ng
Indian Institute of Technology Kharagpur
West Bengal
India
Message: 4
Date: Sun, 10 Dec 2017 09:01:59 +0530
From: Phanikumar Pentyala <phani12.c...@gmail.com>
Subject: [Pw_forum] QE-GPU performance
To: PWSCF Forum <pw_forum@pwscf.org>
Message-ID:
<caoglyhh
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,
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
On Sat, Sep 23, 2017 at 12:42 PM, Phanikumar Pentyala <
phani12.c...@gmail.com> wrote:
I mean final conclusion was that.
>
no it wasn't. It was a different error for a different version of the code
run on different hardware and a different compiler
--
Paolo Giannozzi, Dip. Scienze Matematiche
Sorry Prof. Paolo
, I mean final conclusion was that. Can you please explain me what was the
solution for my problem?
Thank you
Regards
Phanikumar
Message: 6
> Date: Fri, 22 Sep 2017 23:00:09 +0530
> From: Phanikumar Pentyala <phani12.c...@gmail.com>
> Subject: [Pw_foru
On Fri, Sep 22, 2017 at 7:30 PM, Phanikumar Pentyala wrote:
In the previous thread (link) Prof. Paolo Giannozzi told that it's because
> of intel compilers problem and solution for this was linking of local blas.
>
“I really didn’t say everything I said”(Yogi Berra)
--
Dear QE users
I am working on improving properties of doped metal oxides. Installation of
QE-GPU-5.4.0 was done without any errors then I am trying to optimize my
structure (CeO2). After successfully submission of my calculations, either
I am reaching to a stage with *oscillations of total energy
Em 19-09-2017 17:09, Paolo Giannozzi escreveu:
> Are there any plans by other compilers to support CUDA Fortran ... ?
I see. Thanks Paolo.
Filippo, would you please elaborate on the reasons to choose CUDA
Fortran instead of, say, OpenACC?
TIA,
Fabricio
Dear Stefano,
We have very recently published a set of benchmark structures for PWSCF that
span many different atoms and structure types. You can find it here:
http://theossrv1.epfl.ch/Main/QuantumESPRESSO
You may also be interested in checking out the SIRIUS project. It is an effort
to build
Are there any plans by other compilers to support CUDA Fortran ... ?
On Tue, Sep 19, 2017 at 4:53 PM, fabricio wrote:
> Em 19-09-2017 07:46, Paolo Giannozzi escreveu:
> > The page is 6 years old, but the link "download page" leads to a page
> > that is one month old and
Em 19-09-2017 07:46, Paolo Giannozzi escreveu:
> The page is 6 years old, but the link "download page" leads to a page
> that is one month old and that contains a link to a git repository that
> is 13 hours old: https://github.com/RSE-Cambridge/qe-gpu/
>
> Paolo
Is there a plan to (eventually)
Hi
thank you to all , I try and report back to you, there is a standard
tool to run a benchmark?
Stefano
Il giorno mar, 19/09/2017 alle 06.52 -0400, Axel Kohlmeyer ha scritto:
> On Tue, Sep 19, 2017 at 6:05 AM, Stefano Prina com> wrote:
> > Hi
> >
> > I'm looking for
On Tue, Sep 19, 2017 at 6:05 AM, Stefano Prina wrote:
> Hi
>
> I'm looking for confirmation that qe-6.1 version has not already
> released whit gpu support.
>
> Where should I look for this info ? ( http://www.quantum-espresso.org/
> news/gpgpu/ this poage is 2011 old
The page is 6 years old, but the link "download page" leads to a page that
is one month old and that contains a link to a git repository that is 13
hours old: https://github.com/RSE-Cambridge/qe-gpu/
Paolo
On Tue, Sep 19, 2017 at 12:05 PM, Stefano Prina
wrote:
> Hi
>
Hi
I'm looking for confirmation that qe-6.1 version has not already
released whit gpu support.
Where should I look for this info ? ( http://www.quantum-espresso.org/
news/gpgpu/ this poage is 2011 old 0: ) )
I would compile qe-gpu for this gpu :
GP102 [GeForce GTX 1080 Ti]
is this hw
Hello QE users
I have single server attached with two gpu accelerators (details mentioned
below). Currently I am in stage of submitting calculations, So I want to
ask some questions regarding that
1. I want to control usage of GPU accelerators, with usage of some GPU
cores or one GPU device at
Hello,
Well, my card is actually GTX1060 but I didn't bought it especially for
calculations.
Just from my built-in curiosity, and I know the game is not worth the
candle, I want try to run it anyway and close that 'chapter' of my life
:) I will post here some tests results - as I was
On Dec 30, 2016, at 3:48 AM, Oliver Generalao
wrote:
> The only catch, which Mr Spiga always points out, is that the DP performance
> on GTX cards is very slow , which is like 1/32 (or 1/24) of the Single
> Precision
So GTX 1070 is not worth using. A little bit
Hello Oliver,
Many thanks for quick response. According to Your post it seems that You
know well what to change and where to do those changes. Could You please
provide more informations? Maybe something more specific?
Konrad
W dniu 30.12.2016 o 04:48, Oliver Generalao pisze:
> Hi Konrad,
>
>
Hi Konrad,
Nvidia GTX 1060 is sm_61 and per https://github.com/fspiga/QE-GPU, it
supports up to sm_60, based on my experience QE-GPU will compile with
sm_61 however when you run pw-gpu.x it will throw errors, hence there
should be a slight modification on the QE-GPU source code to include
sm_61,
Hi Konrad,
My experience with QE-GPU is that it works only with double precision
supported GPUs but not single precision.
I am using TitanZ and Intel compiler, it works fast. Here is my ./configure
./configure CC=icc F90=ifort F77=ifort MPIF90=mpiifort --enable-parallel
--disable-openmp
Deer community,
Recently I'm trying to compile and run QE-GPU version on my new Cuda
capable card. Unfortunately after many attempts the result is poor.
I have Nvidia GTX 1060 (with Pascal architecture, 1280 cuda units). I've
managed to compile GPU PWSCF with sm_60 (pascal) support but when
Finally I installed software and libraries you suggested (*openmpi, FFTW,
Intel® math kernel library (MKL) library*)
>From my server architecture and GPU configuration, what you suggest the
best choice for algebra libraries
*ScaLAPACK or MAGMA?*
Thanks in advance
Regards
Phanikumar
On
On Dec 6, 2016, at 4:50 AM, Phanikumar Pentyala wrote:
> Initially I written my GPU was Tesla K40, but it is not. Actual series name
> was NVIDIA Tesla K40m. Sorry for that, that was my mistake
Not a difference between the two apart the cooling.
> If I try compilation
Here I am attaching my SERVER architecture and GPU device enquiry (text
file)
After whole long day I found some reasons (I don't know whether they are
correct or not ):
Initially I written my GPU was Tesla K40, but it is not. Actual series name
was *NVIDIA Tesla K40m. *Sorry for that, that was
On Dec 5, 2016, at 2:11 PM, Phanikumar Pentyala wrote:
> After change the compilation command: ./configure --enable-parallel
> --enable-openmp --with-scalapack --enable-cuda --with-gpu-arch=sm_35
> --with-cuda-dir=/usr/local/cuda-8.0/bin --without-magma --with-phigemm
Thank you for quick reply
So I downloaded QE-GPU version 5.4 and updated my CUDA version to 8.0.
After change the compilation command: *./configure --enable-parallel
--enable-openmp --with-scalapack --enable-cuda --with-gpu-arch=sm_35
--with-cuda-dir=/usr/local/cuda-8.0/bin --without-magma
Dear Phanikumar,
upgrade to QE v5.4 and upgrade to the latest QE-GPU from GIT
(https://github.com/fspiga/QE-GPU/archive/5.4.tar.gz). I've just create a tag
to simplify checkout operations).
Moreover you want to use MAGMA if you do not use ScaLAPACK. if you disable
both, most likely you will
Hello QE users
I am trying to install QE-GPU-14.10.0 in my server (details below). while
configuration it's not generating files and showing some error
(config.status: error: cannot find input file: ../include/fft_defs.h.in). I
am new to linux OS, please help me for successful installation of GPU
Of Gunnar Palsson
Sent: 2016年5月11日 22:16
To: pw_forum@pwscf.org
Subject: [Pw_forum] [QE-GPU] Maxwell architecture
Dear all,
We have 2x NVIDIA QUADRO M5000 8 GB and 2x INTEL XEON E5-2699-V3 16 cores
running on ubuntu 16.04. I have managed to install the binary nvidia driver,
the NVIDIA CUDA
Hello Gunnar,
On May 11, 2016, at 4:15 PM, Gunnar Palsson wrote:
> My question is: Is there a way to compile QE-GPU with the Maxwell
> architecture and if so how? I read on the forum that unfortunately the
> Maxwell architecture does not do double precision very well.
Dear all,
We have 2x NVIDIA QUADRO M5000 8 GB and 2x INTEL XEON E5-2699-V3 16 cores
running on ubuntu 16.04. I have managed to install the binary nvidia driver,
the NVIDIA CUDA toolkit 7.5 and compiled quantum espresso 5.4.0 successfully
with intel MKL. I seem to have also been able to compile
Dear James,
did you make sure to clean everything before move from CUDA 5.5 to CUDA 6.5?
Meaning:
$ make -f Makefile.gpu distclean
and re-run the configure from GPU/ folder. What happen if you disable MAGMA?
Does it compile?
--
Mr. Filippo SPIGA, M.Sc.
Quantum ESPRESSO Foundation
CLASSIFICATION: UNCLASSIFIED
Hi,
I'm trying to compile QE-GPU-5.3.0 on a 64-bit SUSE Linux Sever 11.3 Dell
node. I'm compiling with gcc/4.8.1 with cudatoolkit/6.5.14-1.0502.9613.6.1. I
have successfully compiled QE-GPU-5.3.0 with cudatoolkit/5.5.22-1.0502.7944.3.1
before, but that version
I identified where the problem comes from, I can apply a patch to the next
QE-GPU release that will be out this weekend.
I will send you a separate file for QE 14.10.
--
Mr. Filippo SPIGA, M.Sc.
http://fspiga.github.io ~ skype: filippo.spiga
«Nobody will drive us out of Cantor's paradise.» ~
Hello Filippo,
Just like to confirm which version of driver should I installed for K80
with CUDA 6.5?
With C2050, I have 340.65 and it works.
Not sure about K80? Thank you!
Regards,
Rolly
On 01/09/2016 06:00 PM, Filippo Spiga wrote:
> Hello Rolly,
>
> Please try to use
Hello Filippo,
Thank you!
That was what I did, I configure it with
./configure CC=icc F90=ifort F77=ifort MPIF90=mpiifort \
--enable-parallel --disable-openmp --without-scalapack \
--enable-cuda --with-gpu-arch=sm_35 --with-cuda-dir=/usr/local/cuda-6.5 \
--with-magma --with-phigemm \
Hello Rolly,
Please try to use "--with-gpu-arch=sm_35", compute capability 3.5 is supported
for K80. I do not recall I added explicit support for 3.7 in QE-GPU. From an
optimization perspective, I can guarantee there is nothing in the code that
leverage K80 better than any other NVIDIA GPU
Dear QE-GPU developers,
I am testing the latest NV K80 for QE-GPU, and the test bed has 4x K80,
total of 8 GPU cores.
I was successful using QE-GPU on C2050 with sm_20, but the K80 comes
with sm_37.
I have cuda-6.5 installed and I am using QEv5.2.0 + QE-GPUv14.10.0
complied okay. However,
Dear Filippo,
I am able to compile the pw-gpu.x finally and I am able to run all the 8x
C2050 GPU cards with the AUSURF112 benchmark. I have just aware that
although I have ifort, gfortran is also needed for the MAGMA package.
I found the performance enhancement is about 2.7 times comparing to
Dear Filippo and Developers,
Further update to my problem on compiling the QE-GPU 14.10.0 on a standalone
GPU server with 8x Tesla C2050s.
I used
./configure CC=icc F90=ifort F77=ifort MPIF90=mpiifort \
--enable-parallel --disable-openmp --without-scalapack \
--enable-cuda --with-gpu-arch=sm_20
Dear Filippo,
Please forgive me of replying to myself.
I found the solution to by adding the LDFLAGS,
./configure CC=icc F90=ifort F77=ifort MPIF90=mpiifort \
--enable-parallel --disable-openmp --without-scalapack \
--enable-cuda --with-gpu-arch=sm_20 --with-cuda-dir=/usr/local/cuda-6.5 \
Dear Filippo,
I just realized that MAGMA was not installed on my server, so I get a copy of
that from
http://icl.cs.utk.edu/projectsfiles/magma/downloads/magma-1.7.0-b.tar.gz
I found that it creates,
/usr/local/magma/include
/usr/local/magma/lib
and I suppose this is completed.
So, I go to the
The binary that uses GPU is located under GPU/PW/pw-gpu.x
Try ldd
$ GPU/PW/pw-gpu.x
you will spot CUDA library dependencies sing that the binary need GPU libraries
and so will use GPUs.
--
Mr. Filippo SPIGA, M.Sc.
http://fspiga.github.io ~ skype: filippo.spiga
«Nobody will drive us out of
Dear Filippo,
Apologies for my mistake, my input command was incorrect, now it runs with
mpirun -genvall -np 8 ./pw.x -inp ~/QE520/AUSURF112/ausurf.in |tee
~/QE520/AUSURF112/ausurf.out
I see it takes about 26G of RAM and 8 instants of pw.x is running with 'top'.
However, I check with
artment of Physics and Materials Science,
City University of Hong Kong
Tel: +852 3442 4000
Fax:+852 3442 0538
-Original Message-
From: pw_forum-boun...@pwscf.org [mailto:pw_forum-boun...@pwscf.org] On Behalf
Of Filippo Spiga
Sent: 2015年10月29日 6:26
To: PWSCF Forum
Subject: Re: [Pw_forum] QE-GPU
On Oct 28, 2015, at 10:36 AM, Dr. NG Siu Pang wrote:
> I would like to run GPU on the examples in PW/examples. How can I do that?
> Should I modify the run_all_examples script?
it will work out of the box if you run mpirun correctly. You need to play with
the scripts.
-boun...@pwscf.org] On Behalf
Of Filippo Spiga
Sent: 2015年10月28日 16:19
To: PWSCF Forum
Subject: Re: [Pw_forum] QE-GPU 14.10.0 with intel compliers
On Oct 27, 2015, at 5:29 PM, Dr. NG Siu Pang <roll...@cityu.edu.hk> wrote:
> I used ./configure CC=icc F90=ifort F77=ifort MPIF90=mpiifort
>
On Oct 27, 2015, at 5:29 PM, Dr. NG Siu Pang wrote:
> I used ./configure CC=icc F90=ifort F77=ifort MPIF90=mpiifort
> ./PW/tests/check-pw.x.j runs all okay
Weird, in another email you said it was not working.
> I have copied GPU to the espresso-5.2.0 folder and I noticed
and Materials Science,
> City University of Hong Kong
> Tel: +852 3442 4000
> Fax:+852 3442 0538
>
> From: pw_forum-boun...@pwscf.org [mailto:pw_forum-boun...@pwscf.org] On
> Behalf Of Paolo Giannozzi
> Sent: 2015年10月27日 18:12
> To: PWSCF Forum
> Subject:
Dear Filippo,
I have the intel compliers installed on my server, with QE-5.2.0 I am able to
configure and make without issues.
I used ./configure CC=icc F90=ifort F77=ifort MPIF90=mpiifort
./PW/tests/check-pw.x.j runs all okay
I have copied GPU to the espresso-5.2.0 folder and I noticed that
538
From: pw_forum-boun...@pwscf.org [mailto:pw_forum-boun...@pwscf.org] On Behalf
Of Paolo Giannozzi
Sent: 2015年10月27日 18:12
To: PWSCF Forum
Subject: Re: [Pw_forum] QE-GPU installation help
On Tue, Oct 27, 2015 at 10:45 AM, Dr. NG Siu Pang
<roll...@cityu.edu.hk<mailto:roll...@cityu.edu.h
On Tue, Oct 27, 2015 at 10:45 AM, Dr. NG Siu Pang
wrote:
>
> Are these 2 comes with MKL?
yes
> How can I tell QE to use the LAPACK_LIBS and FFT_LIBS from MKL?
>
you don't need to do anything
Paolo
--
Paolo Giannozzi, Dept. Chemistry,
Univ. Udine, via delle Scienze
and
FFT_LIBS from MKL?
Thanks,
Rolly
-Original Message-
From: pw_forum-boun...@pwscf.org [mailto:pw_forum-boun...@pwscf.org] On Behalf
Of Dr. NG Siu Pang
Sent: 2015年10月27日 17:00
To: PWSCF Forum
Subject: Re: [Pw_forum] QE-GPU installation help
Dear Filippo,
Thank you very much
s=''
mpi_line=''
mpif90='mpif90'
oldincludedir='/usr/include'
parallel_report=''
pdfdir='${docdir}'
pre_fdflags=''
prefix='NONE'
program_transform_name='s,x,x,'
psdir='${docdir}'
ranlib=''
sbindir='${exec_prefix}/sbin'
scalapack_libs=''
scalapack_line=''
sharedstatedir='${prefix}/com'
sysconfdi
Dear Rolly,
GCC is fine, you do not need Intel compilers if you do not have a license. MKL
is preferable.
C2050 are quite old cards, I am not running or testing that GPU architecture
since at least beginning 2014 and because of the current trends in CPU and GPU
architecture this old
Dear all,
I would like to test the GPU acceleration on QE and we have a server with 8x
C2050 GPU cards running OpenSuSE 12.3.
I have searched https://github.com/fspiga/QE-GPU, but I found that the latest
QE-GPU 14.10.0 is designed for QE 5.1. Since QE-GPU 14.10.0 was dated back to
2014, I am
Dear Mohammed,
please next time use you institutional email address or, at least, do write
from which institution you come from.
Try to use Intel MKL or ATLAS (that may require manual changes in the make.sys)
or OpenBLAS (this may require as well manual changes in the make.sys). Once you
are
On Jun 17, 2015, at 1:18 PM, nihal...@iitk.ac.in wrote:
> I am trying to run QE-GPU with CUDA 7.0.
QE-GPU is not tested for CUDA 7.0. It will probably compile but I haven't done
any validation using the latest driver and the latest SDK.
> I have 3 GPU on my system, but i am want to run it on
Dear QE users
I am trying to run QE-GPU with CUDA 7.0. My code runs fine when i run it
with one mpi process, but when i try it to run with 2 or 3 mpi processes,
it gives me the following error
[newd_cuda_v1.cu:205] qecudaGetLastError() error : kernel
kernel_compute_qgm_na launch failure :
Dear Anubhav,
run in parallel, 2 MPI and make sure CUDA_VISIBLE_DEVICES is set such
MPI rank 0 -> GPU id 1 (K20)
MPI rank 1 -> GPU id 2 (K20)
Those K20 GPU are active cooled cards, how many sockets this server (or
workstation?) have?
F
> On Jun 13, 2015, at 11:08 AM, Anubhav Kumar
Dear QE users
I have configured qe-gpu 14.10.0 with espresso-5.1.2.Parallel compilation
was successful, but when i run ./pw-gpu.x it gives the following output
***WARNING: unbalanced configuration (1 MPI per node, 3 GPUs per node)
Dear Filippo
Thank you very much for your reply.I have compiled qe-gpu 14.10.0 with
espresso-5.1.2 successfully(only serial).When i give the following
command,it shows
anubhav@priyank-ThinkStation:~/Downloads/espresso-5.1.2/GPU/PW$ ./pw-gpu.x
Dear Trinh,
as reported in the README file, QE-GPU is a "plugin-like" type or package. A
patch needs to be applied to QE old versions based on the combination QE &
QE-GPU. It sounds obvious to me (but I will make the statement clear in the
future release) that if you are using QE 5.1.2 and
Dear PWSCF users,
As far as we can see, the GPU version of espresso (QE-GPU) is a patch. Coming
with the espresso-5.1.2, there is a version of GPU patch named v14.06.0. This
v14.06 does not match the espresso-5.1.2. Download the latest version of QE-GPU
(14.10.0), and we see that this QE-GPU
Dear Anubhav,
make sure you clean properly before re-run configure and make
make -f Makefile.gpu distclean
./configure ...
make -f Makefile.gpu pw-gpu
F
On May 27, 2015, at 8:54 AM, kanub...@iitk.ac.in wrote:
> Dear QE users
>
> I was configuring qe-gpu 14.10.0 with espresso-5.1.2 on ubuntu
Dear QE users
I was configuring qe-gpu 14.10.0 with espresso-5.1.2 on ubuntu 14.04
.Serial Configuration was successful, but when i run makefile, it gives me
the following error
/usr/bin/ld:
/home/anubhav/Downloads/espresso-5.1.2/GPU/..//qe-magma/lib/libmagma.a(ztrevc3_mt.o):
undefined
Dear users
I am getting the following error while compiling qe-gpu qe-gpu 14.10.0 with
espresso-5.1.2 on ubuntu 14.04.
/usr/bin/ld: /home/mool/espresso-GPU/GPU/..//BLAS/blas.a(sgemm.o): relocation
R_X86_64_32 against `.rodata' can not be used when making a shared object;
recompile with -fPIC
Dear kanubhav(?),
(Please name and affiliation)
MKL is a commercial product from Intel; it is searched because it is
expected to provide more or less the best efficiency. If you do not
have access to it (a campus license for example), other possibilities to
obtain optimised libraries
Dear QE users
I was configuring qe-gpu 14.10.0 with espresso-5.1.2 on ubuntu 14.04
.Serial Configuration was successful, however i am getting the following
checking for library containing dgemm... no
MKL not found
checking for none/libacml_mp.a... no
in /opt/intel/Compiler/*/*/mkl/lib/em64t:
Dear Anubhav Kumar,
this is a problem of your system, please check GCC/GFORTRAN are installed and
Ubuntu 14.04 does not use weird default names for C compiler. Moreover try to
compile the CUDA SDK example to see if CUDA is installed properly in the system.
FYI, QE-GPU 14.xx is not tested (yet)
Dear Sir
I was configuring qe-gpu 14.10.0 with espresso-5.1.2 and cuda 7.0 on
ubuntu 14.04 .Serial Configuration was successful, but on giving the
command 'make -f Makefile.gpu pw-gpu' i am getting the following error
ccbin gcc -O3 --compiler-options '-c -fPIC -fopenmp'
Dear I-do-not-know-your-name,
the suggestion is to remove both packages, check permission of your directories
and re-download them. Based on the little information provided, it looks like a
unix/system problem and not a QE/QE-GPU problem.
HTH
F
On May 14, 2015, at 6:48 AM, kanub...@iitk.ac.in
Dear Sir,
I was configuring qe-gpu 14.10.0 with espresso-5.1.2 on ubuntu 14.04.I am
getting the following error- "./configure: line 51: ./install/configure:
Permission denied"
Please suggest me a way to configure it properly.
___
Pw_forum mailing list
Dear H.Benaissa,
with a manual hack the code will compile and run but Maxwell cards have poor
double precision support. Assuming that you will not hit constrains due to
limited about of memory on the card, I doubt you will see any acceleration.
My suggestion is to run using a TESLA computing
Hi,
can we use a graphic card of 5.2 compute capability to run QE-GPU calculation
thank you in advance
___
Pw_forum mailing list
Pw_forum@pwscf.org
http://pwscf.org/mailman/listinfo/pw_forum
Dear Yelena,
On Dec 30, 2014, at 9:12 PM, yelena wrote:
> Just to be sure, QE-GPU supports only up to 3.5 architecture?
QE fully supports 2.x and 3.x. Compute capability 1.3 may still work but there
are not that much cards around, consider it deprecated. Compute Capability
Hello!
This is question for Filippo and everyone involved in development of
QE-GPU version.
Just to be sure, QE-GPU supports only up to 3.5 architecture?
I've recently had opportunity to test some new nvidia cards (5.0 and
5.2) but as I've tried to compile QE i've saw it is not supported.
Is
Mohammad,
is /usrl/local/lib64 in LD_LIBRARY_PATH? Did you specify the option
"--with-cuda-dir=/usr/local" when you run configure from GPU folder?
This mailing-list is for problem related to Quantum ESPRESSO, not your linux
installation. Make sure your environment is set correctly before
Dear Filippo,
The graphic card driver (NVIDIA) had been installed. Then I followed these
steps to install CUDA:
chmod +x ./NVIDIA_CUDA_Toolkit_2.0_rhel5.1_x86_64.run*
su -c './NVIDIA_CUDA_Toolkit_2.0_rhel5.1_x86_64.run*'
Now, there is a CUDA folder under /user/local , containing:
bin doc
Dear Mohamad,
did you have CUDA installed under /usr/local or /lib64 ? Anyway, libcuda*.so
are not found in LD_LIBRARY_PATH, be sure you pass the right location where you
installed the CUDA SDK.
HTH
Cheers,
F
> On Dec 29, 2014, at 11:18 AM, Mohamad Moadeli
>
Dear all,
I am trying to compile QE-GPU (5.0.2). Here is the make.sys file:
# make.sys. Generated from make.sys.in by configure.
# compilation rules
.SUFFIXES :
.SUFFIXES : .o .c
Dear Wenzhong,
you are probably using an old python. Try 2.4.x or later, it should work.
F
> On Nov 12, 2014, at 12:53 PM, wz30...@mail.ustc.edu.cn wrote:
>
>
> Hi all,
> > I tried to install QE-GPU with the guide file but error happened like
> > this:
> > Traceback (most recent call last):
>
Hi all,
> I tried to install QE-GPU with the guide file but error happened like
> this:
> Traceback (most recent call last):
>
> File "./GPU/scripts/addPhigemmSymbs.py", line 69, in ?
>
> exit()
>
> TypeError: 'str' object is not callable
>
> So what should I do?
Best,
Wenzhong
--
On Oct 30, 2014, at 5:10 PM, Mateus José Fernandes Martins
wrote:
> I install gcc-4.4 and change in make_magma.inc.in this name.
Including gfortran?
Let's continue offline at this point. It is very difficult for me to understand
your problem when I have no clear with
Hi Filippo.
I install gcc-4.4 and change in make_magma.inc.in this name.
The same error is showed.
I'm almost giving up... :-(
2014-10-30 14:09 GMT-02:00 Filippo Spiga :
> Dear Mateus,
>
> On Oct 30, 2014, at 3:59 PM, Mateus José Fernandes Martins <
>
Dear Mateus,
On Oct 30, 2014, at 3:59 PM, Mateus José Fernandes Martins
wrote:
> gcc (Ubuntu 4.8.2-19ubuntu1) 4.8.2
> Copyright (C) 2013 Free Software Foundation, Inc.
> This is free software; see the source for copying conditions. There is NO
> warranty; not even for
gcc (Ubuntu 4.8.2-19ubuntu1) 4.8.2
Copyright (C) 2013 Free Software Foundation, Inc.
This is free software; see the source for copying conditions. There is NO
warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
Bu, in make.sys, the variable CC is icc.
2014-10-30 13:06
Which GCC have you installed on this system?
$ gcc --version
F
On Oct 30, 2014, at 12:05 PM, Mateus José Fernandes Martins
wrote:
>
> Ok, the error is gone. But, the error is
>
>
Ok, the error is gone. But, the error is
Please try 14.03, tell me if the problem persists.
F
> On Oct 29, 2014, at 6:34 PM, Mateus José Fernandes Martins
> wrote:
>
> Now, I try with espresso-5.0.3 and the result was the same error.
>
> 2014-10-29 14:13 GMT-02:00 Filippo Spiga :
>
Now, I try with espresso-5.0.3 and the result was the same error.
2014-10-29 14:13 GMT-02:00 Filippo Spiga :
> Which version of QE are you using? Which version of QE-GPU?
>
> F
>
> > On Oct 29, 2014, at 2:58 PM, Mateus José Fernandes Martins <
> mjfmart...@ice.ufjf.br>
The Quantum-Espresso version is 5.0.2 and the QE-GPU is 14.10.04.
2014-10-29 14:13 GMT-02:00 Filippo Spiga :
> Which version of QE are you using? Which version of QE-GPU?
>
> F
>
> > On Oct 29, 2014, at 2:58 PM, Mateus José Fernandes Martins <
> mjfmart...@ice.ufjf.br>
Which version of QE are you using? Which version of QE-GPU?
F
> On Oct 29, 2014, at 2:58 PM, Mateus José Fernandes Martins
> wrote:
>
> Hello QE-users,
>
> I am trying to compile the Quantum-Espresso with the GPU, following the
> script mentioned in this page:
Hello QE-users,
I am trying to compile the Quantum-Espresso with the GPU, following the
script mentioned in this page: https://github.com/fspiga/QE-GPU. But, the
command "make -f pw-gpu Makefile.gpu", after a few minutes of compilation,
generates this error:
Dear all,
QE-GPU v14.10.0 has been released! Relevant information are in README and
RELEASE_NOTES. There is also a small survey open to all users, I invite
everybody to participate (link in GPU/README, it requires 5 minutes of your
time). As usual, I recommend to migrate to the latest QE
Thank you very much Filippo!!
On Sat, Sep 27, 2014 at 11:05 PM, Filippo Spiga
wrote:
> Dear Esteban,
>
> On Sep 28, 2014, at 2:58 AM, Esteban Ribadeneira Paz
> wrote:
> > - Cuda-Tools: Cuda-5.5 Is it possible to employ Cuda-6.0 or Cuda-6.5?
>
> I recommend CUDA 6.0 at the moment, no CUDA
On Sep 28, 2014, at 4:49 PM, Uri Argaman wrote:
> 1. You write that there is no benefit in using GPU with small systems (less
> than 40-50 atoms). What about phonon calculations?
You are not the first one asking about PHonon and I can tell you will be all
pleased at some point in time. I am
Dear Esteban,
On Sep 28, 2014, at 2:58 AM, Esteban Ribadeneira Paz
wrote:
> - Cuda-Tools: Cuda-5.5 Is it possible to employ Cuda-6.0 or Cuda-6.5?
I recommend CUDA 6.0 at the moment, no CUDA 6.5. CUDA 5.5 is good as well.
> - Is it necessary to install previously common QEspresso or could I
Dear Filippo Spiga
Thank you very much for you response.
1. You write that there is no benefit in using GPU with small systems (less
than 40-50 atoms). What about phonon calculations?
2. We want to do a much more complicated calculation but we do not succeed
even with the very simple we write
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