Advanced 2T0C DRAM Technologies for Processing-in-Memory—Part II: Adaptive Layer-Wise Refresh Technique

Two-transistor-zero-capacitor (2T0C) DRAM cell has been proposed and extensively investigated as a memory device for processing-in-memory (PIM) applications. In this two-part article, we propose a novel vertical-transistor on the gate (VTG) 2T0C DRAM cell structure and the refresh technique for PIM applications and demonstrate their effectiveness. We described the improved retention characteristics of VTG DRAM in Part I. In Part II, we introduce the adaptive layer-wise refresh technique to minimize refresh energy consumption while maintaining the inference accuracy. Additionally, we developed a customized simulation framework to evaluate the inference accuracy and hardware performance of the 2T0C DRAM-based PIM macro. Through the simulations reflecting the device characteristics extracted in Part I, the layer-wise refresh technique can achieve the same inference accuracy of 92% and 91%, with refresh energy consumption reduced by 22.9% and 16% respectively, compared to the conventional refresh method.

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Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2024-10-08
DOI
https://doi.org/10.1109/ted.2024.3469183
Citations
4
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
0.83

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article

Advanced 2T0C DRAM Technologies for Processing-in-Memory—Part II: Adaptive Layer-Wise Refresh Technique

Wonbo Shim, Chan-Gi Yook
4 citations
IEEE Transactions on Electron Devices
Semiconductor materials and devices
0.83
article

Advanced 2T0C DRAM Technologies for Processing-in-Memory—Part II: Adaptive Layer-Wise Refresh Technique

Wonbo Shim, Chan-Gi Yook
article en
4 citations

Abstract

Two-transistor-zero-capacitor (2T0C) DRAM cell has been proposed and extensively investigated as a memory device for processing-in-memory (PIM) applications. In this two-part article, we propose a novel vertical-transistor on the gate (VTG) 2T0C DRAM cell structure and the refresh technique for PIM applications and demonstrate their effectiveness. We described the improved retention characteristics of VTG DRAM in Part I. In Part II, we introduce the adaptive layer-wise refresh technique to minimize refresh energy consumption while maintaining the inference accuracy. Additionally, we developed a customized simulation framework to evaluate the inference accuracy and hardware performance of the 2T0C DRAM-based PIM macro. Through the simulations reflecting the device characteristics extracted in Part I, the layer-wise refresh technique can achieve the same inference accuracy of 92% and 91%, with refresh energy consumption reduced by 22.9% and 16% respectively, compared to the conventional refresh method.

IEEE Transactions on Electron DevicesVol. 71(11)
Seoul National University of Science and Technology (KR)
Seoul National University of Science and Technology
Affordable and clean energy
Openalex Percentile: Top 26%
Semiconductor materials and devices
0.83
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