[CP2K-user] [CP2K:18376] Re: GPU oversubscription errors with 2023.1
Alfio Lazzaro
alfio.lazzaro at gmail.com
Mon Jan 23 09:09:41 UTC 2023
I have no clue what's wrong here, however I see in your log that ELPA is
giving some warning message. For this reason, I would suggest to avoid
elpa, i.e. add `--with-elpa=no` during the toolchain installation. Does it
work on a single GPU, i.e. a single MPI rank?
Il giorno venerdì 20 gennaio 2023 alle 15:33:45 UTC+1 jerryt... at gmail.com
ha scritto:
> Dear Forum,
> I successfully compiled v2023.1 (gcc-10.3.0, cuda-11.2, and MKL lib) with
> the toolchain using:
>
> "-j 8 --no-check-certificate --install-all --with-gcc=system
> --with-openmpi --with-mkl --with-sirius=no --with-spfft=no
> --with-cmake=system --enable-cuda --gpu-ver=P100 --with-pexsi
> --with-sirius=no --with-quip=no --with-hdf5=no --with-libvdwxc=no
> --with-spla=no --with-libtorch=no"
>
> However, when I ran a test job, the job crashed and I got GPU
> oversubscription as shown below:
>
> +-----------------------------------------------------------------------------+
> | NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7
> |
>
> |-------------------------------+----------------------+----------------------+
> | 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 Tesla V100-SXM2... Off | 00000000:1A:00.0 Off |
> 0 |
> | N/A 42C P0 80W / 300W | 2585MiB / 16384MiB | 53%
> Default |
> | | |
> N/A |
>
> +-------------------------------+----------------------+----------------------+
> | 1 Tesla V100-SXM2... Off | 00000000:1C:00.0 Off |
> 0 |
> | N/A 36C P0 75W / 300W | 1664MiB / 16384MiB | 65%
> Default |
> | | |
> N/A |
>
> +-------------------------------+----------------------+----------------------+
> | 2 Tesla V100-SXM2... Off | 00000000:1D:00.0 Off |
> 0 |
> | N/A 36C P0 73W / 300W | 1616MiB / 16384MiB | 54%
> Default |
> | | |
> N/A |
>
> +-------------------------------+----------------------+----------------------+
> | 3 Tesla V100-SXM2... Off | 00000000:1E:00.0 Off |
> 0 |
> | N/A 40C P0 71W / 300W | 1614MiB / 16384MiB | 55%
> Default |
> | | |
> N/A |
>
> +-------------------------------+----------------------+----------------------+
>
>
>
> +-----------------------------------------------------------------------------+
> | Processes:
> |
> | GPU GI CI PID Type Process name GPU
> Memory |
> | ID ID Usage
> |
>
> |=============================================================================|
> | 0 N/A N/A 159608 C .../exe/local_cuda/cp2k.psmp
> 1655MiB |
> | 0 N/A N/A 159609 C .../exe/local_cuda/cp2k.psmp
> 307MiB |
> | 0 N/A N/A 159610 C .../exe/local_cuda/cp2k.psmp
> 307MiB |
> | 0 N/A N/A 159611 C .../exe/local_cuda/cp2k.psmp
> 307MiB |
> | 1 N/A N/A 159609 C .../exe/local_cuda/cp2k.psmp
> 1659MiB |
> | 2 N/A N/A 159610 C .../exe/local_cuda/cp2k.psmp
> 1611MiB |
> | 3 N/A N/A 159611 C .../exe/local_cuda/cp2k.psmp
> 1609MiB |
>
> +-----------------------------------------------------------------------------+
>
> However, using CP2K 2022.2, I ran the job successfully and did not get
> this oversubscription.
>
>
> +-----------------------------------------------------------------------------+
> | NVIDIA-SMI 515.65.01 Driver Version: 515.65.01 CUDA Version: 11.7
> |
>
> |-------------------------------+----------------------+----------------------+
> | 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 Tesla V100-SXM2... Off | 00000000:1A:00.0 Off |
> 0 |
> | N/A 37C P0 63W / 300W | 1598MiB / 16384MiB | 31%
> Default |
> | | |
> N/A |
>
> +-------------------------------+----------------------+----------------------+
> | 1 Tesla V100-SXM2... Off | 00000000:1C:00.0 Off |
> 0 |
> | N/A 33C P0 63W / 300W | 1606MiB / 16384MiB | 29%
> Default |
> | | |
> N/A |
>
> +-------------------------------+----------------------+----------------------+
> | 2 Tesla V100-SXM2... Off | 00000000:1D:00.0 Off |
> 0 |
> | N/A 34C P0 63W / 300W | 1562MiB / 16384MiB | 27%
> Default |
> | | |
> N/A |
>
> +-------------------------------+----------------------+----------------------+
> | 3 Tesla V100-SXM2... Off | 00000000:1E:00.0 Off |
> 0 |
> | N/A 37C P0 67W / 300W | 1560MiB / 16384MiB | 25%
> Default |
> | | |
> N/A |
>
> +-------------------------------+----------------------+----------------------+
>
>
>
> +-----------------------------------------------------------------------------+
> | Processes:
> |
> | GPU GI CI PID Type Process name GPU
> Memory |
> | ID ID Usage
> |
>
> |=============================================================================|
> | 0 N/A N/A 163862 C .../exe/local_cuda/cp2k.psmp
> 1599MiB |
> | 1 N/A N/A 163863 C .../exe/local_cuda/cp2k.psmp
> 1603MiB |
> | 2 N/A N/A 163864 C .../exe/local_cuda/cp2k.psmp
> 1557MiB |
> | 3 N/A N/A 163865 C .../exe/local_cuda/cp2k.psmp
> 1555MiB |
>
> +-----------------------------------------------------------------------------+
>
> Additionally, the system output file shows the following CUDA runtime
> error:
>
> CUDA RUNTIME API error: EventRecord failed with error
> cudaErrorInvalidResourceHandle
> (/cluster/home/tanoury/CP2K/cp2k-2023.1_GPU/exts/dbcsr/src/acc/cuda_hip/acc_event.cpp::60)
>
> I have also attached the error output.
>
> Any help to solve this problem is greatly appreciated.
>
> Thank you so much,
> Jerry
>
>
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