Characterizing System-Level Vulnerability for Instruction Caches against Soft Errors

2011 ◽  
Author(s):  
Shuai Wang
Keyword(s):  
Soft Errors ◽  
System Level ◽  
Instruction Caches

scholarly journals Characterizing System-Level Masking Effects against Soft Errors

Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2286
Author(s):  
Yohan Ko
Keyword(s):  
Embedded Systems ◽  
Power Consumption ◽  
System Reliability ◽  
Soft Errors ◽  
System Level ◽  
Register File ◽  
System Failures ◽  
Early Design ◽  
Lifetime Analysis ◽  
Estimate Reliability

From early design phases to final release, the reliability of modern embedded systems against soft errors should be carefully considered. Several schemes have been proposed to protect embedded systems against soft errors, but they are neither always functional nor robust, even with expensive overhead in terms of hardware area, performance, and power consumption. Thus, system designers need to estimate reliability quantitatively to apply appropriate protection techniques for resource-constrained embedded systems. Vulnerability modeling based on lifetime analysis is one of the most efficient ways to quantify system reliability against soft errors. However, lifetime analysis can be inaccurate, mainly because it fails to comprehensively capture several system-level masking effects. This study analyzes and characterizes microarchitecture-level and software-level masking effects by developing an automated framework with exhaustive fault injections (i.e., soft errors) based on a cycle-accurate gem5 simulator. We injected faults into a register file because errors in the register file can easily be propagated to other components in a processor. We found that only 5% of injected faults can cause system failures on an average over benchmarks, mainly from the MiBench suite. Further analyses showed that 71% of soft errors are overwritten by write operations before being used, and the CPU does not use 20% of soft errors at all after fault injections. The remainder are also masked by several software-level masking effects, such as dynamically dead instructions, compare and logical instructions that do not change the result, and incorrect control flows that do not affect program outputs.

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.

Phaser: Phased methodology for modeling the system-level effects of soft errors

2008 ◽  
Vol 52 (3) ◽  
pp. 293-306 ◽  
Author(s):  
J. A. Rivers ◽  
P. Bose ◽  
P. Kudva ◽  
J.-D. Wellman ◽  
P. N. Sanda ◽  
...  
Keyword(s):  
Soft Errors ◽  
System Level

scholarly journals System-Level Effects of Soft Errors in Uncore Components

2017 ◽  
Vol 36 (9) ◽  
pp. 1497-1510 ◽  
Author(s):  
Hyungmin Cho ◽  
Eric Cheng ◽  
Thomas Shepherd ◽  
Chen-Yong Cher ◽  
Subhasish Mitra
Keyword(s):  
Soft Errors ◽  
System Level

Where do we stand? Comparing system-level service lines in the private sector and in VHA

1998 ◽  
Author(s):  
Martin P. Charns ◽  
Victoria A. Parker ◽  
William H. Wubbenhorst
Keyword(s):  
Private Sector ◽  
System Level

Resilient futures: An individual and system-level approach to improve the well-being and resilience of disadvantaged young Australians.

2018 ◽  
Vol 4 (3) ◽  
pp. 228-244 ◽  
Author(s):  
Ivan J. Raymond ◽  
Matthew Iasiello ◽  
Aaron Jarden ◽  
David Michael Kelly
Keyword(s):  
Well Being ◽  
System Level

Gradient based system-level diagnosis

2007 ◽  
Vol 51 (1-2) ◽  
pp. 43
Author(s):  
Balázs Polgár ◽  
Endre Selényi
Keyword(s):  
System Level ◽  
Gradient Based
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