Dear Rahul,
that seems indeed to be the case and I can only guess that the
environment seen by QE is different.
It's easy to check, can you compile and run this trivial program?
program ma
implicit none
integer, device :: a(1000)
integer :: i
a=1
!$cuf kernel do
do i=1,1000
a(i)=2
enddo
end
This is what i get with V100 and driver version: 440.64.00
$ cat b.f90
program ma
implicit none
integer, device :: a(1000)
integer :: i
a=1
!$cuf kernel do
do i=1,1000
a(i)=2
enddo
end
$ pgf90 -Mcuda=cc70,cuda11.0 b.f90
$ ./a.out
cudaGetDevice returned status 35: CUDA driver version is insufficient
for CUDA runtime version
$ pgf90 -Mcuda=cc70,cuda10.2 b.f90
$ ./a.out
$
Best regards,
Pietro
On 12/31/20 2:08 PM, Rahul Verma wrote:
Hi Pietro,
Thank you but, as per this this article
https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.nvidia.com%2Fdeploy%2Fcuda-compatibility%2Findex.html&data=04%7C01%7Cpietro.bonfa%40unipr.it%7C8cf835bfa1e9438b9ba408d8ad8d44f7%7Cbb064bc5b7a841ecbabed7beb3faeb1c%7C0%7C0%7C637450169551871426%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=Kd%2F03UIG0Pka9tm1AwlK0nVBH7MJ4sXrTRlpHdFK%2BJs%3D&reserved=0
NVIDIA driver version 418 is compatible with cuda version 10.1 and 10.2.
Following the output from the command "nvidia-smi"
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.67 Driver Version: 418.67 CUDA Version: 10.1
|
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr.
ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute
M. |
|===============================+======================+======================|
| 0 Tesla V100-PCIE... Off | 00000000:5E:00.0 Off |
Off |
| N/A 40C P0 36W / 250W | 0MiB / 16130MiB | 0%
Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU
Memory |
| GPU PID Type Process name Usage
|
|=============================================================================|
| No running processes found
|
+-----------------------------------------------------------------------------+
Dear Rahul,
that is useful, you can lookup error codes of type 9xxx here:
https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.nvidia.com%2Fcuda%2Fcuda-runtime-api%2Fgroup__CUDART__TYPES.html%23group__CUDART__TYPES_1g3f51e3575c2178246db0a94a430e0038&data=04%7C01%7Cpietro.bonfa%40unipr.it%7C8cf835bfa1e9438b9ba408d8ad8d44f7%7Cbb064bc5b7a841ecbabed7beb3faeb1c%7C0%7C0%7C637450169551871426%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=vLdn%2BfPmfcYUEIetEwNvscFji1iO3Bns0maTirDTCdA%3D&reserved=0
and you'll find
cudaErrorInsufficientDriver = 35
This indicates that the installed NVIDIA CUDA driver is older than
the CUDA runtime library. This is not a supported configuration. Users
should install an updated NVIDIA display driver to allow the application
to run.
The driver installed on the machine is apparently too old also for CUDA
10.2. Can you switch to older versions of the CUDA runtime? Otherwise
you'll need to interact with the system's administrator.
Best regards,
Pietro
On 12/31/20 1:26 PM, Rahul Verma wrote:
Hi Pietro,
I have tried with configure option --disable-parallel but now, I am
getting message passing error..
*** error in Message Passing (mp) module ***
*** error code: 9035
I have also changed the cuda version to 10.2 from 11.1 but the error is
same.
Dear Rahul Verma,
I would try the serial version first. Can you reconfigure and compile
with the additional option
--disable-parallel
and check if the misbehavior persists?
Best regards,
Pietro
On 12/31/20 7:50 AM, Rahul Verma wrote:
I have installed GPU enables QE package in a Volta V100 machine.
Unfortunately, while running pw.x it is not printing any output.
For reference I am attaching config.log and library dependency output
with
this email.
Thank you
Regards
Rahul Verma
Department of Chemistry
IIT Kanpur
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