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JSSC 2024第1期Memory40nmSRAMEmerging Memory

A Heterogeneous RRAM In-Memory and SRAM Near-Memory SoC for Fused Frame and Even

提出一种异构RRAM内存计算和SRAM近内存计算的SoC,用于融合帧和事件视觉处理。
40nm TSMC ULP工艺
RRAM内存计算SRAM近内存计算异构SoC帧和事件融合电源门控
异构RRAM内存计算和SRAM近内存计算的SoC设计
两级别电源门控技术节省91.8%总功耗
嵌入式三重错误校正(TEC)技术
Abstract
Accurate identification of the target and tracking it at high speeds using drone-mounted cameras and compute hardware finds military and commercial applications. Conven- tional frame-based cameras and convolutional neural networks (CNNs) extract detailed spatial information to show high accu- racy but suffer from lower throughput caused by large models. Alternatively, event cameras capture the motion information as an asynchronous event stream with high temporal resolution. Spiking neural networ