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A technique for automated validation of fault tolerant designs using laser fault injection (LFI)

Authors: John R. Samson Jr.; Wilfrido Alejandro Moreno; Fernando J. Falquez;

A technique for automated validation of fault tolerant designs using laser fault injection (LFI)

Abstract

This paper describes the successful development and demonstration of a Laser Fault Injection (LFI) technique to inject soft, i.e., transient, faults into VLSI circuits in a precisely-controlled, non-destructive, non-intrusive manner for the purpose of validating fault tolerant design and performance. The technique described in this paper not only enables the validation of fault-tolerant VLSI designs, but it also offers the potential for performing automated testing of board-level and system-level fault tolerant designs including fault tolerant operating system and application software. The paper describes the results of LFI testing performed to date on test metal circuit structures, i.e., ring oscillators, flip-flops, and multiplier chains, and on an advanced RISC processor, with comprehensive on-chip concurrent error detection and instruction retry, in a working single board computer. Relative to rapid, low cost testing and validation of complex fault tolerant designs, with the automated laser system at the Laser Restructuring Facility at the University of South Florida Center for Microelectronics Research (USF/CMR), a design with 10000 test points could be tested and validated in under 17 minutes. In addition to describing the successful demonstration of the technique to date, the paper discusses some of the challenges that still need to be addressed to make the technique a truly practical fault tolerant design validation tool.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
25
Average
Top 10%
Top 10%
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