Static information storage and retrieval – Read/write circuit – Testing
Reexamination Certificate
2007-10-16
2007-10-16
Nguyen, Tuan T. (Department: 2824)
Static information storage and retrieval
Read/write circuit
Testing
C714S042000
Reexamination Certificate
active
11308215
ABSTRACT:
A system and method for automatically adjusting one or more electrical parameters in a memory device, e.g., SRAM arrays. The system and method implements an SRAM sensing sub-array for accelerated collection of fail rate data for use in determining the operating point for optimum tradeoff between single event upset immunity and performance of a primary SRAM array. The accelerated fail rate data is input to an algorithm implemented for setting the SEU sensitivity of a primary SRAM memory array to a predetermined fail rate in an ionizing particle environment. The predetermined fail rate is maintained on a real-time basis in order to provide immunity to SEU consistent with optimum performance.
REFERENCES:
patent: 4983843 (1991-01-01), Thomson
patent: 5657267 (1997-08-01), Levi
patent: 6583470 (2003-06-01), Maki et al.
patent: 6785169 (2004-08-01), Nemati et al.
Soli, et al., “Proton-Sensitive Custom SRAM Detector”, IEEE Nuclear Science Symposium and Medical Imaging Conference, 1991, vol. 3, pp. 1541-1545.
Yang, et al., “Design of Sub-50 nm FinFET Based Low Power SRAMs”, Berkeley Mid-term report, pp. 1-5.
Yang, et al., “Design of FinFET based SRAMs”, UC Berkeley EE 241 Project, May 8, 2003.
Hsu Louis L.
Mandelman Jack A.
Wong Robert C.
Yang Chih-Chao
Jaklitsch, Esq. Lisa U.
Nguyen N
Nguyen Tuan T.
Scully , Scott, Murphy & Presser, P.C.
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