Self-Driving Car Application of a Stream-Oriented Accelerator Framework

Shimon Kudaka, Ai Suzuki, Natsumi Yamada, Noriki Oshiro, Taichi Miyagi, Yasunori Osana
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引用次数: 1

Abstract

In our self-driving car design for FPT'19 design competition, a stream-oriented acceleration framework is ported to Zynq SoC to enable easy co-design of software and hardware. The framework, OpenFC is primary intended to build a multi-FPGA acceleration cluster with HLS programmability easily but also powerful for embedded acceleration with multiple acceleration modules for image recognition. With the OpenFC framework, programmers can send and receive data streams between the microprocessor and accelerator modules called SPE (streaming processing element.) This paper describes briefly about our self-driving car design with the framework.
面向流加速器框架的自动驾驶汽车应用
在我们为FPT'19设计竞赛设计的自动驾驶汽车中,一个面向流的加速框架被移植到Zynq SoC中,以实现软件和硬件的轻松协同设计。OpenFC框架的主要目的是构建一个具有HLS可编程性的多fpga加速集群,同时也具有强大的嵌入式加速功能,具有用于图像识别的多个加速模块。使用OpenFC框架,程序员可以在微处理器和称为SPE(流处理元素)的加速模块之间发送和接收数据流。本文简要介绍了我们的自动驾驶汽车设计与框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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