On Dec 1, 2012, at 1:37 PM, Reuti wrote:
> Am 30.11.2012 um 07:16 schrieb shiny knight:
>
>> Thanks for all your replies.
>>
>> As now I have access to 3 iOS devices and 1 Android, so if possible I would
>> be oriented to pursue more the iOS route.
>>
>> So it seems that there is not yet a
Am 30.11.2012 um 07:16 schrieb shiny knight:
> Thanks for all your replies.
>
> As now I have access to 3 iOS devices and 1 Android, so if possible I would
> be oriented to pursue more the iOS route.
>
> So it seems that there is not yet a simple way to do so on these devices
> (Thanks for
The connection on/off the iPad looks like an Ethernet port, I believe - but you
should check that. Alternatively, you can send/recv across the wifi connection.
No idea of the relative speeds, but you should be able to google that data.
On Nov 30, 2012, at 3:35 PM, shiny knight
I totally get your point Jeff, and thanks for pointing it out...this is an
aspect that I didn't consider yet.
Power should not be an issue, since the devices are plugged in. Now I need to
evaluate exactly how much power I can pull while the device is connected to the
computer, compared to the
Thanks a lot for the pointers Ralph.
So I just check out the source for OMPI and build it in Xcode with target iOS?
Sounds pretty straight forward. I will probably have to deal with errors but it
seems that you did it already and it should not be that hard (I am still
learning many things).
Not to throw cold water on this, but I think the canonical problem cited with
doing distributed computations on mobile devices is the power requirement.
Meaning: if the devices are running on battery, you're really not going to get
much computation out of them.
And if you have them plugged
Just an FYI: xgrid is no longer being distributed or supported.
I'd start by first building OMPI against the iOS simulator in Xcode. You may
run into some issues with the atomics that will need addressing, and there may
be other issues with syntax and header file locations. Best to resolve
Thanks for all your replies.
As now I have access to 3 iOS devices and 1 Android, so if possible I would be
oriented to pursue more the iOS route.
So it seems that there is not yet a simple way to do so on these devices
(Thanks for the paper posted Dominik); I will have to look deeper in that
Greetings Ladies and gentlemen,
There is one alternative approach and this a psuedo-cloud based MPI. The
idea is that MPI node list is adjusted via the cloud similar to the way
Xgrid's Bonjour used to do it for Xgrid.
In this case, it is applying an MPI notion to the OpenCL codelets. There
are
I seem to vaguely recall someone porting OMPI to the iPad at one time as part
of a large-scale, impromptu cluster demo at some conference - everyone was
supposed to bring a computer, network them all into a large "cluster", and then
run a benchmark to see how fast it would work. I can't find or
shameless plug:
http://www.mathematik.tu-dortmund.de/~goeddeke/pubs/pdf/Goeddeke_2012_EEV.pdf
In the MontBlanc project (www.montblanc-project.eu), a lot of folks from
all around Europe look into exactly this. Together with a few
colleagues, we have been honoured to get access to an early
You might want to post in beowulf mailing list see cc
and you want to install linux of course.
OpenFabrics releases openmpi, yet it only works at a limited number
of distributions - most important is having
the correct kernel (usually old kernel).
I'm gonna try get it to work at debian soon.
I was looking for some info about MPI port on iOS or Android devices.
I have some old devices that may result useful, if I could be able to include
them in my computation scheme.
OpenCL runs on iOS and Android, so I was wondering if there is any way to have
an old iPhone/phone or iPad/tablet
13 matches
Mail list logo
