DeepPump:多泵深度神经网络

2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP) Pub Date : 2017-07-01 DOI:10.1109/ASAP.2017.7995281

Ruizhe Zhao, T. Todman, W. Luk, Xinyu Niu

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引用次数: 4

摘要

本文提出了一种基于多泵的CNN硬件设计方法DeepPump，该方法与以前的设计相比具有竞争力。未来的工作包括将DeepPump与其他优化集成，并在各种FPGA平台上提供进一步的评估。

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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DeepPump: Multi-pumping deep Neural Networks

This paper presents DeepPump, an approach that generates CNN hardware designs with multi-pumping, which have competitive performance when compared with previous designs. Future work includes integrating DeepPump with other optimisations, and providing further evaluations on various FPGA platforms.

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来源期刊

2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP)

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