Open Stack

Hi Raffaele, 

Thank you for sharing this use case. I don’t know if you have seen, but we have changed the way that we are organizing content for the upcoming Vancouver Summit <https://www.openstack.org/summit/vancouver-2018/>, and I think that this use case would be a great fit for either the Edge Computing or the HPC/GPU/AI track. 

The deadline to submit is tomorrow, February 8 at 11:59pm PST. 

Please let me know if you have any questions around the content structure or the deadline, and I would be more than happy to help. 

Cheers,
Allison


Allison Price
OpenStack Foundation
allison at openstack.org




> On Feb 7, 2018, at 2:21 PM, Mark Collier <mark at collierclan.net> wrote:
> 
> From: "Raffaele Montella" <raffaele.montella at uniparthenope.it <mailto:raffaele.montella at uniparthenope.it>>
> Date: Feb 7, 2018 9:07 AM
> Subject: [Openstack] Mobile application offloading for both CPU and GPU on OpenStack
> To: "openstack at lists.openstack.org <mailto:openstack at lists.openstack.org>" <openstack at lists.openstack.org <mailto:openstack at lists.openstack.org>>
> Cc: 
> 
> Dears,
> I hope you could find interesting the results delivered by the H2020 RAPID Project https://github.com/RapidProjectH2020 <https://github.com/RapidProjectH2020> http://rapid-project.eu <http://rapid-project.eu/> 
> In very short, it enables Android applications to be offloaded to the cloud (we use openStack) in order to save battery and earn computing power.
> It works with both CPU and GPGPU code enabling CUDA for any regular Android device.
> Cheers,
> Raffaele
> -- 
> -----------------------
> Raffaele Montella, PhD
> Assistant Professor in Computer Science
> Department of Science and Technology
> University of Napoli Parthenope
> CDN Isola C4 - 80143 - Napoli - Italy
> Tel: +39 081 5476672 <tel:+39%20081%20547%206672>
> Mob: +39 339 3055922 <tel:+39%20339%20305%205922>
> 
> 
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