Comments (6)
kmorel
commented on September 20, 2024
Is there a platform we can have access to to replicate this issue?
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wspear
commented on September 20, 2024
Currently we're testing in a singularity image that provides the spack-installed software. I've pasted the contents of the test log file. We're running other cuda based tests built with this cuda version that are passing without the driver version error.
I'm looking into replication options. Please let me know if there's anything else diagnostic I can provide in the meantime.
Start testing: May 15 20:54 America
----------------------------------------------------------
1/1 Testing: SmokeTestInternal
1/1 Test: SmokeTestInternal
Command: "/home/users/wspear/.spack/test/azy74y34mqyn6rsjvcyhdjaxwlcsxnvd/vtk-m-2.1.0-wmxwujt/smoke_test_build/smoke_test"
Directory: /home/users/wspear/.spack/test/azy74y34mqyn6rsjvcyhdjaxwlcsxnvd/vtk-m-2.1.0-wmxwujt/smoke_test_build
"SmokeTestInternal" start time: May 15 20:54 America
Output:
----------------------------------------------------------
terminate called after throwing an instance of 'vtkm::cont::cuda::ErrorCuda'
what(): CUDA Error: CUDA driver version is insufficient for CUDA runtime version
Unchecked asynchronous error @ /tmp/root/spack-stage/spack-stage-vtk-m-2.1.0-wmxwujtmduiulmxcalaznuz4cz3pymzv/spack-src/vtkm/cont/cuda/internal/RuntimeDeviceConfigurationCuda.h:40
(Stack trace unavailable)
<end of output>
Test time = 0.19 sec
----------------------------------------------------------
Test Failed.
"SmokeTestInternal" end time: May 15 20:54 America
"SmokeTestInternal" time elapsed: 00:00:00
----------------------------------------------------------
End testing: May 15 20:54 America
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wspear
commented on September 20, 2024
If you have access to a system with a Tesla or newer gpu where you can run singularity, this is the image we used: https://oaciss.nic.uoregon.edu/e4s/images/24.05/e4s-cuda80-x86_64-24.05.sif (Running it with the -e and --nv flags should work). It's over 45gb in size so I understand if that's not an option for you.
This is the procedure that gets to the issue we're seeing over here:
wget https://oaciss.nic.uoregon.edu/e4s/images/24.05/e4s-cuda80-x86_64-24.05.sif
singularity run -e --nv e4s-cuda80-x86_64-24.05.sif
git clone https://github.com/E4S-Project/testsuite.git
cd testsuite/validation_tests/vtk-m-cuda
./run.sh
#to sanity check that cuda works in the container you can do
../cuda
./compile.sh
./run.sh
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vicentebolea
commented on September 20, 2024
I think that the error is that vtk-m only builds with the specified cuda_arch whereas the other app might build for older cuda_archs as well in the same binaries. Can you share the nvidia-smi of the target system?
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wspear
commented on September 20, 2024
Here it is:
Singularity> nvidia-smi
Thu May 23 05:14:14 2024
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 525.85.12 Driver Version: 525.85.12 CUDA Version: 12.0 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 NVIDIA H100 PCIe On | 00000000:25:00.0 Off | 0 |
| N/A 45C P0 80W / 310W | 123MiB / 81559MiB | 0% Default |
| | | Disabled |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=============================================================================|
| 0 N/A N/A 5613 G /usr/libexec/Xorg 63MiB |
| 0 N/A N/A 9552 G /usr/bin/gnome-shell 59MiB |
+-----------------------------------------------------------------------------+
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vicentebolea
commented on September 20, 2024
The nvidia driver seems to be enough: https://docs.nvidia.com/deploy/cuda-compatibility/index.html
Another thing could be that the process is picking the integrated GPU. is this a jetson type machine?
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