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- W2159571837 abstract "Although there are well known test algorithms that have been used by the industry for years for testing semiconductor random-access memories (RAMs), systematic evaluation of their effectiveness and efficiency has been a difficult job. In the past, it was mainly done manually by proving a certain algorithm can detect a certain type of fault. As memory technology keeps innovating, the growing complexity of the memories and number of fault types that need to be covered will require more effective and efficient test algorithms to be discovered in much shorter time. A systematic approach for developing and evaluating memory test algorithms is thus desired. We propose such an approach here: test algorithm generation by simulation (TAGS), which generates and optimizes test algorithms, given a test time budget. Experimental results show that the algorithms generated by TAGS are more efficient than the traditional test algorithms. Using TAGS, a series of test algorithms with a detailed list of faults covered by each algorithm can be generated, providing easy trade-off between test time and fault coverage." @default.
- W2159571837 created "2016-06-24" @default.
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- W2159571837 date "2002-11-07" @default.
- W2159571837 modified "2023-09-30" @default.
- W2159571837 title "Simulation-based test algorithm generation for random access memories" @default.
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- W2159571837 doi "https://doi.org/10.1109/vtest.2000.843857" @default.
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