Analyzing heterogeneous computing architectures for ADAS and Mobile Imaging applications

Rafal Malewski, Markus Levy, P. Torelli
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Abstract

This document describes a benchmark suite that utilizes real-world workloads from ADAS and Mobile Imaging, to stress various forms of compute resources on embedded heterogeneous architectures, for determination of optimal distribution of compute load across accelerators.
分析ADAS和移动成像应用的异构计算架构
本文档描述了一个基准套件,该套件利用来自ADAS和Mobile Imaging的实际工作负载,在嵌入式异构架构上强调各种形式的计算资源,以确定跨加速器的计算负载的最佳分布。
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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