Novel Speed-and-Power-Optimized SRAM Cell Designs With Enhanced Self-Recoverability From Single- and Double-Node Upsets

Yan, Aibin; Chen, Yan; Hu, Yuanjie; Zhou, Jun; Ni, Tianming; Cui, Jie; Girard, Patrick; Wen, Xiaoqing

doi:10.1109/tcsi.2020.3018328

Cited by 54 publications

(32 citation statements)

References 31 publications

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“…Quality. e physical education curriculum learning evaluation index is not only the standard to measure and evaluate the effect of physical education teaching but also the intuitive presentation of physical education teaching concept [3,[17][18][19][20][21]. It is mainly selected and set from the following angles.…”

Section: Evaluation Index Of Long Jump Training Coursementioning

confidence: 99%

Quality Evaluation Method of College Sports Long Jump Training Course Based on Genetic Algorithm

Han

Wang

Zhao

2022

Mobile Information Systems

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In order to improve the accuracy of the quality evaluation of college sports long jump training courses, this paper studies the quality evaluation method of college sports long jump training courses based on a genetic algorithm. According to the purpose of college long jump training course evaluation, basic principles of teaching quality evaluation and classroom teaching evaluation standards constructs the establishment process of evaluation index system and calculates the weight of long jump training course quality evaluation index based on AHP method, so as to provide index basis for subsequent quality evaluation; The quality evaluation model of the long jump training course is constructed based on the genetic algorithm. Through cross operation and mutation operation based on adaptive mutation probability, the high accuracy evaluation of college sports long jump training course quality is realized. The experimental results show that the evaluation accuracy of this design method is higher than 97.21%, and the evaluation satisfaction is higher than 97.15%, which significantly improves the accuracy of the university sports long jump training courses and has practical significance in the course evaluation.

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Section: Evaluation Index Of Long Jump Training Coursementioning

confidence: 99%

Quality Evaluation Method of College Sports Long Jump Training Course Based on Genetic Algorithm

Han

Wang

Zhao

2022

Mobile Information Systems

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“…latches, flip-flops, and SRAMs have been proposed by researchers to tolerate/mitigate SNUs and/or DNUs [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Typical designs about SRAMs include NASA13T [18], RHD12T [19], QCCM12T [20], QUCCE12T [21], DNUSRM [22], we-Quatro [23], Zhang14T [24], and QCCM10T [20]. However, these SRAMs still have the following problems.…”

Section: Introductionmentioning

confidence: 99%

Two 0.8 V, Highly Reliable RHBD 10T and 12T SRAM Cells for Aerospace Applications

Yan

Xiang

et al. 2022

Proceedings of the Great Lakes Symposium on VLSI 2022

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Aggressive scaling of CMOS technologies requires to pay attention to the reliability issues of circuits. This paper presents two highly reliable RHBD 10T and 12T SRAM cells, which can protect against single-node upsets (SNUs) and double-node upsets (DNUs). The 10T cell mainly consists of two cross-coupled input-split inverters and the cell can robustly keep stored values through a feedback mechanism among its internal nodes. It also has a low cost in terms of area and power consumption, since it uses only a few transistors. Based on the 10T cell, a 12T cell is proposed that uses four parallel access transistors. The 12T cell has a reduced read/write access time with the same soft error tolerance when compared to the 10T cell. Simulation results demonstrate that the proposed cells can recover from SNUs and a part of DNUs. Moreover, compared with the state-of-the-art hardened SRAM cells, the proposed 10T cell can save 28.59% write access time, 55.83% read access time, and 4.46% power dissipation at the cost of 4.04% silicon area on average.

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“…Therefore, this paper mainly focuses on radiation hardening against SNUs and DNUs. To tolerate SNUs and DNUs with the RHBD approach, many novel structures, such as latches [5][6][7][8][9], static random-access memories (SRAMs) [10][11] and FFs [12][13][14][15][16][17][18], have been proposed. Among them, DICEs are widely used [19].…”

Section: Introductionmentioning

confidence: 99%

Sextuple Cross-Coupled-DICE Based Double-Node-Upset Recoverable and Low-Delay Flip-Flop for Aerospace Applications

Yan

Chen

Song

et al. 2022

Proceedings of the Great Lakes Symposium on VLSI 2022

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This paper proposes a novel sextuple cross-coupled dualinterlocked-storage-cell (DICE) based double-node-upset (DNU) recoverable and low-delay flip-flop (FF), namely SCDRL-FF, for aerospace applications. The SCDRL-FF mainly consists of sextuple cross-coupled DICEs controlled by clock-gating. The use of clockgating based DICEs significantly reduces the CLK-Q transmission delay of the SCDRL-FF. Through the redundant and interlocked clock-gating based DICEs, the SCDRL-FF can provide complete DNU recoverability. Simulation results demonstrate the DNU recoverability of the SCDRL-FF and a 65% delay reduction on average compared with the state-of-the-art hardened FFs. The low delay overhead makes the proposed SCDRL-FF effectively applicable to high-performance applications and the DNU recoverability makes the proposed SCDRL-FF also suitable for aerospace applications.

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Novel Speed-and-Power-Optimized SRAM Cell Designs With Enhanced Self-Recoverability From Single- and Double-Node Upsets

Cited by 54 publications

References 31 publications

Quality Evaluation Method of College Sports Long Jump Training Course Based on Genetic Algorithm

Quality Evaluation Method of College Sports Long Jump Training Course Based on Genetic Algorithm

Two 0.8 V, Highly Reliable RHBD 10T and 12T SRAM Cells for Aerospace Applications

Sextuple Cross-Coupled-DICE Based Double-Node-Upset Recoverable and Low-Delay Flip-Flop for Aerospace Applications

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