gpu24 and gpu25 added to the cluster

[Ifigeneia Apostolopoulou]

Hello Predrag,

could you also please provide the cuDNN version? I couldn't find cudnn.h in
/usr/include, /usr/local/cuda-11/include, /usr/local/cuda/include,
/usr/local/cuda-11/include, /usr/local/cuda-11.5/include

thanks!


On Thu, Dec 16, 2021 at 1:27 PM Predrag Punosevac <predragp at andrew.cmu.edu>
wrote:

> Just to add to this info. The installed version of CUDA is
>
> cuda-11.5.1-1.x86_64
>
> We already have a bunch of servers using cuda 11.1 but perhaps nothing
> newer than 11.3. Rolling back to EOL version CUDA 10 is the option of the
> last resort.
>
> I installed /opt/miniconda-py39
>
> which is Python 3.9.5. Most older servers run Python 3.8 branch or even
> 3.7 branch.
>
> I would like everyone to keep in mind that the OS packaging problem is NP
> hard so rolling things back to some "sweet spot" might be a
> prohibitively expensive approach.
>
> Predrag
>
> On Thu, Dec 16, 2021 at 12:40 PM Ifigeneia Apostolopoulou <
> iapostol at andrew.cmu.edu> wrote:
>
>> Hi all,
>>
>> Has anyone tried to test the new servers?
>>
>> I have not managed to run neither pytorch nor tensorflow processes. I am
>> getting the following errors:
>>
>> tensorflow: CUDA runtime implicit initialization on GPU:0 failed. Status:
>> device kernel image is invalid
>>
>> pytorch: RuntimeError: CUDA error: no kernel image is available for
>> execution on the device
>>
>> I am not sure whether this is a CUDA installation issue / incompatibility
>> (however, I am facing a problem with both pytorch and tensorflow processes
>> that can run on the rest of the servers).
>>
>> thanks!
>>
>>
>>
>> On Wed, Dec 15, 2021 at 10:26 PM Predrag Punosevac <
>> predragp at andrew.cmu.edu> wrote:
>>
>>> Dear Autonians,
>>>
>>> I just finished provisioning two new GPU nodes. The purchase was
>>> approved by Dr. Schneider in July but the order was not placed until late
>>> August due to CMU internal issues just in time to be affected by supply
>>> chain disruption. The servers were finally shipped on 11/24/2021
>>> and received last Wednesday 12/8/2021. To add the final insult to the
>>> injury the nodes were not tagged until Monday afternoon. I had literally to
>>> hunt down people to do the work.
>>> I spent half a day yesterday getting power cables and other misc
>>> supplies. Thus they are only done today. However, I think they are
>>> definitely worth the trouble.
>>>
>>> Each server comes with 8 NVIDIA RTX A6000 connected by high-speed GPU
>>> interconnect NVIDIA links beside PCIe. Each server has 2 AMD EPYC 7502
>>> 32-Core Processors for a total of 128 threads per server. These CPUs are
>>> almost as fast as your desktop processors 3.5 GHz.
>>> Each server has 512GB of RAM and 2TB of scratch. These servers have
>>> 24 2'5" HDD bays so they could potentially be used as a storage space. I
>>> don't have 2'5" HDDs in the lab right now to populate the bays.
>>>
>>> There is one thing which is for now done suboptimally. Namely the
>>> servers were shipped with 1Gbs copper NIC and 10Gbs fiber optical NIC. I
>>> could not locate long enough optical cables in our lab yesterday but I will
>>> try to address this issue soon. I have exactly 2 optical connectors on the
>>> switch so it is down to cabling.
>>>
>>> Have fun and sorry for a long delay.
>>>
>>> Predrag
>>>
>>
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