晶圆级集成实现的基于记忆的推理

M. Yasunaga, H. Kitano
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引用次数: 2

摘要

证明了基于记忆的推理(MBR)具有高鲁棒性,适用于采用晶圆规模集成(WSI)技术的硬件实现。提出了一种WSI MBR的硬件设计方案。通过WSI MBR模拟器对其鲁棒性进行了评估。结果表明,缺陷或器件参数的其他波动对MBR的性能影响较小。研究发现,为了获得更高的推理精度,MBR数据库的大小比计算分辨率重要得多。所提出的WSI MBR处理器充分利用了仿真结果中发现的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memory-based reasoning implemented by wafer scale integration
The high robustness of memory-based reasoning (MBR), which is suitable for hardware implementation using wafer scale integration (WSI) technology, is demonstrated. A WSI MBR hardware design is proposed. Its robustness is evaluated by a WSI MBR simulator. The results show that defects or other fluctuations of device parameters have only minor impacts on the performances of the MBR. It is found that in order to obtain higher reasoning accuracy, the size of the MBR database is much more crucial than the computation resolution. The proposed WSI MBR processor takes advantage of benefits discovered in the simulation results.<>
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