| Item type |
itemtype_ver1(1) |
| 公開日 |
2022-05-17 |
| タイトル |
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|
タイトル |
An Accuracy Reconfigurable Vector Accelerator Based on Approximate Logarithmic Multipliers |
|
言語 |
en |
| 著者 |
Hou, Lingxiao
Masuda, Yutaka
Ishihara, Tohru
|
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利 |
|
|
言語 |
en |
|
権利情報 |
“© 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.” |
| 内容記述 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
The logarithmic approximate multiplier proposed by Mitchell provides an efficient alternative to accurate multipliers in terms of area and power consumption. However, its maximum error of 11.1% makes it difficult to deploy in applications requiring high accuracy. To widely reduce the error of the Mitchell multiplier, this paper proposes a novel operand decomposition method which decomposes one operand into multiple operands and calculates them using multiple Mitchell multipliers. Based on this operand decomposition, this paper also proposes an accuracy reconfigurable vector accelerator which can provide a required computational accuracy with a high parallelism. The proposed vector accelerator dramatically reduces the area by more than half from the accurate multiplier array while satisfying the required accuracy for various applications. The experimental results show that our proposed vector accelerator behaves well in image processing and robot localization. |
|
言語 |
en |
| 内容記述 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC). 17-20 Jan. 2022. Taipei, Taiwan |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
IEEE |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
|
資源タイプ |
journal article |
| 出版タイプ |
|
|
出版タイプ |
AM |
|
出版タイプResource |
http://purl.org/coar/version/c_ab4af688f83e57aa |
| 関連情報 |
|
|
関連タイプ |
isVersionOf |
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|
識別子タイプ |
DOI |
|
|
関連識別子 |
https://doi.org/10.1109/ASP-DAC52403.2022.9712504 |
| 関連情報 |
|
|
関連タイプ |
isPartOf |
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|
識別子タイプ |
ISBN |
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|
関連識別子 |
978-1-6654-2135-5 |
| 収録物識別子 |
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収録物識別子タイプ |
PISSN |
|
収録物識別子 |
2153-6961 |
| 書誌情報 |
en : ASP-DAC 2022 : 27th Asia and South Pacific Design Automation Conference : Proceedings
p. 568-573,
発行日 2022-02-21
|
ASPDAC_Hou_submit.pdf (2.2 MB)
