博碩士論文 109521129 完整後設資料紀錄

DC 欄位 語言
DC.contributor電機工程學系zh_TW
DC.creator王啓旭zh_TW
DC.creatorChi-Hsu Wangen_US
dc.date.accessioned2022-9-23T07:39:07Z
dc.date.available2022-9-23T07:39:07Z
dc.date.issued2022
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=109521129
dc.contributor.department電機工程學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract范紐曼架構 (von Neumann architecture, VNA) 是現今大多數數位運算的基本架構,它將運算單元跟儲存單元分開,但這個架構在遇到需要相當大量資料運算應用的時候,例如影像處理或是密碼學運算,會有大量的資料在運算單元及儲存單元之間密集的傳輸,這會因為頻寬的限制而導致著名的 范紐曼瓶頸。記憶體內運算 (Computing in-memory, CIM),已經被認為是其中一個非常有效率解決范紐曼瓶頸的方法,透過直接在記憶體內就進行運算,來省去大量的資料傳輸。在過去的研究中,已經有許多記憶體內運算的架構被提出,其中過去的研究者提出了以靜態隨機存取記憶體 (Static Random Access Memory, SRAM) 為基礎,使用 8T SRAM 的架構同時藉由類比電壓的充放電來完成多位元的點積運算架構及運算方法。此架構雖然能成功進行點積運算,但這樣的設計對於 IC 製程、電壓、溫度等變因 (PVT variation) 及老化效應 (Aging Effects) 這些因素非常敏感,這裡提到的老化效應包括偏壓不穩定性 (Bias Temperature Instability,BTI) 及熱載子注入效應 (Hot Carrier Injection, HCI)。為了提供一個可靠的CIM 多位元點積運算架構,在本篇論文中,我們提出一個考慮老化的 CIM老化偵測及兩個透過進行架構上及運算環境上的調整而達成的抗老化方式的策略指南。我們對記憶體使用動態電壓調整 (Dynamic Voltage Scaling, DVS)及補充電阻 (Supplemental Resistor, SR)兩個方式去補償因老化而下降的電流。實驗結果顯示我們所提出的方法可以使得系統維持運作的正確性且在消耗 1.13 倍的能量下壽命可以延長為兩倍。zh_TW
dc.description.abstractNowadays, von Neumann architecture (VNA) has been considered as the fundamental architecture of nearly all digital computers, and the separated computing logic and the storage area is a characteristic of von Neumann architecture. In the data-intensive applications such as image recognition or cryptography computations, large amount of data is transferred between memory and the computing cores, which causes a well-known von Neumann bottleneck due to the limitation of communication bandwidth.Computing In-Memory (CIM), which directly performs in-situ operations at memory, has been considered as one of the promising solutions to overcome von Neumann bottleneck. There are lots of CIM structures have been proposed and studied. Previous researchers have proposed an 8T SRAM based CIM architecture to perform multi-bit dot product computations by analog charging/discharging operations.However, such a structure is very sensitive to process variations as well as aging effects such as Bias Temperature Instability (BTI) and/or Hot Carrier Injection (HCI). In order to overcome the influence of process variations and aging effects, in this paper we propose an aging-aware computing in-memory framework which consists of an aging detection method and two aging tolerance techniques. Specifically, we apply Dynamic Voltage Scaling (DVS) and Supplemental Resistor (SR) on CIM structure to compensate the current drop due to aging effects. Experimental results show that we can maintain the accuracy of operation and double the system lifetime with only 1.13x power consumption in average.en_US
DC.subject記憶體內運算zh_TW
DC.subject正偏壓溫度不穩定性zh_TW
DC.subject熱載子注入效應zh_TW
DC.subject補充電阻zh_TW
DC.subject靜態隨機存取記憶體zh_TW
DC.subject抗老化方式zh_TW
DC.subjectcomputing in-memoryen_US
DC.subjectPBTIen_US
DC.subjectHCIen_US
DC.subjectSupplemental Resistoren_US
DC.subjectSRAMen_US
DC.subjectAging Tolerance Methoden_US
DC.title8T 靜態隨機存取記憶體之內積運算引擎的老化威脅緩解策略: 從架構及運算角度來提出解決的方法zh_TW
dc.language.isozh-TWzh-TW
DC.titleRelieving Aging Threats on 8T-SRAM Dot-Product Engine: Approaches from Structural and Operational Perspectivesen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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