A Hardware-aware Neural Network with a Look-up Table Decomposition Algorithm

• Material Type: 博士論文
• Title: A Hardware-aware Neural Network with a Look-up Table Decomposition Algorithm
• Author/Editor: ゾウ, セツシン
• Author Heading: ゾウ, セツシン
• Publication Date: 2021-09-24
• Publication Date (W3CDTF): 2021-09-24
• Alternative Title: 参照テーブル分解アルゴリズムを伴うハードウェアを意識したニューラルネットワーク
• Degree grantor/type: 北九州市立大学
• Date Granted: 2021-09-24
• Date Granted (W3CDTF): 2021-09-24
• Dissertation Number: 甲第174号
• Degree Type: 博士(工学)
• Conferring No. (Dissertation): 甲第174号
• Text Language Code: eng
• Subject Heading: Look up table; Decomposition Algorithm; Neural Network; Re Configurable Logic Device
• Target Audience: 一般
• Note (General): Neural networks have been successfully implemented on various mobile hardware platforms. However, the high computational cost of neural networks, the large difference in computational accuracy with hardware, and the low structural similarity are often obstacles to be overcome in research.This thesis presents the knowledge and research development on the cross-application of neural networks and logic circuits, including an experimental procedure on implementation of multiple look up tables logic, an approximate decomposition method on decomposing larger size look-up tables into smaller individuals and a hardware-aware structured neural network.In summary, the cost of implementing bidirectional interaction between neural networks and logic circuits can be effectively reduced by benefiting from the logic learning capability of neural networks, the decomposition method of large-size look up tables, and the hardware-aware structure of neural networks.
• Persistent ID (NDL): info:ndljp/pid/11976712; https://dl.ndl.go.jp/pid/11976712
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 国立国会図書館デジタルコレクション > デジタル化資料 > 博士論文; https://dl.ndl.go.jp/collections/A00014
• Acquisition Basis: 博士論文（自動収集）
• Date Accepted (W3CDTF): 2022-01-10T16:22:37+09:00
• Date Created (W3CDTF): 2021-12-25
• Format (IMT): application/pdf
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Periodical Title (URI): https://kitakyu.repo.nii.ac.jp/records/934
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

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2023-09-08 再収集