Dear Taisung,
Thank you very much or your suggestion. I see the "arch = sm_20" in my output as below
Fatbin elf code:
================
arch = sm_20
code version = [1,7]
producer = cuda
host = linux
compile_size = 64bit
Should I give a try on the solution 1 anyhow ? The sm version for Tesla C2075 that I am using, I see sm_20 version.
Thanks again your help.
Best regards
Bogac
________________________________________
From: Taisung Lee <accuratefreeenergy.gmail.com>
Sent: 23 November 2017 23:18
To: 'AMBER Mailing List'
Subject: Re: [AMBER] cudaGetDeviceCount failed unknown error
Hi Ericg,
My guess is that your nvcc8.0-compiled pmemd.cuda cannot run on your
C2075 GPU due to the fact that nvcc8.0 will not produce sm_20 code, which is
required for your C2075, an sm_20 GPU.
You can check by doing:
"cuobjdump $AMBERHOME/bin/pmemd.cuda"
If you do not see " arch = sm_20" in your output, then likely this
is the reason.....
Solutions: 1. Use nvcc 7.5 to compile AMBER; or 2. Run on a newer
GPU (w/ sm>30). You can go to
https://developer.nvidia.com/cuda-gpus to
check the sm version of your GPU.
Taisung
-----Original Message-----
From: Ercig Bogac (BIOCH) [mailto:b.ercig.maastrichtuniversity.nl]
Sent: Thursday, November 23, 2017 8:30 AM
To: amber.ambermd.org
Subject: [AMBER] cudaGetDeviceCount failed unknown error
Dear all,
I am trying to install Amber16 to my computer with the CUDA support. All
steps of the installation went without any errors.
I have used ./configure -cuda gnu
Then make install
But when I try the make test , I get the following error.
cudaGetDeviceCount failed unknown error
0 file comparisons passed
0 file comparisons failed
333 tests experienced errors
I cant find any solutions on internet. I have seen one entry on the mail
list, but there was no solution for this case. I have updated my driver and
reinstalled cuda but it did not changed anything.
Here is what I obtain from nvidia-smi
Thu Nov 23 14:27:12 2017
+---------------------------------------------------------------------------
--+
| NVIDIA-SMI 384.81 Driver Version: 384.81
|
|-------------------------------+----------------------+--------------------
--+
| 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 C2075 Off | 00000000:01:00.0 On |
Off |
| 30% 57C P12 34W / N/A | 470MiB / 6066MiB | 9%
Default |
+-------------------------------+----------------------+--------------------
--+
+---------------------------------------------------------------------------
--+
| Processes: GPU
Memory |
| GPU PID Type Process name Usage
|
|===========================================================================
==|
| No running processes found
|
+---------------------------------------------------------------------------
--+
And the nvcc -v
nvcc warning : The 'compute_20', 'sm_20', and 'sm_21' architectures are
deprecated, and may be removed in a future release (Use
-Wno-deprecated-gpu-targets to suppress warning).
nvcc fatal : No input files specified; use option --help for more
information
I am looking forward to hear your help
Best regards
Bogac Ercig
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Received on Thu Nov 23 2017 - 14:30:03 PST
