DocumentCode
3303772
Title
Roving STARs: an integrated approach to on-line testing, diagnosis, and fault tolerance for FPGAs in adaptive computing systems
Author
Abramovici, Miron ; Emmert, John M. ; Stroud, Charles E.
Author_Institution
Circuits & Syst. Res. Lab., Agere Syst., Murray Hill, NJ, USA
fYear
2001
fDate
2001
Firstpage
73
Lastpage
92
Abstract
We present an integrated approach to on-line FPGA testing, diagnosis and fault tolerance, to be used in high-reliability and high-availability hardware. The testing and diagnostic process takes place in Self-Testing AReas (STARs) of the FPGA, without disturbing the normal system operation. The entire chip is tested by roving the STARs across the FPGA. Our approach guarantees complete testing of both logic cells and interconnect with maximum diagnostic resolution. Our multi-level fault-tolerant technique allows using partially defective logic and routing resources for normal operation, providing longer mission life in the presence of faults. In addition, our dynamic fault-tolerant method ensures that spare resources are always present in the neighborhood of the located fault, thus simplifying fault-bypassing. Our complete method has been successfully implemented and demonstrated on the ORCA 2CA series FPGAs from Lucent Technologies
Keywords
automatic testing; fault tolerant computing; field programmable gate arrays; logic testing; FPGAs; Lucent Technologies; ORCA 2CA series FPGAs; STARs; adaptive computing systems; fault tolerance; integrated approach; logic cells; maximum diagnostic resolution; online diagnosis; online testing; partially defective logic; self-testing areas; system operation; Automatic testing; Circuit testing; Fault diagnosis; Fault tolerance; Fault tolerant systems; Field programmable gate arrays; Logic testing; Programmable control; Runtime; System testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolvable Hardware, 2001. Proceedings. The Third NASA/DoD Workshop on
Conference_Location
Long Beach, CA
Print_ISBN
0-7695-1180-5
Type
conf
DOI
10.1109/EH.2001.937949
Filename
937949
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