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Towards Heterogeneous Computing Platforms for Autonomous Driving

机译:面向自动驾驶的异构计算平台

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This paper introduces a new project: Research and Development of System on a Chip and Software Platforms for Autonomous Driving, started in April 2019. State-of-the-art high-end embedded platforms have trade-offs between general-purpose processing and power consumption. In order to solve the trade-offs, this project develops heterogeneous computing platforms for autonomous driving. In particular, the heterogeneous computing platforms have a heterogeneous System on a Chip (SoC), which consists of Accelerated Processing Units for AI and robotic algorithms, multi-core CPUs for general-purpose processing, and many-core CPUs for real-time processing. This project also develops software platforms including compilers, operating systems, middleware, and applications for the heterogeneous SoC. The authors believe that this project contributes to early realize autonomous driving.
机译:本文介绍了一个新项目:自动驾驶芯片系统和软件平台的研究与开发,于2019年4月开始。最先进的高端嵌入式平台需要在通用处理和功率之间进行权衡消费。为了解决这些折衷,该项目开发了用于自动驾驶的异构计算平台。特别是,异构计算平台具有一个异构片上系统(SoC),该系统由用于AI和机器人算法的加速处理单元,用于通用处理的多核CPU和用于实时处理的多核CPU组成。 。该项目还开发了用于异构SoC的软件平台,包括编译器,操作系统,中间件和应用程序。作者认为,该项目有助于尽早实现自动驾驶。

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