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  4. 64-kB 65-nm GC-eDRAM With Half-Select Support and Parallel Refresh Technique
 
research article

64-kB 65-nm GC-eDRAM With Half-Select Support and Parallel Refresh Technique

Harel, Odem
•
Casarrubias, Emmanuel Nieto  
•
Eggimann, Manuel
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January 1, 2022
Ieee Solid-State Circuits Letters

Gain-cell-embedded DRAM (GC-eDRAM) is an attractive alternative to traditional 6T SRAM, as it offers higher density, lower leakage power, and two-ported functionality. However, its refresh requirement also results in power consumption and memory access limitations. In this letter, we present a GC-eDRAM architecture designed to overcome the refresh disadvantages using a novel technique for improving the availability of the memory. In addition, by using a read-before-write mechanism, half select is supported. The macro avoids the need for supply boosting by employing 3T-1C bitcells and also integrates a replica bit line for optimal access timing to improve performance and power consumption. A 64- kB GC-eDRAM macro was fabricated in a 65- nm process technology, providing a 40% area reduction compared to a 6T SRAM cell, while achieving a 99.99% bit yield with a 16 mu s retention time.

  • Details
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Type
research article
DOI
10.1109/LSSC.2022.3182531
Web of Science ID

WOS:000815659800001

Author(s)
Harel, Odem
•
Casarrubias, Emmanuel Nieto  
•
Eggimann, Manuel
•
Gurkaynak, Frank
•
Benini, Luca
•
Teman, Adam
•
Giterman, Robert  
•
Burg, Andreas  
Date Issued

2022-01-01

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Published in
Ieee Solid-State Circuits Letters
Volume

5

Start page

170

End page

173

Subjects

Computer Science, Hardware & Architecture

•

Engineering, Electrical & Electronic

•

Computer Science

•

Engineering

•

edram

•

embedded memory

•

gain cell

•

refresh

•

retention time

•

sram

•

system architecture

•

embedded dram macro

•

3t gain-cell

•

sram

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

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Available on Infoscience
July 18, 2022
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/189314
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