scholarly journals An improved SRAM cell design for tolerating radiation-induced single-event effects

2007 ◽  
Vol 4 (3) ◽  
pp. 100-105 ◽  
Author(s):  
Afzel Noore
2017 ◽  
Vol 64 (11) ◽  
pp. 2782-2793 ◽  
Author(s):  
Richard H. Maurer ◽  
Kristin Fretz ◽  
Matthew P. Angert ◽  
David L. Bort ◽  
John O. Goldsten ◽  
...  

Materials ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3411 ◽  
Author(s):  
Cheng Gu ◽  
Rui Chen ◽  
George Belev ◽  
Shuting Shi ◽  
Haonan Tian ◽  
...  

Single-event effects (SEEs) in integrated circuits and devices can be studied by utilizing ultra-fast pulsed laser system through Two Photon Absorption process. This paper presents technical ways to characterize key factors for laser based SEEs mapping testing system: output power from laser source, spot size focused by objective lens, opening window of Pockels cell, and calibration of injected laser energy. The laser based SEEs mapping testing system can work in a stable and controllable status by applying these methods. Furthermore, a sensitivity map of a Static Random Access Memory (SRAM) cell with a 65 nm technique node was created through the established laser system. The sensitivity map of the SRAM cell was compared to a map generated by a commercial simulation tool (TFIT), and the two matched well. In addition, experiments in this paper also provided energy distribution profile along Z axis that is the direction of the pulsed laser injection and threshold energy for different SRAM structures.


2014 ◽  
Vol 61 (6) ◽  
pp. 3331-3340 ◽  
Author(s):  
Cedric Virmontois ◽  
Arthur Toulemont ◽  
Guy Rolland ◽  
Alex Materne ◽  
Valerian Lalucaa ◽  
...  

Author(s):  
Santiago Sondon ◽  
Alfredo Falcon ◽  
Pablo Mandolesi ◽  
Pedro Julian ◽  
Nahuel Vega ◽  
...  

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3160
Author(s):  
Sarah Azimi ◽  
Corrado De Sio ◽  
Daniele Rizzieri ◽  
Luca Sterpone

The continuous scaling of electronic components has led to the development of high-performance microprocessors which are even suitable for safety-critical applications where radiation-induced errors, such as single event effects (SEEs), are one of the most important reliability issues. This work focuses on the development of a fault injection environment capable of analyzing the impact of errors on the functionality of an ARM Cortex-A9 microprocessor embedded within a Zynq-7000 AP-SoC, considering different fault models affecting both the system memory and register resources of the embedded processor. We developed a novel Python-based fault injection platform for the emulation of radiation-induced faults within the AP-SoC hardware resources during the execution of software applications. The fault injection approach is not intrusive, and it does not require modifying the software application under evaluation. The experimental analyses have been performed on a subset of the MiBench benchmark software suite. Fault injection results demonstrate the capability of the developed method and the possibility of evaluating various sets of fault models.


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