scholarly journals F_Radish: Enhancing Silent Data Corruption Detection for Aerospace-Based Computing

Electronics ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 61
Author(s):  
Na Yang ◽  
Yun Wang
Keyword(s):  
Detection Efficiency ◽  
Soft Errors ◽  
Soft Error ◽  
Experimental Results ◽  
Detection Capability ◽  
Data Corruption ◽  
High Detection ◽  
Radiation Induced ◽  
Detection Ratio ◽  
Program Point

Radiation-induced soft errors degrade the reliability of aerospace-based computing. Silent data corruption (SDC) is the most dangerous and insidious type of soft error result. To detect SDC, program invariant assertions are used to harden programs. However, there exist redundant assertions in hardened programs, which impairs the detection efficiency. Benign errors are another type of soft error result. An assertion may detect benign errors, incurring unnecessary recovery overhead. The detection degree of an assertion represents the detection capability, and an assertion with a high detection degree can detect severe errors. To improve the detection efficiency and detection degree while reducing the benign detection ratio, F_Radish is proposed in the present work to screen redundant assertions in a novel way. At a program point, the detection degree and benign detection ratio are considered to evaluate the importance of the assertions in the program point. As a result, only the most important assertion remains in the program point. Moreover, the redundancy degree is considered to screen redundant assertions for neighbouring program points. Experimental results show that in comparison with the Radish approach, the detection efficiency of F_Radish is about two times greater. Moreover, F_Radish reduces the benign detection ratio and improves the detection degree. It can avoid more unnecessary recovery overheads and detect more serious SDC than can Radish.

scholarly journals An Investigation into Soft Error Detection Efficiency at Operating System Level

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Seyyed Amir Asghari ◽  
Okyay Kaynak ◽  
Hassan Taheri
Keyword(s):  
Operating System ◽  
Error Detection ◽  
Detection Efficiency ◽  
Soft Errors ◽  
Control Flow ◽  
Soft Error ◽  
System Level ◽  
Occurrence Rate ◽  
Transient Errors ◽  
System Components

Electronic equipment operating in harsh environments such as space is subjected to a range of threats. The most important of these is radiation that gives rise to permanent and transient errors on microelectronic components. The occurrence rate of transient errors is significantly more than permanent errors. The transient errors, or soft errors, emerge in two formats: control flow errors (CFEs) and data errors. Valuable research results have already appeared in literature at hardware and software levels for their alleviation. However, there is the basic assumption behind these works that the operating system is reliable and the focus is on other system levels. In this paper, we investigate the effects of soft errors on the operating system components and compare their vulnerability with that of application level components. Results show that soft errors in operating system components affect both operating system and application level components. Therefore, by providing endurance to operating system level components against soft errors, both operating system and application level components gain tolerance.

Impact of Single-Event Upsets in Deep-Submicron Silicon Technology

MRS Bulletin ◽  
2003 ◽  
Vol 28 (2) ◽  
pp. 117-120 ◽  
Author(s):  
Robert Baumann
Keyword(s):  
Soft Errors ◽  
Deep Submicron ◽  
Soft Error ◽  
Mitigation Strategies ◽  
Single Event ◽  
Radiation Mechanisms ◽  
Silicon Technology ◽  
Single Event Upsets ◽  
Radiation Induced ◽  
Considerable Concern

AbstractThe once-ephemeral soft error phenomenon has recently caused considerable concern for manufacturers of advanced silicon technology. Soft errors, if unchecked, now have the potential for inducing a higher failure rate than all of the other reliability-failure mechanisms combined. This article briefly reviews the three dominant radiation mechanisms responsible for soft errors in terrestrial applications and how soft errors are generated by the collection of radiation-induced charge. Scaling trends in the soft error sensitivity of various memory and logic components are presented, along with a consideration of which applications are most likely to require intervention. Some of the mitigation strategies that can be employed to reduce the soft error rate in these devices are also discussed.

scholarly journals Evaluation of Fengyun-4A Lightning Mapping Imager (LMI) Performance during Multiple Convective Episodes over Beijing

2021 ◽  
Vol 13 (9) ◽  
pp. 1746
Author(s):  
Zhixiong Chen ◽  
Xiushu Qie ◽  
Juanzhen Sun ◽  
Xian Xiao ◽  
Yuxin Zhang ◽  
...  
Keyword(s):  
Doppler Radar ◽  
Detection Efficiency ◽  
Ground Truth ◽  
Radar Data ◽  
Detection Capability ◽  
Cloud Properties ◽  
Order Of Magnitude ◽  
Total Lightning ◽  
Matching Criteria ◽  
Event Based

This study investigates the characteristics of space-borne Lightning Mapping Imager (LMI) lightning products and their relationships with cloud properties using ground-based total lightning observations from the Beijing Broadband Lightning Network (BLNET) and cloud information from S-band Doppler radar data. LMI showed generally consistent lightning spatial distributions with those of BLNET, and yielded a considerable lightning detection capability over regions with complex terrain. The ratios between the LMI events, groups and flashes were approximately 9:3:1, and the number of LMI-detected flashes was roughly one order of magnitude smaller than the number of BLNET-detected flashes. However, in different convective episodes, the LMI detection capability was likely to be affected by cloud properties, especially in strongly electrified convective episodes associated with frequent lightning discharging and thick cloud depth. As a result, LMI tended to detect lightning flashes located in weaker and shallower cloud portions associated with fewer cloud shielding effects. With reference to the BLNET total lightning data as the ground truth of observation (both intra-cloud lightning and cloud-to-ground lightning flashes), the LMI event-based detection efficiency (DE) was estimated to reach 28% under rational spatiotemporal matching criteria (1.5 s and 65 km) over Beijing. In terms of LMI flash-based DE, it was much reduced compared with event-based DE. The LMI flash-based ranged between 1.5% and 3.5% with 1.5 s and 35–65 km matching scales. For 330 ms and 35 km, the spatiotemporal matching criteria used to evaluate Geostationary Lightning Mapper (GLM), the LMI flash-based DE was smaller (<1%).

High detection efficiency neutron sensitive microchannel plate

2013 ◽  
Vol 8 (01) ◽  
pp. P01015-P01015 ◽  
Author(s):  
J Pan ◽  
Y Yang ◽  
Y Tian ◽  
M Zeng ◽  
T Deng ◽  
...  
Keyword(s):  
Detection Efficiency ◽  
Microchannel Plate ◽  
High Detection ◽  
High Detection Efficiency

scholarly journals First measurements with the new 3He-filled Monoblock Aluminium Multitube neutron detector developed at the ILL for ANSTO PLATYPUS reflectometer

2020 ◽  
pp. 1-15
Author(s):  
Luis Abuel ◽  
Friedl Bartsch ◽  
Andrew Berry ◽  
Jean-Claude Buffet ◽  
Sylvain Cuccaro ◽  
...  
Keyword(s):  
Research Collaboration ◽  
Detection Efficiency ◽  
Mechanical Design ◽  
Performance Parameters ◽  
Detector Performance ◽  
High Detection ◽  
Neutron Wavelength ◽  
High Detection Efficiency ◽  
Main Detector ◽  
Characterisation Methods

A detector upgrade was carried out on the PLATYPUS instrument dedicated to neutron reflectometry at the Australian Nuclear Science and Technology Organisation (ANSTO). The new detector, developed in the framework of a research collaboration between the ILL and ANSTO, is based on the Monoblock Aluminium Multi-tube (MAM) detector design already in use on several reflectometers and SANS instruments at the ILL. This article provides a technical description of the mechanical design and read-out electronics of the PLATYPUS detector and its commissioning on the PLATYPUS instrument. The main detector performance parameters have been measured and are presented here as well as the characterisation methods and the results of several reflectometry measurements. These measurements show an improvement in experimental data quality resulting from high positional resolution, high detection efficiency and reduced neutron scattering background in the 2.5–19 Å neutron wavelength range used in PLATYPUS instrument.

Towards high-sensitive built-in current sensors enabling detection of radiation-induced soft errors

2017 ◽  
Vol 78 ◽  
pp. 190-196 ◽  
Author(s):  
Raphael de Oliveira Rocha ◽  
Frank Sill Torres ◽  
Rodrigo Possamai Bastos
Keyword(s):  
Soft Errors ◽  
Radiation Induced ◽  
Current Sensors

scholarly journals Optimized switch-level soft error detection based on advanced switch-level models

2021 ◽  
Author(s):  
Jalal Mohammad Chikhe
Keyword(s):  
Error Detection ◽  
Early Stage ◽  
Soft Errors ◽  
Logic Gate ◽  
Soft Error ◽  
Combinational Circuits ◽  
Single Event Transient ◽  
New Techniques ◽  
Speed Up ◽  
Logic Threshold

Due to the reduction of transistor size, modern circuits are becoming more sensitive to soft errors. The development of new techniques and algorithms targeting soft error detection are important as they allow designers to evaluate the weaknesses of the circuits at an early stage of the design. The project presents an optimized implementation of soft error detection simulator targeting combinational circuits. The developed simulator uses advanced switch level models allowing the injection of soft errors caused by single event-transient pulses with magnitudes lesser than the logic threshold. The ISCAS'85 benchmark circuits are used for the simulations. The transients can be injected at drain, gate, or inputs of logic gate. This gives clear indication of the importance of transient injection location on the fault coverage. Furthermore, an algorithm is designed and implemented in this work to increase the performance of the simulator. This optimized version of the simulator achieved an average speed-up of 310 compared to the non-algorithm based version of the simulator.

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