标题： 4T2R X-ReRAM CiM数组用于容变、低功耗、大规模并行MAC操作 显示英文标题

标题： 4T2R X-ReRAM CiM Array for Variation-tolerant, Low-power, Massively Parallel MAC Operation

摘要： 计算内存（CiM）作为一种可以在低功耗下高速执行AI加速器所需的MAC计算的技术，正受到关注。 然而，随着行并行性的增加，存在关于功耗和器件衍生误差的问题。 本文提出了一种适用于CiM的4T2R ReRAM单元和一种8T SRAM CiM。 结果显示，采用所提出的4T2R ReRAM单元相比传统的4T4R ReRAM单元，可以减少由于ReRAM器件变化引起的误差。 显示英文摘要

摘要： Computation-in-Memory (CiM) is attracting attention as a technology that can perform MAC calculations required for AI accelerators, at high speed with low power consumption. However, there is a problem regarding power consumption and device-derived errors that increase as row parallelism increases. In this paper, a 4T2R ReRAM cell and an 8T SRAM CiM suitable for CiM is proposed. It is shown that adopting the proposed 4T2R ReRAM cell reduces the errors due to variation in ReRAM devices compared to conventional 4T4R ReRAM cells.