操作数
计算机科学
高效能源利用
晶体管
延迟(音频)
按位运算
感测放大器
嵌入式系统
计算机硬件
电压
电子工程
电气工程
工程类
半导体存储器
电信
程序设计语言
作者
Wenjun Tang,Mingyen Lee,Juejian Wu,Yixin Xu,Yao Yu,Yongpan Liu,Kai Ni,Yu Wang,Huazhong Yang,Vijaykrishnan Narayanan,Xueqing Li
出处
期刊:IEEE Transactions on Circuits and Systems I-regular Papers
[Institute of Electrical and Electronics Engineers]
日期:2023-03-07
卷期号:70 (6): 2398-2411
被引量:2
标识
DOI:10.1109/tcsi.2023.3251961
摘要
Bitwise logic-in-memory (BLiM) is a promising approach to efficient computing in data-intensive applications by reducing data movement between memory and processing units. However, existing BLiM techniques have challenges towards higher energy efficiency and speed: (i) DC power in computing and result sensing is significant in most existing RRAM and MRAM based BLiM solutions; (ii) before the computation result could be stored back to the same memory array, existing BLiM has to sense the result first, at the cost of extra power and latency due to the sense amplifiers (SAs). Targeting at higher energy efficiency and speed, this work proposes a new BLiM approach in 2-transistor/ cell (2T/C) and 3T/C topologies based on ferroelectric field-effect transistors (FeFETs), supporting a variety of computing functions. For the first time, this new approach supports SA-free direct write-back, and consumes no static power for computing and sensing with proposed fully dynamic computing and sensing schemes. Another highlight is that this work further minimizes the dynamic power by (i) reducing the chance of bitline charging activities and (ii) recycling the bitline charge in sensing multi-operand operations. Compared with prior BLiM methods based on nonvolatile memories, evaluation shows 3.0x–100x latency and 1.3x–200x energy improvement for typical in- memory XOR operation, which further leads to 3.0x–58x and 3.2x–78x savings of latency and energy, respectively, for the application of advanced-encryption standard (AES).
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