DocumentCode
3545325
Title
Design of generic embedded memory built in self test circuit
Author
Liyan, Qiao ; Shi, Bai ; Xin, Zhao ; Ge, Wang
Author_Institution
Dept. of Autom. Test & Control, Harbin Inst. of Technol., Harbin, China
fYear
2009
fDate
16-19 Aug. 2009
Abstract
With the increment of area of memory in SoC, embedded memory test is becoming increasingly significant. The March algorithm and its derived algorithms, which are the mainstream algorithm in memory test domain, can achieve very good effects in terms of testing time and fault coverage. However, because of the different accesses of different types of memories, the same algorithm cannot apply to testing different types of memories. In SoC, implanting different circuits for testing different types of memories will result in high hardware overhead. To solve this problem, we design a generic embedded memory built-in self-test circuit which, according to different types of memories, chooses the suitable testing algorithms through configuring a set of March algorithm registers. This method will make the testing circuit adapt to different types of memories and the corresponding hardware overhead is relatively low. Verified by Modelsim simulation, this method has a flexible configuration and has a high coverage of common faults.
Keywords
SRAM chips; built-in self test; embedded systems; flash memories; integrated circuit design; integrated circuit testing; system-on-chip; March algorithm registers; Modelsim simulation; SRAM embedded memories; SoC; common faults; flash embedded memories; flexible configuration; generic BIST; generic built-in self-test circuit; Algorithm design and analysis; Automatic testing; Built-in self-test; Circuit faults; Circuit testing; Decoding; Electronic equipment testing; Fault detection; Hardware; Logic circuits; March algorithm; built in self test; embedded memory;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3863-1
Electronic_ISBN
978-1-4244-3864-8
Type
conf
DOI
10.1109/ICEMI.2009.5274617
Filename
5274617
Link To Document