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Cain: Automatic Code Generation for Simultaneous Convolutional Kernels on Focal-plane Sensor-processors
arXiv - CS - Computer Vision and Pattern Recognition Pub Date : 2021-01-21 , DOI: arxiv-2101.08715
Edward Stow, Riku Murai, Sajad Saeedi, Paul H. J. Kelly

Focal-plane Sensor-processors (FPSPs) are a camera technology that enable low power, high frame rate computation, making them suitable for edge computation. Unfortunately, these devices' limited instruction sets and registers make developing complex algorithms difficult. In this work, we present Cain - a compiler that targets SCAMP-5, a general-purpose FPSP - which generates code from multiple convolutional kernels. As an example, given the convolutional kernels for an MNIST digit recognition neural network, Cain produces code that is half as long, when compared to the other available compilers for SCAMP-5.

中文翻译:

该隐:焦平面传感器处理器上同时卷积核的自动代码生成

焦平面传感器处理器(FPSP)是一种摄像头技术,可实现低功耗,高帧率的计算,使其适合边缘计算。不幸的是,这些设备的有限指令集和寄存器使开发复杂算法变得困难。在这项工作中,我们介绍了Cain-一种针对SCAMP-5(一种通用FPSP)的编译器-该Cain从多个卷积内核生成代码。例如,给定MNIST数字识别神经网络的卷积内核,与SCAMP-5的其他可用编译器相比,该隐产生的代码长度是原来的一半。
更新日期:2021-01-22
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