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480-GMACS/mW Resonant Adiabatic Mixed-Signal Processor Array for Charge-Based
提出一种谐振绝热混合信号处理器阵列，能效提升25倍，适用于图像分类和面部检测任务。
480 GMACS/mW
谐振绝热混合信号处理器图像分类面部检测能效提升
▸谐振时钟生成技术：采用LC谐振电路驱动时钟信号，通过周期性脉冲信号激活开关，显著降低能量损耗，实现480 GMACS/mW的高能效比，相比传统CMOS驱动提升25倍（方法创新）
▸最小化电容负载变化：通过优化电路设计保持负载电容的稳定性，确保谐振系统持续高效运行，减少能量浪费（电路创新）
▸宽脉冲宽度实现最低能耗：研究发现较宽的脉冲宽度可达到最低能耗点，为谐振系统的能量优化提供了关键参数（方法创新）
▸基于模板的电荷模式计算：采用3-T电荷守恒乘法累加单元阵列，适用于图像分类和面部检测任务，展示了混合信号处理器的实际应用潜力（系统创新）
Abstract
A resonant adiabatic mixed-signal VLSI array de- livers 480 GMACS (10 /57multiply-and-accumulates per second) throughput for every mW of power, a 25-fold improvement over the energy efficiency obtained when resonant clock generator and line drivers are replaced with static CMOS drivers. Losses in resonant clock generation are minimized by activating switches between the LC tank and DC supply with a periodic pulse signal, and by minimizing the variability of the capacitive load to main- tain resonance. We show that minimum energy is attained for relatively wide pulse width, and that typical load distribution in template-based charge-mode computation implies almost constant capacitive load. The resonantly driven 256 512 array of 3-T charge-conserving multiply-accumulate cells is embedded in a template matching processor for image classification and validated in a face detection task.