现场演示:具有减少数据传输和片上快捷映射的高效神经网络处理器

Yichuan Bai, Zhuang Shao, Chenshuo Zhang, Aojie Jiang, Yuan Du, Li Du
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引用次数: 0

摘要

本演示展示了采用台积电28纳米CMOS技术实现的高效神经网络处理器。处理器以16位动态定点激活和10位动态定点权进行神经网络推理。采用可重构流架构实现片外数据传输减少和片内快捷映射。为实现快速网络部署,开发了集成的神经网络工具链,包括网络模型转换器、定量分析工具和深度学习编译器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Live Demonstration: An Efficient Neural Network Processor with Reduced Data Transmission and On-chip Shortcut Mapping
This demonstration showcases an efficient neural network processor implemented in TSMC 28nm CMOS technology. The processor conducts neural network inference with 16-bit dynamic fix-point activation and 10-bit dynamic fix-point weight. The reconfigurable streaming architecture is employed for off-chip data transmission reduction and on-chip shortcut mapping. An integrated neural network toolchain, including network model converter, quantitative analysis tool, and deep learning compiler, is also developed for fast network deployment.
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