Optimizing convolutional neural networks on embedded platforms with OpenCL

Anton Lokhmotov; Grigori Fursin

doi:10.1145/2909437.2909449

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Optimizing convolutional neural networks on embedded platforms with OpenCL

Anton Lokhmotov Grigori Fursin

Year: 2016 Pages: 1-4

DOI: 10.1145/2909437.2909449

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Abstract

We invite the community to collaboratively design and optimize convolutional neural networks to meet the performance, accuracy and cost requirements for deployment on a range of form factors -- from sensors to self-driving cars.

Keywords:

Convolutional neural network Computer science Software deployment Range (aeronautics) Artificial neural network Embedded system Computer architecture Artificial intelligence Operating system Engineering

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Topics

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

CCD and CMOS Imaging Sensors

Physical Sciences → Engineering → Electrical and Electronic Engineering

Optimizing convolutional neural networks on embedded platforms with OpenCL

Abstract

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Citation History

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