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Vol. 5  No. 18 (2019) · Articles

Application Dependent fault Diagnosis of FPGA for Low power Reconfigurable Systems

Vellingiri.A
Department of Electronics and Communication Engineering KGiSL Institute of Technology, Coimbatore, India , IN

Shanmuga Priya
Department of Electronics and Communication Engineering KGiSL Institute of Technology, Coimbatore, India , IN

📅 Published: April 2019

Keywords: Fault diagnosis, field-programmable gate array (FPGA), testing. Built-in self test (BIST)

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Abstract

Application-dependent test and diagnosis of FPGAs plays a very critical role in such defect tolerance
scheme. This work is complementary to application-independent detection methods for FPGAs. This technique can
uniquely identify any single bridging, open, or stuck-at fault in the interconnect as well as any single functional fault,
a fault resulting a change in the truth table of a function, in the logic blocks. The number of test configurations for
interconnect diagnosis is logarithmic to the size of the mapped design.
The proposed design, called bit-swapping LFSR (BS-LFSR), is composed of an LFSR and a 2 × 1 multiplexer.
When used to generate test patterns for scan-based built-in self-tests, it reduces the number of transitions that occur at
the scan-chain input during scan shift operation by 50% when compared to those patterns produced by a conventional
LFSR. Hence, it reduces the overall switching activity in the circuit under test during test applications. The BS-LFSR
is combined with a scan-chain-ordering algorithm that orders the cells in a way that reduces the average and peak
power (scan and capture) in the test cycle or while scanning out a response to a signature analyzer. These techniques
have a substantial effect on average- and peak-power reductions with negligible effect on fault coverage or test
application time. Experimental results on ISCAS’89 benchmark circuits show up to 65% and 55% reductions in
average and peak power, respectively.

How to Cite

Vellingiri.A, Shanmuga Priya, “Application Dependent fault Diagnosis of FPGA for Low power Reconfigurable Systems,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 5, no. 18, pp. -, April 2019.

References

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