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Non-Volatile Memory utilizing Reconfigurable Ferroelectric Transistors to enable Differential Read and Energy-Efficient In-Memory Computation

机译:利用可重配置铁电晶体管的非易失性存储器实现差分读取和节能型内存中计算

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We propose a non-volatile memory based on cross-coupled reconfigurable ferroelectric transistors (R-FEFETs) which features differential read along with low power computation-in-memory (CiM). Exploiting the dynamic modulation of hysteresis in R-FEFETs, we achieve the aforementioned functionalities with just 2 access transistors (in addition to 2 R-FEFETs). The differential access of the proposed memory not only enhances the sense margin during read, but also enables natural computation of AND and NOR logic functions between two bits stored in the array, with the assertion of two word-lines. Using this feature, we propose a CiM architecture involving the use of a compact compute module integrated to a sense amplifier which performs Boolean logic as well as arithmetic operations such as addition of two words with a single array access. Unlike existing non-volatile CiM designs, our work features: (i) a self-referenced read operation due to differential access and (ii) a single universal voltage reference for all compute operations. At the array-level, the proposed design (R-FEFET-CiM) achieves 33%, 27% and 12% lower write, read and compute energies respectively, at iso-access time compared to FEFET based CiM (FEFET-CiM). System analysis performed by integrating our R-FEFET-CiM in the Nios II processor shows total system energy savings of 24% and 14% across various benchmarks, compared to near-memory computing and FEFET-CiM, respectively.
机译:我们提出了一种基于交叉耦合可重构铁电晶体管(R-FEFET)的非易失性存储器,该器件具有差分读取以及低功耗内存计算(CiM)的功能。利用R-FEFET中的磁滞的动态调制,我们仅用2个访问晶体管(除了2个R-FEFET)即可实现上述功能。所提出的存储器的差分访问不仅提高了读取期间的感测裕度,而且还通过两个字线的断言,使得能够自然计算阵列中存储的两位之间的AND和NOR逻辑功能。利用此功能,我们提出了一种CiM架构,其中涉及使用集成到检测放大器的紧凑型计算模块,该模块执行布尔逻辑以及算术运算,例如在单个数组访问中添加两个字。与现有的非易失性CiM设计不同,我们的工作特点:(i)由于差分访问而导致的自参考读取操作,以及(ii)所有计算操作都具有一个通用电压参考。在阵列级别,与基于FEFET的CiM(FEFET-CiM)相比,拟议的设计(R-FEFET-CiM)在等访问时间分别实现了33%,27%和12%的写入,读取和计算能量降低。通过将我们的R-FEFET-CiM集成到Nios II处理器中进行的系统分析显示,与近内存计算和FEFET-CiM相比,在各种基准测试中,系统的总能源节省分别为24%和14%。

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