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Message 44343 - Posted: 30 Aug 2016 | 10:52:20 UTC

Hi Crunchers,

The eagle-eyed amongst you might have noticed the recent appearance of "Python Runtime" as the latest addition to our stable of applications.

* what is it? This app deploys a Python runtime environment based on the Conda python distribution.

* why do we need it? Almost all of our application development is now done in Python. This app will give us a way to reliably deploy and execute our software on GPUGRID volunteers' computers by providing a uniform, known Python environment

* how will it be used? If all works well, we'll be able to quickly test and deploy whole new applications, including replacements for the quantum chemistry and CPU MD applications we have previously experimented with. Being able to rapidly deploy new applications will markedly improve the rate at which our research group can innovate.

For the moment the app is Linux only but we hope to roll it out to Windows once it proves reliable.

Matt

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Message 44344 - Posted: 30 Aug 2016 | 12:09:40 UTC

So can we expect WUs for AMD cards?

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Message 44345 - Posted: 30 Aug 2016 | 14:04:38 UTC - in response to Message 44344.

So can we expect WUs for AMD cards?


It's something that this new app will help us develop, yes.

Matt

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Message 44346 - Posted: 30 Aug 2016 | 14:41:51 UTC

GREAT!

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Message 44349 - Posted: 30 Aug 2016 | 20:40:38 UTC - in response to Message 44346.

Both Betas went to the same user. That's quite a finite testing methodology. Might take a while to get round everyone though...
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Message 44350 - Posted: 30 Aug 2016 | 23:43:40 UTC - in response to Message 44343.

* why do we need it? Almost all of our application development is now done in Python. This app will give us a way to reliably deploy and execute our software on GPUGRID volunteers' computers by providing a uniform, known Python environment


Is there anything in particular we need to have installed on our linux machines? Is python already installed by default in linux distributions?
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Message 44356 - Posted: 31 Aug 2016 | 12:19:19 UTC - in response to Message 44350.


Is there anything in particular we need to have installed on our linux machines? Is python already installed by default in linux distributions?


Python distributions and packaging are what's technically known as a catastrophe. We have to deploy our own stand-alone environment to have any hope of getting a reliable base to work from.

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Message 44362 - Posted: 31 Aug 2016 | 19:49:00 UTC - in response to Message 44356.


Is there anything in particular we need to have installed on our linux machines? Is python already installed by default in linux distributions?


Python distributions and packaging are what's technically known as a catastrophe. We have to deploy our own stand-alone environment to have any hope of getting a reliable base to work from.


Ah. So this will be run in a VM? We will need vbox installed? I am trying to understand what is required for the user to install to allow this to work.
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Message 44392 - Posted: 2 Sep 2016 | 9:33:45 UTC - in response to Message 44345.

So can we expect WUs for AMD cards?


It's something that this new app will help us develop, yes.

Matt


Oh, my....

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Message 44393 - Posted: 2 Sep 2016 | 9:35:05 UTC - in response to Message 44362.

Ah. So this will be run in a VM? We will need vbox installed? I am trying to understand what is required for the user to install to allow this to work.


+1
Or they use something like Cosmology@home? Docker app....

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Message 44396 - Posted: 2 Sep 2016 | 10:10:14 UTC - in response to Message 44362.


Ah. So this will be run in a VM? We will need vbox installed?


Oh god please no...

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Message 44398 - Posted: 2 Sep 2016 | 11:54:27 UTC

Need more details ...
Will this be deployed as a VM requiring VirtualBox?

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Message 44459 - Posted: 8 Sep 2016 | 9:34:00 UTC

Continuum Analytics Anaconda
http://gpuopen.com/compute-product/continuum-analytics-anaconda-with-numba/

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Message 44495 - Posted: 12 Sep 2016 | 20:08:54 UTC

Interesting.
Project resumed and waiting for WU.

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Message 44500 - Posted: 12 Sep 2016 | 21:23:11 UTC - in response to Message 44495.

Interesting.
Project resumed and waiting for WU.

Also allowed this project in my prefs.
Python 3 already previously installed (but not Anaconda distrib) because required by some apps...
Waiting...
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Message 44558 - Posted: 20 Sep 2016 | 8:38:52 UTC

AFAIK you don't need anything installed. Conda ships it's own python so that we can be consistent and not use the one the user/OS has installed which might be different versions / broken etc.

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Message 44623 - Posted: 4 Oct 2016 | 17:41:18 UTC

0 wu of this beta app.
Why publish this news without work to submit?

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Message 44624 - Posted: 4 Oct 2016 | 18:02:31 UTC - in response to Message 44623.

Because there were some WUs and test with them have been done. Apparently no further tests are needed at the moment, otherwise there'd be new WUs.

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Message 44666 - Posted: 12 Oct 2016 | 14:34:52 UTC - in response to Message 44624.

Because there were some WUs and test with them have been done.


As usual, it seems to me a "paper launch".
How many Android wus have you seen?
How many OpenCl?
Quantum Chemistry?
Anaconda??

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Message 44668 - Posted: 13 Oct 2016 | 2:45:55 UTC

Hi, long time browser, first time poster. Love your work guys.

Just have one niggling question...

Way back late July [url]http://gpugrid.net/forum_thread.php?id=4341&nowrap=true#44031[/url] there was word of a new app for Pascal to take advantage of the new GTX 10x0 GPUs once Cuda 8 was released.

Afaik Cuda 8.0 came out September 28, 2016 (14 days ago) but I can't seem to find anything clear to say that the original app tested with Cuda 8.0 RC is going to be rolled out, or if a new app is being developed to replace it altogether. Given we're mid October and the year is rolling to a close soon, it'd be handy to know what's happening or planned.

It'd be great if someone could have a sticky - Moderator only GPUGRID App Status thread that lets everyone know what's current version, what's in testing, blockers (from stopping rollout) etc. as this would greatly assist in diseminating info out to all those who are treading water with Pascal GPUs (I've 2x Titan X Pascal GPUs myself sitting idle) waiting for a suitable Pascal compatible app release.

Other than that, please keep up the good work.

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Message 44669 - Posted: 13 Oct 2016 | 14:15:20 UTC - in response to Message 44668.
Last modified: 13 Oct 2016 | 14:16:15 UTC

Way back late July there was word of a new app for Pascal to take advantage of the new GTX 10x0 GPUs once Cuda 8 was released.

Afaik Cuda 8.0 came out September 28, 2016 (14 days ago) but I can't seem to find anything clear to say that the original app tested with Cuda 8.0 RC is going to be rolled out, or if a new app is being developed to replace it altogether. Given we're mid October and the year is rolling to a close soon, it'd be handy to know what's happening or planned.

It'd be great if someone could have a sticky - Moderator only GPUGRID App Status thread that lets everyone know what's current version, what's in testing, blockers (from stopping rollout) etc. as this would greatly assist in diseminating info out to all those who are treading water with Pascal GPUs (I've 2x Titan X Pascal GPUs myself sitting idle) waiting for a suitable Pascal compatible app release.

Here's the Admin and Moderator messages stating that they're waiting for NVidia and CUDA v8.5:

https://www.gpugrid.net/forum_thread.php?id=4341&nowrap=true#44342

http://www.gpugrid.net/forum_thread.php?id=4341&nowrap=true#44652

Seriously though the project can't even provide enough work to keep the current GPUs busy...

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Message 44671 - Posted: 13 Oct 2016 | 15:43:16 UTC - in response to Message 44669.

Seriously though the project can't even provide enough work to keep the current GPUs busy...

That's not true. There was no significant workunit shortage in the past months. However there was just enough to feed the active hosts.
Ironically, since your post Stefan announced the CASP batch, which will provide plenty of short and long workunits as well.

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Message 44684 - Posted: 13 Oct 2016 | 23:35:54 UTC - in response to Message 44671.

Seriously though the project can't even provide enough work to keep the current GPUs busy...

That's not true. There was no significant workunit shortage in the past months. However there was just enough to feed the active hosts.
Ironically, since your post Stefan announced the CASP batch, which will provide plenty of short and long workunits as well.

Actually there was. It's good to have the CASP WUs. I've had 3 so far. On a modest GTX 670, the short 1ns took only 7 minutes. The longest type (50ns) took 6 hours.

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Message 44692 - Posted: 14 Oct 2016 | 2:13:56 UTC - in response to Message 44684.
Last modified: 14 Oct 2016 | 2:14:54 UTC

7 minutes on a gtx 670.. Wow that's pretty impressive! How long do the long tasks take you on the gtx 670?

By long tasks I mean long runs.
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Message 44696 - Posted: 14 Oct 2016 | 9:57:15 UTC - in response to Message 44669.
Last modified: 14 Oct 2016 | 9:59:17 UTC

I'm having a hard time trying to understand. Unfortunately programming isn't in my CV, I simply work in Freight and Distribution.

I thought with the release of Cuda 8, that work previously carried out on a pascal compliant version would hit production and that through the evaluation of Cuda 8, Pascal and the Titan X (P) / GTX 1080 / 1070 would lead to ease of programming for the lower end (1060 / 1050) when they came out.

Given there's no news whatsoever on Cuda 8.5 (Beta / RC / Release), what is it that's in Cuda 8.5 that's not in Cuda 8? Is it because of Visual Studio / Cuda bugs? I'm assuming there's still massive underlying issues in the code that don't allow a Pascal GRID App to be released / tested.

Forgive my ignorance, just trying to get a feel for things as a whole.

Just feel kinda helpless having 22TFLOPS of GPU grunt sitting here idle (as I'm sure many others do too). I was hoping to upgrade my setup to incorporate several externally linked GTX1080 / Titan GPUs to assist with this project (and also double as an Iray rendering server for me) definitely going ahead with that plan if we can get a steady flow of Pascal WUs happening at some stage.

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Message 44699 - Posted: 14 Oct 2016 | 13:19:28 UTC - in response to Message 44692.

7 minutes on a gtx 670.. Wow that's pretty impressive! How long do the long tasks take you on the gtx 670?

By long tasks I mean long runs.

SDOERR_CASP times:
GTX 670: 1ns about 7 minutes, 5ns about 35 minutes, 20ns about 2.5 hours, 50 ns about 6 hours.
GTX 750Ti: 1ns about 9.5 minutes, 5ns about 47 minutes, 20ns about 3 hours, 50ns about 8.5 hours.

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Message 44700 - Posted: 14 Oct 2016 | 15:52:20 UTC - in response to Message 44696.

Given there's no news whatsoever on Cuda 8.5 (Beta / RC / Release), what is it that's in Cuda 8.5 that's not in Cuda 8? Is it because of Visual Studio / Cuda bugs? I'm assuming there's still massive underlying issues in the code that don't allow a Pascal GRID App to be released / tested.


Apparently one has to join the Accelerated Computing Developer Program of Nvidia to get access to the next CUDA Toolkit version.
https://developer.nvidia.com/accelerated-computing-developer

That is why we don't find any information in the web so far. Upcoming specs, features and hotfixes of Version 8.5 are provided to registered members only. That would be my guess.

Just feel kinda helpless having 22TFLOPS of GPU grunt sitting here idle (as I'm sure many others do too). I was hoping to upgrade my setup to incorporate several externally linked GTX1080 / Titan GPUs to assist with this project (and also double as an Iray rendering server for me) definitely going ahead with that plan if we can get a steady flow of Pascal WUs happening at some stage.


+1 Same here. One 1070 and one 1080 sitting idle. But it can't be helped.
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Message 44703 - Posted: 14 Oct 2016 | 21:07:01 UTC - in response to Message 44696.

Just feel kinda helpless having 22TFLOPS of GPU grunt sitting here idle (as I'm sure many others do too).

Unfortunately I can't answer any of your questions, but would be interested in the answers too. My GTX1060 was doing POEM, which I consider a good substitute for GPU-Grid. However, they just quit because they've calculated everything they needed BOINC for by now.. so I wnet to Folding@Home. It doesn't count towards BOINc credits, but it works very well and is (IMO) good science, which might appeal to anyone interested in GPU-Grid too.

BTW: this thread is about the Python Runtime. The "GPU-Grid on Pascal" thread is currently right next to it in the news forum.. please continue the discussion there.

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Message 44709 - Posted: 15 Oct 2016 | 11:31:12 UTC - in response to Message 44703.

Would love to continue there, but the thread is locked......

Sorry to steer the conversation away from it's subject.

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Message 44732 - Posted: 16 Oct 2016 | 20:12:19 UTC - in response to Message 44709.

Unlocked.

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Message 45585 - Posted: 4 Dec 2016 | 10:32:39 UTC

Three months are gone and I never saw a WU.
Any news?

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Message 45586 - Posted: 4 Dec 2016 | 11:03:34 UTC - in response to Message 45585.

Three months are gone and I never saw a WU.
Any news?
This project is CUDA based, so you can use NVidia cards here.
There is an AMD app, but the work for these cards is scarce.

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Message 45590 - Posted: 4 Dec 2016 | 18:13:15 UTC - in response to Message 45585.

Three months are gone and I never saw a WU.
Any news?


All of your 100m credit is from the 680s which are nvidia cards. The AMD portion of this project very limited

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Message 45591 - Posted: 4 Dec 2016 | 21:12:37 UTC

Hello,
I'm aware that gpugrid runs on CUDA. And I know that there's no WU for AMD cards.
But, this thread is about a cpu application that *maybe* can evolve in a OpenCL gpu version.

The application is linux-only and I no longer use nvidia cards: so, why not try to help with the cpu of my linux box?

Cheers.

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Message 46797 - Posted: 31 Mar 2017 | 7:13:53 UTC

After 7 months without any WU, my processor is tired of waiting.
Project suspended, see you.

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Message 46801 - Posted: 31 Mar 2017 | 13:19:45 UTC

I also have some AMD cards that I would love to throw on this project.

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Message 46807 - Posted: 1 Apr 2017 | 4:22:20 UTC

And once again...........The project is wasting my time and money. 100% failure rate is not acceptable.

Just wanted to start the weekend early?
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Message 46810 - Posted: 1 Apr 2017 | 17:03:46 UTC - in response to Message 46807.

And once again...........The project is wasting my time and money. 100% failure rate is not acceptable.
I have negligible failure rate, and I think others have same experiences, in the other case this forum would be flooded by complaints like yours (just as it happened earlier). It is easier to help you if you specify your failures more precisely (especially when you have multiple hosts). Perhaps while you are doing it you could even find the clue yourself.
Now I've checked your tasks on your hosts.
I think you are referring to your host #189416 (i7-970, 3x GTX 770). All of the failed tasks come from GPU 1 (the middle card). This card reaches 80°C (176°F), but there are tasks which fail on that card even at 74°C (165°F). It could be that this card has some kind of failure. I would separate this card, and test it with different tools like furmark. I would also check the all power connectors (PCIe, CPU, 24-pin MB) for burn marks in this PC. The topmost card in this host reaches 87°C (189°F), which is too high.
Your GTX 780Ti's are also quite hot (and have some failures) in your other hosts.
If you see
# The simulation has become unstable. Terminating to avoid lock-up (1)
messages in the stderr output of your tasks after a couple minutes of crunching, these are most probably the sign of a too hot, too much overclocked, or other way failing card (stripes or other artifacts on the screen); in some cases this is a sign of a failing PSU.
If you see this message in the output of a workunit after 5000 steps (= it fails immediately or in a very short time after start), this is a misconfigured workunit, but in this case not much of your resources are wasted.

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Message 46827 - Posted: 6 Apr 2017 | 8:01:48 UTC - in response to Message 46797.

After 7 months without any WU, my processor is tired of waiting.
Project suspended, see you.


I hate being right all the time...

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