← 返回 JSSC 论文列表JSSC 2024第9期Memory130nmFlash MemoryEmerging Memory
Smart Write Algorithm to Enhance Performances and Reliability of an RRAM Macro Bastien Giraud , Sebastien Ricavy , Cyrille Laffond, Ilan Sever, Valentin Gherman
提出智能写入算法提升RRAM宏的性能与可靠性
128kb RRAM宏, 130nm CMOS, 28.1µA读取裕度, BER<10⁻⁷
RRAM智能写入算法能效优化可靠性增强嵌入式存储
▸创新点1:智能写入算法(SWA) - 该方法创新通过动态调整写入参数(如电压、电流和脉冲宽度)来优化RRAM单元的编程过程,显著降低了83%的能耗并缩短了55%的访问时间。
▸创新点2:读写前验证技术 - 这一系统创新在写入操作前进行预读取验证,确保仅对需要编程的单元进行操作,减少了47%的无效功耗,同时提高了整体系统的可靠性。
▸创新点3:电流限制与写入终止技术 - 电路创新通过实时监测写入电流并在达到目标值时立即终止写入操作,分别降低了56%和13%的功耗,同时避免了过编程导致的器件退化。
▸创新点4:结合ECC机制的写入验证 - 这一系统创新通过整合错误校正码(ECC)和写入验证技术,将比特错误率(BER)控制在10^-7以下,即使在100万次循环后仍保持28.1µA的读取裕度。
Abstract
This article presents a comprehensive assessment of the impact of various design assist techniques on the inherent performance and reliability of native resistive RAM (RRAM) on silicon. The collaborative optimization of design and technology plays a crucial role in replacing conventional flash memory as the leading solution. We showcase that employing read-before-write, current-limitation, and write-termination techniques results in reductions of power consumption during programming oper- ations by 47%, 56%, and 13%, respectively. Through their combination with write verification and error correction code mechanisms, these enhancements collectively achieve an 83% reduction in energy consumption and a notable 55% decrease in access time. These advancements are made possible by the introduction of a novel smart write algorithm (SW A). Lever- aging a representative 128-kb RRAM macro implemented in 130-nm CMOS technology, this study significantly contributes to the feasible integration of RRAM for embedded applications. The experimental assessments on silicon validate the increased reliability, with a demonstrated 28.1-µA read margin after undergoing 1 million cycles without encountering any read errors, maintaining a bit error rate (BER) below 10 −7.