全高清60fps CNN超分辨率处理器,基于选择性缓存的移动设备层融合

Juhyoung Lee, Dongjoo Shin, Jinsu Lee, Jinmook Lee, Sanghoon Kang, H. Yoo
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引用次数: 19

摘要

提出了一种高通量CNN超分辨率(SR)处理器,用于高效存储的SR处理。它有三个关键特性:1)基于选择性缓存的层融合,以最大限度地减少外部内存访问(EMA); 2)内存压缩方案,以更小的片上内存占用;3)循环环核架构,以提高核心利用率,提高吞吐量。因此,所实现的处理器在生成全高清图像时达到每秒60帧的吞吐量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Full HD 60 fps CNN Super Resolution Processor with Selective Caching based Layer Fusion for Mobile Devices
A high-throughput CNN super resolution (SR) processor is proposed for memory efficient SR processing. It has three key features: 1) selective caching based layer fusion to minimize external memory access (EMA), 2) memory compaction scheme for smaller on-chip memory footprint, and 3) cyclic ring core architecture to increase the throughput with improved core utilization. As a result, the implemented processor achieves 60 frames-per-second throughput in generating full HD images.
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