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Approximation-Conscious IC Testing

机译:近似感知IC测试

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摘要

Approximate computing Is a nascent energy-efficient computing paradigm for error-tolerant applications. However, the approximate nature of these circuits makes their testing phase quite challenging. Similarly, partial testing of ICs based on a reduced fault list is adapted to exclude some test patterns for manufacturing defects tolerated by design approximation. To streamline these processes and thus reduce yield loss and test cost, and based on distinct subsets of test patterns and fault coverage, we propose an approximation-conscious multi-level IC test flow, which classifies the output of the test process to be either: (1) a "good" defect-free 1C, (2) 7 different levels of "good-enough" partially-passed approximate ICs, or (3) a "bad" rejected IC.
机译:近似计算是一种用于容错应用程序的新兴节能计算范式。但是,这些电路的近似性质使其测试阶段颇具挑战性。类似地,基于减少的故障列表对IC进行的部分测试适用于排除某些测试图案,以用于设计近似所容许的制造缺陷。为了简化这些过程,从而降低良率损失和测试成本,并基于不同的测试模式和故障覆盖率子集,我们提出了一种近似意识的多层IC测试流程,该流程将测试过程的输出分类为: (1)一个“良好”的无缺陷1C,(2)7个不同级别的“良好-足够”的部分通过的近似IC,或(3)一个“不良”的不合格IC。

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