定位
静态随机存取存储器
计算机科学
体积热力学
信号(编程语言)
计算机硬件
定位关键字
钥匙(锁)
面部识别系统
功率(物理)
人工智能
特征提取
操作系统
物理
量子力学
程序设计语言
作者
Anjunyi Fan,Bo Hu,Zhu Ji Jin,Haiyue Han,Yaojun Zhang,Yue Yang,Yuchao Yang,Bonan Yan,Ru Huang
标识
DOI:10.1109/aicas57966.2023.10168569
摘要
We propose a live demonstration at AICAS’2023 for commercial SRAM compute-in-memory (CIM) accelerators. This live demonstration includes both visual and aural signal processing and classification performed by SRAM-based CIM engines. The visual part is a low-power face recognition platform, which can display and detect the audience’s faces in real-time. The aural part is a key word spotting engine, with which the audience can interact and control the device for designated tasks (such as "volume up" and "volume down"). This live demonstration is interactive and can bring a live feeling of energy efficiency improvement using the commercial CIM accelerators.
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