校准
德拉姆
计算机科学
乘法(音乐)
电子工程
方案(数学)
嵌入式系统
电气工程
工程类
均方根
计算机硬件
实时计算
仿真
错误检测和纠正
数据保留
数组数据结构
门阵列
作者
C. Wang,X. Feng,Y. Shen,Z. Liao,S. Ding,Z. Li,X.-J. Yangdong,Y. Zhao,D. Kong,D.-C. Zhang,Y. Lv,M.-H. Xuan,X.-C. Chen,S.-J. Liang,F. Miao
标识
DOI:10.1109/iedm50572.2025.11353772
摘要
We present a 58×32 compute-in-memory (CiM) array based on 4T1C IGZO DRAM cells, demonstrating precise vector-by-matrix multiplication (VMM) operations with quasi-nonvolatile and continuously tunable weights. Fabricated using a large-scale IGZO flexible panel process, the CiM array achieves ultra-long retention of 100,000 (or 2,000) seconds with 8-level (or 263-level) weight precision. The analog weights in CiM array can be precisely programmed into the target values, via a self-calibrating write scheme immune against device-level variation. Experimental results validate accurate VMM operations performed by our 58×32 IGZO CiM array, achieving a low root mean square error (RMSE) of 0.0078 μA between measured and expected results (48,000 data points). We also introduce a time-dependent ADC calibration strategy that maintains high VMM precision over extended periods without refresh.
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