Bridging the semantic gaps of GPU acceleration for scale-out CNN-based big data processing: Think big, see small

Convolutional Neural Networks (CNNs) have substantially advanced the state-of-the-art accuracies of object recognition, which is the core function of a myriad of modern multimedia processing techniques such as image/video processing, speech recognition, and natural language processing. GPU-based acc...

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Bibliographic Details

Published in:	2016 International Conference on Parallel Architecture and Compilation Techniques (PACT) pp. 315 - 326
Main Authors:	Mingcong Song, Yang Hu, Yunlong Xu, Chao Li, Huixiang Chen, Jingling Yuan, Tao Li
Format:	Conference Proceeding
Language:	English
Published:	ACM 01.09.2016
Subjects:	Acceleration Big data Computer architecture Deep Learning Distributed System GPU Graphics processing units Libraries Semantics
Online Access:	Get full text
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