加速基于图的SLAM算法:基于gpu的异构架构研究

2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP) Pub Date : 2015-07-27 DOI:10.1109/ASAP.2015.7245711

Abdelhamid Dine, A. Elouardi, B. Vincke, S. Bouaziz

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引用次数: 5

摘要

在本文中，我们提出了一个使用异构架构来实现基于图的SLAM算法的研究。该研究旨在通过将算法的一些关键计算密集型任务卸载到集成GPU来研究基于ARM-GPU的架构的性能。

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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Speeding up graph-based SLAM algorithm: A GPU-based heterogeneous architecture study

In this paper we present a study of using an heterogeneous architecture to implement the graph-based SLAM algorithm. The study aims to investigate the performances of an ARM-GPU based architecture by offloading some critical compute-intensive tasks of the algorithm to the integrated GPU.

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2015 IEEE 26th International Conference on Application-specific Systems, Architectures and Processors (ASAP)

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