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  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500a 雑誌掲載論文
  3. 学術雑誌

An Accuracy Reconfigurable Vector Accelerator based on Approximate Logarithmic Multipliers for Energy-Efficient Computing

http://hdl.handle.net/2237/0002004936
http://hdl.handle.net/2237/0002004936
832f594d-1717-493e-8d1e-4cf66229ba62
名前 / ファイル ライセンス アクション
Hou_IEICE.pdf Hou_IEICE.pdf (5.6 MB)
Item type itemtype_ver1(1)
公開日 2023-03-06
タイトル
タイトル An Accuracy Reconfigurable Vector Accelerator based on Approximate Logarithmic Multipliers for Energy-Efficient Computing
言語 en
著者 HOU, Lingxiao

× HOU, Lingxiao

en HOU, Lingxiao

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MASUDA, Yutaka

× MASUDA, Yutaka

en MASUDA, Yutaka

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ISHIHARA, Tohru

× ISHIHARA, Tohru

en ISHIHARA, Tohru

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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 Copyright(C)2023 IEICE
キーワード
主題Scheme Other
主題 approximate computing
キーワード
主題Scheme Other
主題 energy-efficient computing
キーワード
主題Scheme Other
主題 low power design
キーワード
主題Scheme Other
主題 vector acceleration
キーワード
主題Scheme Other
主題 single instruction multiple data
内容記述
内容記述タイプ Abstract
内容記述 The approximate logarithmic multiplier proposed by Mitchell provides an efficient alternative for processing dense multiplication or multiply-accumulate operations in applications such as image processing and real-time robotics. It offers the advantages of small area, high energy efficiency and is suitable for applications that do not necessarily achieve high accuracy. However, its maximum error of 11.1% makes it challenging to deploy in applications requiring relatively high accuracy. This paper proposes a novel operand decomposition method (OD) that decomposes one multiplication into the sum of multiple approximate logarithmic multiplications to widely reduce Mitchell multiplier errors while taking full advantage of its area savings. Based on the proposed OD method, this paper also proposes an accuracy reconfigurable multiply-accumulate (MAC) unit that provides multiple reconfigurable accuracies with high parallelism. Compared to a MAC unit consisting of accurate multipliers, the area is significantly reduced to less than half, improving the hardware parallelism while satisfying the required accuracy for various scenarios. The experimental results show the excellent applicability of our proposed MAC unit in image smoothing and robot localization and mapping application. We have also designed a prototype processor that integrates the minimum functionality of this MAC unit as a vector accelerator and have implemented a software-level accuracy reconfiguration in the form of an instruction set extension. We experimentally confirmed the correct operation of the proposed vector accelerator, which provides the different degrees of accuracy and parallelism at the software level.
言語 en
出版者
出版者 電子情報通信学会
言語 ja
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
関連情報
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1587/transfun.2022VLP0005
収録物識別子
収録物識別子タイプ PISSN
収録物識別子 0916-8508
書誌情報 en : IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

巻 E106A, 号 3, p. 532-541, 発行日 2023-03-01
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