So it's definitely not a PyCUDA issue or even python related. It
consistently crashes on test six of the gpumemtest... and now it kernel
panics on every reboot... I think we have a hardware failure.
Thank you for your help,
Craig

On Wed Dec 10 2014 at 4:25:37 PM Craig Stringham <[email protected]>
wrote:

> Thank you Andreas. I tried python with just an input at the end and it did
> still just crash, so it is not an ipython specific thing. Also putting the
> GPU in persistent mode didn't stop it either (it did take longer to crash
> though). Maybe I'll right a CUDA only program with an infinite loop at the
> end and see if that will crash it as well. As you said, since it causes a
> hard crash it is most likely a driver or hardware issue.
> Thanks!
> Craig
>
> On Wed Dec 10 2014 at 3:05:03 PM Andreas Kloeckner <
> [email protected]> wrote:
>
>> Hi Craig,
>>
>> Craig Stringham <[email protected]> writes:
>> > I keep crashing a server (kernel panic) when using pycuda within
>> ipython.
>> > It doesn't seem to matter what kernel I run and it only crashes several
>> > minutes after I have run a kernel but have kept the ipython shell open.
>> I
>> > am using the latest git version of pycuda with the latest release of
>> CUDA
>> > (6.5) on a K40m. Below is the last portion of the crash dmesg.
>> > Have any of you had a similar issue? I will try putting the GPU in
>> > persistent mode since it appears it is falling off the bus... maybe that
>> > will fix it.
>>
>> I've never seen such a thing, and I'm not even sure what PyCUDA could do
>> to cause a hard crash a machine like that. It sounds like either a
>> driver or hardware bug to me. If there's something that PyCUDA can
>> do to avoid the hard crash, I'd be more than happy to do that--but I'm
>> not even sure what that would be...
>>
>> One possible issue is threads. PyCUDA (CUDA generally, really) isn't
>> very good around them--but that should only be an issue if multiple
>> threads touch the GPU.
>>
>> As a simple test, can you may write a script that does some PyCUDA
>> computations and then sits in a raw_input()? That's somehow the closest
>> analog to IPython I can think of.
>>
>> Anyhow, these are just some suggestions. Hope some of this is helpful.
>>
>> Andreas
>>
>
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