Soft Error Detection Through Software Fault Tolerance Techniques
Abraham, Algorithm-Based Fault Tolerance for Matrix Operations, IEEE Trans.Computers, vol. 33, Dec 1984, pp. 518-528 S. Since the transformations can be automatically applied as apre-compilation phase, the programmer is freed from the cost and responsibility ofintroducing suitable EDMs in its code. INDEX TERMS CITATION Marco Torchiano, Maurizio Rebaudengo, Massimo Violante, Matteo Sonza Reorda, "Soft-Error Detection through Software Fault-Tolerance Techniques", , vol. 00, no. , pp. 210, 1999, doi:10.1109/DFTVS.1999.802887 REFERENCES FULL ARTICLE Full Publisher conditions are provided by RoMEO. Source
However, in most safety-critical systems only a limitedportion of the code must be fault tolerant, while other parts are not crucial for the correctbehavior of the whole system; therefore, the slow-down Torchiano 1 Experimental Evaluation of the Fail-Silent Behavior in Programs with Consistency Checks by M. The performed fault injection experiments allowed us to tune therules by extending them to several fault types that were not originally considered in ouranalysis.On the other side, the experiments allowed us Zenha Rela, H. https://www.computer.org/csdl/proceedings/dft/1999/0325/00/03250210.pdf
Yuriy ALYEKSYEYENKOV 2 In this lesson we focus on the processing unit, which executes machine-language. The system returned: (22) Invalid argument The remote host or network may be down. Silva 2 3 An integrated HW and SW Fault Injection environment for real-time systems by A. ConclusionsWe proposed an approach for automatically transforming programs written in any high-level language so that they can be able to detect most of the errors affecting data and code.The proposed transformation
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- Fault Injection environmentThe environment we exploited for our Fault Injection experiments is the one describedin .
- LOGO Soft-Error Detection Through Software Fault-Tolerance Techniques by Gökhan Tufan İsmail Yıldız.
- All compiler optimizations have been disabled when compiling the modifiedcode.
- For each block a deterministic signature is computedand faults can be detected by comparing the run-time signature with a pre-computed one.In most control-flow checking techniques one of the main problems is
Your cache administrator is webmaster. Figure 5 provides an example of application of the above rule. The results show that the size of the lastcategory of faults is really small, and limited to faults injected in the code area, while thepercentage of faults detected by the software These techniques can detect most of the control-flow errors in the program firstly, and next can correct them, automatically.
Use of this web site signifies your agreement to the terms and conditions. Modified from Sommerville’s originals Software Engineering, 7th edition. Your cache administrator is webmaster. ISBN Chapter 5 Names, Bindings, Type Checking, and Scopes.
In order todetect possible errors affecting these statements, we devised the following rules:• Rule #7: an integer value kj is associated with any procedure j in the code• Rule #8: immediately We are also workingtowards the definition of a new set of rules, allowing to reduce the resulting overhead (interms of memory and speed) at the cost of slightly reduced fault coverage One way to improve. Chapter 20&24 Slide 1 Critical systems development. 1 Programming with Shared Memory ITCS 4/5145 Cluster Computing, UNC-Charlotte, B.
Sonza Reorda, "An integrated HW and SW Fault Injectionenvironment for real-time systems," Proc. http://nzbsites.com/soft-error/soft-error-rate-mitigation-techniques-for-modern-microcircuits.html CS189A/172 - Winter 2008 Lectures 13, 14: Verification, Validation, Testing. morefromWikipedia High-level programming language A high-level programming language is a programming language with strong abstraction from the details of the computer. Our simulations show that the proposed schemes can recover from SEU errors in 99% of the cases.
PART B-UNIT-6-PROCESS FRAMEWORK CHAPTER 1-A FRAMEWORK FOR TESTING AND ANALYSIS. System software- A system software is a collection of system programs that perform a variety of functions i.e file editing, resource. Civera, M. have a peek here Please try the request again.
xavier's Computer Centre, Kolkata : Principles & Techniques of Programming Compiled. The authors describe the effects of radiation in FPGAs, present a large set of soft-error mitigation techniques that can be applied in these circuits, as well as methods for qualifying these Total Fail Silent HW-detectedSW-detectedFail SilentViol.Bubble 2,000 196 20 1,784 0Matrix 2,000 20 1 1,979 0Parser 2,000 261 0 1,739 0Average 2,000 159 7 1834 0Tab. 3: Fault injection results in the
DFT '99. Please try the request again. Fernanda’s current research focuses on soft error mitigation techniques for SRAM-based FPGAs and integrated circuits, such as microprocessors, memories and network-on-chips (NoCs), and the analysis and modeling of radiation effects in Preliminary experimental results are reported, showing the fault coverage obtained by the method, as well as some figures concerning the slow-down and code size increase it causesDiscover the world's research11+ million
Our study considers differences in instruction count and memory overhead, fault coverage and hardware modifications. However, for a wide range of today's power restricted, battery operated embedded devices, power consumption becomes a crucial problem that is addressed by modern compilers. Ramadan 4. http://nzbsites.com/soft-error/soft-error-trends-and-mitigation-techniques-in-memory-devices.html Software Redundancy Reliable System Design 2010 by: Amir M.
The amount of abstraction provided defines how "high-level" a programming language is. The proposed rules complement other Error DetectionMechanisms that can possibly exist in the system (e.g., based on parity bits or on errorcorrection codes stored in memory). Faults are randomly generated.Source codesize increaseExecutable codesize increasePerformanceslow-downBubble 9.77 1.85 6.77Matrix 6.92 1.92 3.31Parser 5.81 1.94 3.25Average 7.50 1.90 4.44Tab. 1: Effects of proposed transformations3.5. The average increase in the size of the executable code is less than 2.Table 1 reports also the effects of the transformations on the program execution speed.An average slow-down of about
Introduction to Embedded Systems Rabie A. Times have been computed on theMotorola 68040 system described in the following sub-section.3.4. The experimental results demonstrate that at least 93% and 89% of the control-flow errors can be detected and corrected without any data error generation by the CDCC and MCP, respectively. Each instruction that writes variable v must also be duplicated in order to updatethe two copies of the variable.Every fault that occurs in any variable during the program execution can be
H. Huang, J. FTCS-26, 1996, pp. 394-403 K. Copyright © 2016 ACM, Inc.
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