← 返回 JSSC 论文列表JSSC 2024第2期Memory0.18-µmSRAMNeural Network Accelerator
An SRAM-Based Reconfigurable Cognitive Computation Matrix for Sensor Edge Applic
提出了一种适用于传感器边缘应用的SRAM可重构认知计算矩阵，支持多象限乘法和多种激活函数。
0.18-µm CMOS, 3.355 TOPS/W
SRAM可重构计算矩阵传感器边缘应用多象限乘法激活函数
▸支持1、2、4象限乘法
▸提供ReLU、RBF和Logistic三种激活函数
▸采用48个失配参数校准提高计算精度
Abstract
A reconfigurable cognitive computation matrix
(RCCM) in static random access memory (SRAM) suitable for
sensor edge applications is proposed in this article. The proposed
RCCM can take multiple analog currents or digital integers as
the input vector and perform vector-matrix multiplication with
a weight integer matrix. The RCCM can carry out 1-quadrant,
2-quadrant, or 4-quadrant multiplications in the analog domain.
Therefore, the digital integers for the inputs or weights stored in
the SRAM can