← 返回 JSSC 论文列表JSSC 2024第10期Digital Circuits22nm
AIMMI Audio and Image Multi-Modal Intelligence via a Low-Power SoC With 2-MByte
提出了一种超低功耗多模态信号处理SoC，集成DNN引擎和音像信号处理加速器，适用于物联网场景。
3-10 TOPS/W峰值能效，功耗0.25-3.84 mW
超低功耗多模态DNN引擎MRAM物联网
▸2MB非易失性MRAM存储DNN权重，结合动态电源门控降低功耗
▸优化的电源管理方案适应不同工作模式
▸新型可重构神经引擎，高效数据流支持DNN指令
Abstract
In this article, we present an ultra-low-power
multi-modal signal processing system on chip (SoC) [audio
and image multi-modal intelligence (AIMMI)] that integrates
a versatile deep neural network (DNN) engine with audio and
image signal processing accelerators for multi-modal Internet-of-
Things (IoT) intelligence. In order to get high energy efficiency
under resource-constrained IoT scenarios, AIMMI features three
efficiency-boosting techniques: 1) 2-MB on-chip non-volatile
magnetoresistive RA