gpu24 and gpu25 added to the cluster

[Predrag Punosevac]

Yes. Please get me 5 RPS for RHEL 8.1 and put them in your scratch on
GPU24. Make sure they are for 64 bit AMD/Intel. They have them for ARM and
Power architecture.

On Fri, Dec 17, 2021, 10:31 AM Viraj Mehta <virajm at cs.cmu.edu> wrote:

> Hey Predrag,
>
> I can get it for you. Out of the options listed in the attached image,
> which one would make sense to install? I was thinking the RHEL x86  version
> would be most appropriate.
>
> Best,
> Viraj
>
>
>
> On Fri, Dec 17, 2021 at 9:10 AM Predrag Punosevac <predragp at andrew.cmu.edu>
> wrote:
>
>> It is not installed right now. It is proprietary software and I have to
>> locate my NVIDIA developer credentials to get RPS. If someone can download
>> it quickly for me I will install it.
>>
>> On Fri, Dec 17, 2021, 9:11 AM Ifigeneia Apostolopoulou <
>> iapostol at andrew.cmu.edu> wrote:
>>
>>> 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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