWS) |
Page |
p.111 |
#Pages |
1 |
Date of Issue |
2023-02-22 (VLD, HWS) |
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