Static analysis to mitigate soft errors in register files

Author(s):  
Jongeun Lee ◽  
A. Shrivastava
2009 ◽  
Vol 44 (7) ◽  
pp. 41-49 ◽  
Author(s):  
Jongeun Lee ◽  
Aviral Shrivastava

2019 ◽  
Author(s):  
Hossein Alimohammadi ◽  
Mostafa Dalvi Esfahani ◽  
Mohammadali Lotfollahi Yaghin

In this study, the seismic behavior of the concrete shear wall considering the opening with different shapes and constant cross-section has been studied, and for this purpose, several shear walls are placed under the increasingly non-linear static analysis (Pushover). These case studies modeled in 3D Abaqus Software, and the results of the ductility coefficient, hardness, energy absorption, added resistance, the final shape, and the final resistance are compared to shear walls without opening.


2018 ◽  
Author(s):  
Oberon Dixon-Luinenburg ◽  
Jordan Fine

Abstract In this paper, we demonstrate a novel nanoprobing approach to establish cause-and-effect relationships between voltage stress and end-of-life performance loss and failure in SRAM cells. A Hyperion II Atomic Force nanoProber was used to examine degradation for five 6T cells on an Intel 14 nm processor. Ten minutes of asymmetrically applied stress at VDD=2 V was used to simulate a ‘0’ bit state held for a long period, subjecting each pullup and pulldown to either VDS or VGS stress. Resultant degradation caused read and hold margins to be reduced by 20% and 5% respectively for the ‘1’ state and 5% and 2% respectively for the ‘0’ state. ION was also reduced, for pulldown and pullup respectively, by 4.5% and 5.4% following VGS stress and 2.6% and 33.8% following VDS stress. Negative read margin failures, soft errors, and read time failures all become more prevalent with these aging symptoms whereas write stability is improved. This new approach enables highly specific root cause analysis and failure prediction for end-of-life in functional on-product SRAM.


2009 ◽  
Vol 32 (4) ◽  
pp. 730-739 ◽  
Author(s):  
Xin-Song WU ◽  
Zhou-Yi ZHOU ◽  
Ye-Ping HE ◽  
Hong-Liang LIANG ◽  
Chun-Yang YUAN

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