Efficient Diagnosis Algorithms for Drowsy SRAMs

Bing-Wei Huang and Jin-Fu Li
National Central University


Abstract

Memory cores usually occupy a significant portion of the chip area of a complex system-on-chip. Thus, the yield of memory cores dominates the yield of the chip. Diagnosis and repair are two important techniques for memory yield improvement. In this paper, we propose two efficient diagnosis algorithms for drowsy static random access memories (SRAMs). The first diagnosis algorithm, March D2, can be used to distinguish drowsy faults (DFs) from non-drowsy faults (NDFs). The second diagnosis algorithm, March D6, can distinguish different fault types of DFs. The March D2 and March D6 require 23N and (10log2N+17)N Read/Write operations, respectively, for testing an NW-bit drowsy SRAM.