DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices

Resource | v2 | updated by janarez |
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Type Paper
Created 2016-04
Available at http://dx.doi.org/10.1109/ipsn.2016.7460664
Identifier ISBN: 9781509008025
Description

In this work, we present the design and implementation of DeepX, a software accelerator for deep learning execution. DeepX significantly lowers the device resources (viz. memory, computation, energy) required by deep learning that currently act as a severe bottleneck to mobile adoption.

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is about Mobile phone based sensing software

Mobile phone–based sensing software is a class of software for mobile phones that uses the phone's se...

fits under Deep learning

Deep learning (also known as deep structured learning) is part of a broader family of machine learnin...

is about Deep learning on mobile devices

While traditional computation paradigms rely on mobile sensing and cloud computing, deep learning imp...

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janarez
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6 rating 9 level 5 clarity 2 user's background

Cool idea, at least back in 2016. Got nice results that are worth a read if you are interested in optimization of resources.
After reading I don't understand how it works, it's an advanced read.
I actually wonder how this research continued and if it caught on.
jjones
0 0

6 rating 7 level 7 clarity 3 user's background

Interesting idea