DocumentCode
2956578
Title
Improving Memory Repair by Selective Row Partitioning
Author
Rab, Muhammad Tauseef ; Bawa, Asad Amin ; Touba, Nur A.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Texas, Austin, TX, USA
fYear
2009
fDate
7-9 Oct. 2009
Firstpage
211
Lastpage
219
Abstract
A new methodology for improving memory repair is presented which can be applied in either manufacture time repair or built-in self-repair (BISR) scenarios. In traditional memory repair, one spare column can only replace one column containing a defective cell. However, the proposed method allows a single spare column to be used to repair multiple defective cells in multiple columns. This is done by selectively decoding the row address bits when generating the control signals for the column MUXes. This logically segments the spare column allowing it to replace different columns in different partitions of the row address space. The hardware is the same for all chips, but fuses are used to customize the row decoding circuitry on a chip-by-chip basis. An algorithm is described for choosing which row address bits to decode given the defect map for a particular chip. This additional degree of freedom allows customization based on the defect map of a chip and increases the effectiveness of the proposed scheme in comparison to traditional memory repair. Experimental results show that, when compared with traditional schemes of similar complexity, the proposed scheme achieves a higher probability of repairing defects.
Keywords
SRAM chips; decoding; failure analysis; SRAM-based memory failures; built-in self-repair; column MUXes; control signals; decoding; defect map; degree of freedom; memory repair; multiple columns; multiple defective cells; row address bits; row address space; row decoding circuitry; selective row partitioning; single spare column; Computer aided manufacturing; Decoding; Fault tolerant systems; Fuses; Geometry; Hardware; Signal generators; Transistors; Very large scale integration; Voltage;
fLanguage
English
Publisher
ieee
Conference_Titel
Defect and Fault Tolerance in VLSI Systems, 2009. DFT '09. 24th IEEE International Symposium on
Conference_Location
Chicago, IL
ISSN
1550-5774
Print_ISBN
978-0-7695-3839-6
Type
conf
DOI
10.1109/DFT.2009.20
Filename
5372254
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