Abstract:Reliable built-in self-test (Reliable BIST) scheme equips to be tolerant of faults, which occur in embedded BIST circuits. To realize reliable BIST, it is required to recover itself from transient errors of its embedded BIST circuits. In this paper, we propose a self-error-correctable response analyzer (RA) for a reliable BIST scheme. Experimental results show that test-reliability of SECRA is superior to TMR MISRs on the assumption that transient faults occur in RA during testing CUTs.
“…Several other galloping bit/patterns-based algorithms were also developed to enhance the fault coverage of targeted fault classes [11,12]. The modified galloping pattern-based and checkerboard algorithms also provide good diagnosis speed and fault coverage [13][14][15][16][17][18]. In these designs, the MBISR hardware consists of three main modules i.e.…”
Section: Introductionmentioning
confidence: 99%
“…March C-testing algorithm is used as a base algorithm for MBIST. The modified MARCH algorithm CHECKERMARC [21] can also be used to design MBIST module but to compare the results with [17,[22][23][24][25], a simple MARCH Calgorithm is considered as a first choice. This MARCH C-based MBIST module embedded in the SRAM memory and can work concurrently with other two modules.…”
The article presents a new augmented and improved MMBISR for SRAM using hybrid redundancy analysis (HRA). The presented algorithm is the augmented version of essential spare pivoting (ESP) and local repair most (LRM). The algorithm proposes the best solution by providing optimised set of row and column combination which were suitable for the repairing process. In the proposed redundancy analysis (RA) algorithm, the fault dictionary can be updated or fixed concurrently, according to MBIST needs and supplied control signals. The row and column pivots and repair requests are also serviced according to precedency list prepared by the comparing actions. The comparative analysis with LRM and ESP-RA algorithms shows that the proposed algorithm has reduced complexity and tracing time in terms of implementation and in terms of finding row and column pivots. For the implementation, a MBISR hardware structure is designed and tested using suitable VHDL descriptions that were targeted for Virtex-5, xc5vlx30 FPGA. The results were also justified that the proposed algorithm is quite effective as the repair rate is increased up to 4% compared to the ESP. However, some nominal area penalty is observed as compared to ESP.
“…Several other galloping bit/patterns-based algorithms were also developed to enhance the fault coverage of targeted fault classes [11,12]. The modified galloping pattern-based and checkerboard algorithms also provide good diagnosis speed and fault coverage [13][14][15][16][17][18]. In these designs, the MBISR hardware consists of three main modules i.e.…”
Section: Introductionmentioning
confidence: 99%
“…March C-testing algorithm is used as a base algorithm for MBIST. The modified MARCH algorithm CHECKERMARC [21] can also be used to design MBIST module but to compare the results with [17,[22][23][24][25], a simple MARCH Calgorithm is considered as a first choice. This MARCH C-based MBIST module embedded in the SRAM memory and can work concurrently with other two modules.…”
The article presents a new augmented and improved MMBISR for SRAM using hybrid redundancy analysis (HRA). The presented algorithm is the augmented version of essential spare pivoting (ESP) and local repair most (LRM). The algorithm proposes the best solution by providing optimised set of row and column combination which were suitable for the repairing process. In the proposed redundancy analysis (RA) algorithm, the fault dictionary can be updated or fixed concurrently, according to MBIST needs and supplied control signals. The row and column pivots and repair requests are also serviced according to precedency list prepared by the comparing actions. The comparative analysis with LRM and ESP-RA algorithms shows that the proposed algorithm has reduced complexity and tracing time in terms of implementation and in terms of finding row and column pivots. For the implementation, a MBISR hardware structure is designed and tested using suitable VHDL descriptions that were targeted for Virtex-5, xc5vlx30 FPGA. The results were also justified that the proposed algorithm is quite effective as the repair rate is increased up to 4% compared to the ESP. However, some nominal area penalty is observed as compared to ESP.
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