DocumentCode
258575
Title
Parameterised FPGA reconfigurations for efficient test set generation
Author
Kourfali, Alexandra ; Vansteenkiste, Elias ; Stroobandt, Dirk
Author_Institution
Dept. of Electron. & Inf. Syst. (ELIS), Ghent Univ., Ghent, Belgium
fYear
2014
fDate
8-10 Dec. 2014
Firstpage
1
Lastpage
6
Abstract
This paper proposes the use of parameterised FPGA configurations for a new test set generation approach. The time-consuming problem of test set generation aims at finding the right input values to fully test an ASIC design. Since well-known methods for test set generation such as fault simulation techniques have become impractical to use due to their speed limitations, FPGAs have been used in order to facilitate fault injection techniques. However, the development of previous FPGA fault injection techniques demonstrate either area or time overhead. This paper proposes a post-synthesis fault injection method that combines fault emulation with the parameterised configuration technique. The new fault-injected design is mapped with different mapping solutions based on dynamic specialisation of the logic and routing infrastructure of the FPGA during runtime. The experimental results for the proposed technique indicate a significant reduction of the logic depth and an area reduction up to a factor 10 compared to conventional tools.
Keywords
application specific integrated circuits; automatic test pattern generation; fault simulation; field programmable gate arrays; logic design; logic testing; network routing; ASIC design testing; FPGA fault injection techniques; FPGA logic infrastructure; FPGA routing infrastructure; fault emulation; fault simulation techniques; parameterised FPGA reconfigurations; post-synthesis fault injection method; test set generation; Circuit faults; Emulation; Field programmable gate arrays; Multiplexing; Routing; Testing; Vectors; FPGA; Fault Emulation; Parameterised Configurations; Test set generation;
fLanguage
English
Publisher
ieee
Conference_Titel
ReConFigurable Computing and FPGAs (ReConFig), 2014 International Conference on
Conference_Location
Cancun
Print_ISBN
978-1-4799-5943-3
Type
conf
DOI
10.1109/ReConFig.2014.7032545
Filename
7032545
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