• Title/Summary/Keyword: NPSF

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Modified March Algorithm Considering NPSFs (NPSFs를 고려한 수정된 March 알고리즘)

  • Kim, Tae-Hyeong;Yun, Su-Mun;Park, Seong-Ju
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.37 no.4
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    • pp.71-79
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    • 2000
  • The original March algorithms cannot detect CMOS ADOFs(Address Decoder Open Faults) which requires separate deterministic test patterns. Modified March algorithm using DOF(Degree of Freedom) was suggested to detect these faults in addition to conventional stuck faults. This paper augments the modified march test to further capture NPSFs(Neighborhood Pattern Sensitive Faults). Complete CA(Cellular Automata) is used for address generation and Rl-LFSRs(Randomly Inversed LFSRs) for data generation. A new modified March algorithm can detect SAF, CF, TF, CMOS ADOFs, and part of NPSFs. Time complexity of this algorithm is still O(n).

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An Analysis of Random Built-In Self Test Techniques for Embedded Memory Chips (내장된 메모리 테스트를 위한 랜덤 BIST의 비교분석)

  • 김태형;윤수문;김국환;박성주
    • Proceedings of the IEEK Conference
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    • 1999.11a
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    • pp.935-938
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    • 1999
  • 메모리 테스트는 Built-In Self Test(BIST)와 같이 메모리에 내장된 회로를 통하여 자체 점검하는 방법과 테스터를 통하여 생성된 패턴을 주입하는 방법이 있다. 테스트 패턴 생성방법으로는 각각의 고장모델에 대한 테스트 패턴을 deterministic하게 생성해주는 방법과 Pseudo Random Pattern Generator(PRPG)를 이용하여 생성하는 경우로 구분할 수 있다. 본 연구에서는 PRPG를 패턴 생성기로 사용하여 여러 가지 메모리의 결함을 대표한다고 볼 수 있는 Static 및 Dynamic Neighborhood Pattern Sensitive Fault(NPSF) 등 다양한 종류의 고장을 점검할 수 있도록 메모리 BIST를 구성하였다. 기존의 Linear Feedback Shift Register(LFSR)보다 본 연구에서 제안하는 Linear Hybrid Cellular Automata(LHCA)를 이용한 PRPG가 높고 안정된 고장 점검도를 나타내었다.

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An Efficient Built-in Self-Test Algorithm for Neighborhood Pattern- and Bit-Line-Sensitive Faults in High-Density Memories

  • Kang, Dong-Chual;Park, Sung-Min;Cho, Sang-Bock
    • ETRI Journal
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    • v.26 no.6
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    • pp.520-534
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    • 2004
  • As the density of memories increases, unwanted interference between cells and the coupling noise between bit-lines become significant, requiring parallel testing. Testing high-density memories for a high degree of fault coverage requires either a relatively large number of test vectors or a significant amount of additional test circuitry. This paper proposes a new tiling method and an efficient built-in self-test (BIST) algorithm for neighborhood pattern-sensitive faults (NPSFs) and new neighborhood bit-line sensitive faults (NBLSFs). Instead of the conventional five-cell and nine-cell physical neighborhood layouts to test memory cells, a four-cell layout is utilized. This four-cell layout needs smaller test vectors, provides easier hardware implementation, and is more appropriate for both NPSFs and NBLSFs detection. A CMOS column decoder and the parallel comparator proposed by P. Mazumder are modified to implement the test procedure. Consequently, these reduce the number of transistors used for a BIST circuit. Also, we present algorithm properties such as the capability to detect stuck-at faults, transition faults, conventional pattern-sensitive faults, and neighborhood bit-line sensitive faults.

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A Test Algorithm for Word-Line and Bit-line Sensitive Faults in High-Density Memories (고집적 메모리에서 Word-Line과 Bit-Line에 민감한 고장을 위한 테스트 알고리즘)

  • 강동철;양명국;조상복
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.40 no.4
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    • pp.74-84
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    • 2003
  • Conventional test algorithms do not effectively detect faults by word-line and bit-line coupling noise resulting from the increase of the density of memories. In this paper, the possibility of faults caused by word-line coupling noise is shown, and new fault model, WLSFs(Word-Line Sensitive Fault) is proposed. We also introduce the algorithm considering both word-line and bit-line coupling noise simultaneously. The algorithm increases probability of faults which means improved fault coverage and more effective test algorithm, compared to conventional ones. The proposed algorithm can also cover conventional basic faults which are stuck-at faults, transition faults and coupling faults within a five-cell physical neighborhood.

An Effective Memory Test Algorithm for Detecting NPSFs (이웃 패턴 감응 고장을 위한 효과적인 메모리 테스트 알고리듬)

  • Suh, Il-Seok;Kang, Yong-Seok;Kang, Sung-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.39 no.11
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    • pp.44-52
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    • 2002
  • Since memory technology has been developed fast, test complexity and test time have been increased simultaneously. In practice, March algorithms are used widely for detecting various faults. However, March algorithms cannot detect NPSFs(Neighborhood Pattern Sensitive Faults) which must be considered for DRAMs. This paper proposes an effective algorithm for high fault coverage by modifying the conventional March algorithms.