Dear Phanikumar,
Please include your affiliation when posting to the forum.
In my experience with QE-GPU v5.3.0 and v5.4.0, the working combination
of software is,
1) Intel PSXE 2017
2) CUDA 6.5 or 7.0
3) Centos 7.1
Please try the above combination.
Regards,
Rolly
PhD. Research Fellow,
Dept. of Physics & Materials Science,
City University of Hong Kong
Tel: +852 3442 4000
Fax: +852 3442 0538
On 12/10/2017 11:31 AM, Phanikumar Pentyala wrote:
Dear users and developers
Currently I am using two Tesla K40m cards for my computational work on
quantum espresso (QE). My GPU enabled QE code running very slower than
normal version. My question was weather particular application will be
fast only in some versions of CUDA toolkit? (as mentioned in previous
post: http://qe-forge.org/pipermail/pw_forum/2015-May/106889.html) OR
is there any other reason hindering performance (memory) of GPU? (when
I am hitting top command in my server, option of 'VIRT' showing
different values (top command pasted in attached file))
Some error was generating while submitting code that "A
high-performance Open MPI point-to-point messaging module was unable
to find any relevant network interfaces: Module: OpenFabrics (openib)
Host: XXXX Another transport will be used instead, although this may
result in lower performance". Is this MPI thread hindering GPU
performance ?
(P.S: We don't have any Infiband adapter HCA in server)
Current details of server are (full details attached):
Server: FUJITSU PRIMERGY RX2540 M2
CUDA version: 9.0
NVIDIA driver: 384.9
openmpi version: 2.0.4 with intel mkl libraries
QE-gpu version : 5.4.0
Thanks in advance
Regards
Phanikumar
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