DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 유회준 | - |
dc.contributor.author | Kim, Seryeong | - |
dc.contributor.author | 김세령 | - |
dc.date.accessioned | 2024-07-25T19:31:12Z | - |
dc.date.available | 2024-07-25T19:31:12Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1045894&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/320665 | - |
dc.description | 학위논문(석사) - 한국과학기술원 : 전기및전자공학부, 2023.8,[iii, 18 p. :] | - |
dc.description.abstract | Spiking Neural Network (SNN) Computing-In-Memory (CIM) was proposed for high macro-level energy efficiency. However, system-level energy efficiency is limited by EMA due to a large intermediate activation footprint requirement. To reduce the EMA, a large capacity SNN CIM is needed to load tons of weights in the CIM. This paper proposes a high-density 1T1C eDRAM-based SNN CIM processor for supporting high system-level energy efficiency with two key features: 1) High-density and low-power Reconfigurable Neuro-Cell Array (ReNCA) for memory and SNN peripheral logic using a charge pump and reusing 1T1C cell array, achieving 41% area and 90% power reduction compared to previous work. 2) Reconfigurable CIM architecture with dual-mode ReNCA and Dynamic Adjustable Neuron Link (DAN Link) for layer fusion increases system-level efficiency including intermediate and weight EMA. It achieves high system-level energy efficiency of 157.15TOPS/W at CIFAR 10 (ResNet18). | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | PIM▼a뉴로모픽▼a1T1C▼a메모리▼a재구성가능한 | - |
dc.subject | Processing-in-memory▼aComputing-in-memory▼aSpiking neural network▼a1T1C▼aDRAM▼aReconfigurable▼aSystem efficiency | - |
dc.title | (A) reconfigurable 1T1C eDRAM-based spiking neural network computing-in-memory processor for high system-level efficiency | - |
dc.title.alternative | 높은 시스템 효율을 위한 재구성 가능한 스파이킹 심층 신경망 인메모리 1T1C eDRAM 프로세서 | - |
dc.type | Thesis(Master) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | Yoo, Hoi-jun | - |
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