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Low-Power and High-Speed SRAM Cells With Double-Node Upset Self-Recovery for Reliable Applications

Shuo Cai, Xinjie Liang, Zhu Huang, Weizheng Wang, Fei Yu

2024IEEE Transactions on Very Large Scale Integration (VLSI) Systems11 citationsDOI

Abstract

Transistor sizing and spacing are constantly decreasing due to the continuous advancement of CMOS technology. The charge of the sensitive nodes in the static random access memory (SRAM) cell gradually decreases, making the SRAM cell more and more sensitive to soft errors, such as single-node upsets (SNUs) and double-node upsets (DNUs). Therefore, two types of radiation-hardened SRAM cells are proposed in this article. First, a low-power DNU self-recovery S6P8N cell is proposed. This cell can realize SNU self-recovery from all sensitive nodes as well as realize partial DNUs self-recovery and has low-power consumption overhead. Second, we propose a high-speed DNU self-recovery S8P6N cell, which has a soft-error tolerance level similar to the S6P8N. Furthermore, it reduces the read access time (RAT) and write access time (WAT). Simulation results show that the proposed cells are self-recovery for all SNUs and most of DNUs. Compared with RHD12, QCCM12T, QUCCE12T, RHMD10T, SEA14T, RHM-12T, S4P8N, S8P4N, RH-14T, HRLP16T, CC18T, and RHM, the average power consumption of S6P8N is reduced by 48.78%, and the average WAT is reduced by 6.62%. While the average power consumption of S8P6N is reduced by 23.64%, and the average WAT and RAT by 9.07% and 36.84%, respectively.

Topics & Concepts

UpsetStatic random-access memoryNode (physics)Power (physics)Computer scienceMaterials scienceEmbedded systemComputer hardwareEngineeringPhysicsMechanical engineeringStructural engineeringQuantum mechanicsSemiconductor materials and devicesVLSI and Analog Circuit TestingAdvancements in Semiconductor Devices and Circuit Design
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