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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 洪一薰(I-Hsuan Ethan Hong) | |
| dc.contributor.author | Yu-Chen Lee | en |
| dc.contributor.author | 李侑澄 | zh_TW |
| dc.date.accessioned | 2023-03-19T23:19:30Z | - |
| dc.date.copyright | 2022-07-08 | |
| dc.date.issued | 2022 | |
| dc.date.submitted | 2022-06-30 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/85603 | - |
| dc.description.abstract | 本研究以桌上型主機板之處理器為主要探討標的，以研發人員的產業領域知識(Domain Knowledge)來找到影響處理器效能的關鍵參數，進行實驗室大量測試數據(Data)的整理，運用簡單的線性迴歸(Linear Regression)方法，讓主機板讀取到使用的處理器及散熱器特性後，來預測處理器在搭配的散熱器下最佳操作頻率及需求電壓，使主機板的處理器在作業系統中能以優化後的效能穩定運作，提供效能需求及內容創作的使用者能增加其使用的應用程式效能、提升使用者的工作效率。此為本研究探討的議題，除了提供效能需求的使用者更佳的體驗，也為產業數據趨動、線性迴歸的應用和發揮提供一個學術上的案例參考。 | zh_TW |
| dc.description.abstract | This research investigates the performance prediction model of desktop processors and identifies the key performance indicators affecting desktop processors performance. We apply the linear regression to the prediction of desktop processor performance so that a motherboard is able to know the capability of desktop processors and coolers. The proposed method allows us to predict the optimized operating frequency and required voltage while the operating system achieves the optimal performance at the stable status of a motherboard. The results help content creation and performance-hungry users to have a better experience over daily applications and to increase their working efficiency. | en |
| dc.description.provenance | Made available in DSpace on 2023-03-19T23:19:30Z (GMT). No. of bitstreams: 1 U0001-2706202216133100.pdf: 3135975 bytes, checksum: bdaee402d58e60a2dfbdda93fc928328 (MD5) Previous issue date: 2022 | en |
| dc.description.tableofcontents | 論文口試委員審定書 i 致謝 ii 摘要 iii Abstract iv 目錄 v 圖目錄 vii 表目錄 viii 第一章 緒論 1 第二章 處理器效能優化影響參數 5 2.1 處理器頻率 5 2.2 處理器核心電壓 7 2.3 處理器散熱 9 第三章 線性迴歸模型建構與流程 11 3.1 線性迴歸演算法 11 3.2 線性迴歸模型與分析流程 15 3.2.1 問題描述及目標 15 3.2.2 最佳操作頻率預測求解模型 17 3.2.3 最佳核心電壓預測求解模型 18 3.2.4 線性迴歸方法分析流程 20 第四章 預測結果分析與驗證 21 4.1 迴歸預測結果分析 21 4.1.1 預測最佳操作頻率迴歸結果 21 4.1.2 預測最佳核心電壓迴歸結果 23 4.1.3 特徵值關係圖表解析 26 4.2 穩定性驗證預測結果 30 4.2.1 穩定性測試及結果 30 4.2.2 研究總結與模型限制 33 4.2.3 線性迴歸方法結果比較 34 第五章 結論與建議 35 參考文獻 36 | |
| dc.language.iso | zh-TW | |
| dc.subject | 處理器效能 | zh_TW |
| dc.subject | 效能優化 | zh_TW |
| dc.subject | 線性迴歸 | zh_TW |
| dc.subject | 線性迴歸 | zh_TW |
| dc.subject | 效能優化 | zh_TW |
| dc.subject | 處理器效能 | zh_TW |
| dc.subject | linear regression | en |
| dc.subject | linear regression | en |
| dc.subject | processor performance | en |
| dc.subject | performance optimization | en |
| dc.subject | processor performance | en |
| dc.subject | performance optimization | en |
| dc.title | 運用線性迴歸預測處理器效能 | zh_TW |
| dc.title | Performance Prediction of Desktop Processors Using Linear Regression | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 110-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 吳政鴻(Cheng-Hung Wu),黃奎隆(Kwei-Long Huang),陳文智(Wen-Chih Chen) | |
| dc.subject.keyword | 線性迴歸,處理器效能,效能優化, | zh_TW |
| dc.subject.keyword | linear regression,processor performance,performance optimization, | en |
| dc.relation.page | 39 | |
| dc.identifier.doi | 10.6342/NTU202201148 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2022-07-03 | |
| dc.contributor.author-college | 工學院 | zh_TW |
| dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
| dc.date.embargo-lift | 2022-07-08 | - |
| 顯示於系所單位： | 工業工程學研究所 | |
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| U0001-2706202216133100.pdf | 3.06 MB | Adobe PDF | 檢視/開啟 |
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