Wang Qiao, Yuling Zhao, Jianguo Yang, Chao Liu, Pengfei Jiang, Qingting Ding, Tiancheng Gong, Q. Luo, H. Lv, Ming Liu
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引用次数: 3
摘要
Von Neumann计算架构系统在处理依赖大数据的计算任务时,由于硬件平台的内存瓶颈,具有能耗高、速度慢的特点。使用PIM(内存中处理)体系结构可以显著改善传统结构中内存瓶颈的缺点。FeRAM(铁电存储器)是一种结构简单、集成度高、功耗低的新型存储器。因此,它一直被认为是最适合PIM的记忆之一。本文利用FeRAM的电荷共享功能,将其设计为存储器并转换为基本计算单元。X(N)OR过程采用双线活化机制。然后,对外围电路进行适度修改,以实现存储在同一位行的操作数之间的逐位X(N)OR操作。此外,还对X(N)OR逻辑进行了仿真。最后的仿真结果表明,目前基于feram的逻辑运算在速度、面积和功耗方面都得到了改善。该研究可为今后PIM中提高算术逻辑单元的性能提供参考。
Non-volatile In Memory Dual-Row X(N)OR Operation with Write Back Circuit Based on 1T1C FeRAM
Von Neumann computing architecture system has the characteristic of high energy consumption and slow speed due to the memory bottlenecks of hardware platforms when it processes computing tasks that rely on big data. The drawbacks of memory bottlenecks in traditional structures can be improved significantly using PIM (processing-in-memory) architectures. FeRAM (ferroelectric memory) is a novel memory with the advantages of simple structure, high integration and low power consumption. Thus, it has always been considered as one of the most proper memories for PIM. In this paper, FeRAM was designed as memory and converted to basic computing cells, based on its charge sharing function. A mechanism of two-line activation was adopted during the process of X(N)OR. Then, peripheral circuits were moderately modified to implement bit-by-bit X(N)OR operations between operands stored in the same bit line. Besides, the simulation of X(N)OR logic was carried out. The final simulation results show that the speed, area and power consumption of current FeRAM-based logic operations are improved. The research can be used to enhance the performance of arithmetic logic units for future PIM.