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SoC Memory Test Optimization using NXP MTR Solutions

机译:使用恩智浦MTR解决方案进行SoC存储器测试优化

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Despite the current Moore's Law deceleration, the memory content of SoCs experienced a huge increase in the last decade, growing from 20% to more than 60% of the chip area on the average. Consequently, efficient testing of embedded memories is becoming exceedingly important. Memory Built in Self-Test (MBIST) modules are frequently embedded into SoCs to speed-up memory test to minimize the test cost. On the other hand, the addition of MBIST logic can increase the SoC die size and consequently its manufacture cost, especially if all memories are tested concurrently. Sequential MBIST modules (which test one memory at a time) can have smaller area but testing memories sequentially can result in an increase in test time. This paper proposes a methodology to balance memory test time vs. area overhead thus ensuring optimal memory test cost. It also presents some real-world case studies in which the application of such optimization methodology resulted in a meaningful reduction in the cumulative memory test cost of some recent NXP SoCs.
机译:尽管当前摩尔定律有所降低,但在过去十年中,SoC的内存容量经历了巨大的增长,平均从芯片面积的20%增长到60%以上。因此,嵌入式存储器的有效测试变得越来越重要。内置自测(MBIST)内存模块经常嵌入SoC中,以加快内存测试速度,从而最大程度地降低测试成本。另一方面,添加MBIST逻辑会增加SoC芯片的尺寸,从而增加其制造成本,尤其是在同时测试所有存储器的情况下。顺序的MBIST模块(一次测试一个存储器)可以具有较小的面积,但是顺序测试存储器会导致测试时间增加。本文提出了一种在内存测试时间与面积开销之间取得平衡的方法,从而确保了最佳的内存测试成本。它还提供了一些实际案例研究,在这些案例研究中,这种优化方法的应用显着降低了一些近期NXP SoC的累积内存测试成本。

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