thanks

i can run first example :

~/paramSets/lwfa$ tbg -s bash -c submit/0001gpus.cfg -t submit/bash/bash_mpirun.tpl ~/runs/lwfa
Running program...
tbg/submit.start: line 37: /home/manzoor/picongpu.profile: No such file or directory
 Data for JOB [64751,1] offset 0

 ========================   JOB MAP   ========================

 Data for node: manzoor-gpu    Num slots: 4    Max slots: 0    Num procs: 1
     Process OMPI jobid: [64751,1] App: 0 Process rank: 0

 =============================================================
 Data for JOB [64762,1] offset 0

 ========================   JOB MAP   ========================

 Data for node: manzoor-gpu    Num slots: 4    Max slots: 0    Num procs: 1
     Process OMPI jobid: [64762,1] App: 0 Process rank: 0

 =============================================================
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | Sliding Window is OFF
[1,0]<stdout>:mem for particles=1078 MiB = 142315 Frames = 36432640 Particles
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | max weighting 6955.06
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | Courant c*dt <= 1.74147 ? 1
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | omega_pe * dt <= 0.1 ? 0.0142719
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | y-cells per wavelength: 18.0587
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | macro particles per gpu: 8388608
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | typical macro particle weighting: 6955.06
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | UNIT_SPEED 2.99792e+08
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | UNIT_TIME 8e-17
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | UNIT_LENGTH 2.39834e-08
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | UNIT_MASS 6.33563e-27
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | UNIT_CHARGE 1.11432e-15
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | UNIT_EFIELD 2.13064e+13
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | UNIT_BFIELD 71070.4
[1,0]<stdout>:PIConGPUVerbose PHYSICS(1) | UNIT_ENERGY 5.69418e-10

i think my run in single core with single gpu.
can i run multi cpu with single gpu?

thanks a lot

manzoor

On Thu, Aug 6, 2015 at 4:03 PM, k.manzoorolajdad <kazem.manzoor@gmail.com> wrote:

thanks Mr.Huebl

i use ubuntu 14.04

cuda 6.0

and install requirements:

sudo apt-get install build-essential cmake file cmake-curses-gui libopenmpi-dev zlib1g-dev libboost-program-options-dev libboost-regex-dev libboost-filesystem-dev libboost-system-dev git

git clone https://github.com/ComputationalRadiationPhysics/picongpu.git $HOME/src/picongpu


export PICSRC=$HOME/src/picongpu

pngwriter >= 0.5.5

mkdir -p ~/src ~/build ~/lib
git clone https://github.com/pngwriter/pngwriter.git ~/src/pngwriter/

cd ~/build
cmake -DCMAKE_INSTALL_PREFIX=~/lib/pngwriter ~/src/pngwriter
manzoor@manzoor-gpu:~/build$ make install
Scanning dependencies of target pngwriter_static
[ 16%] Building CXX object CMakeFiles/pngwriter_static.dir/src/pngwriter.cc.o
Linking CXX static library libpngwriter.a
[ 16%] Built target pngwriter_static
Scanning dependencies of target blackwhite
[ 33%] Building CXX object CMakeFiles/blackwhite.dir/tests/blackwhite.cc.o
Linking CXX executable blackwhite
[ 33%] Built target blackwhite
Scanning dependencies of target diamond
[ 50%] Building CXX object CMakeFiles/diamond.dir/tests/diamond.cc.o
Linking CXX executable diamond
[ 50%] Built target diamond
Scanning dependencies of target lyapunov
[ 66%] Building CXX object CMakeFiles/lyapunov.dir/examples/lyapunov.cc.o
Linking CXX executable lyapunov
[ 66%] Built target lyapunov
Scanning dependencies of target pngtest
[ 83%] Building CXX object CMakeFiles/pngtest.dir/examples/pngtest.cc.o
Linking CXX executable pngtest
[ 83%] Built target pngtest
Scanning dependencies of target pngwriter
[100%] Building CXX object CMakeFiles/pngwriter.dir/src/pngwriter.cc.o
Linking CXX shared library libpngwriter.so
[100%] Built target pngwriter
Install the project...
-- Install configuration: ""
-- Installing: /home/manzoor/lib/pngwriter/lib/libpngwriter.so
-- Installing: /home/manzoor/lib/pngwriter/lib/libpngwriter.a
-- Installing: /home/manzoor/lib/pngwriter/include/pngwriter.h

export CUDA_ROOT=/usr/local/cuda-6.0/
export MPI_ROOT=/usr/local/
export PATH=$PATH:$HOME/src/picongpu/src/tools/bin
export PNGWRITER_ROOT=$HOME/lib/pngwriter

mkdir -p ~/src ~/build ~/paramSets ~/runs

~/src/picongpu/createParameterSet ~/src/picongpu/examples/LaserWakefield/ paramSets/lwfa/

cd build/

manzoor@manzoor-gpu:~/build$ ~/src/picongpu/configure -a sm_30 ../paramSets/lwfa
cmake command: cmake -DCUDA_ARCH=sm_20 -DCMAKE_INSTALL_PREFIX=../paramSets/lwfa -DPIC_EXTENSION_PATH=../paramSets/lwfa  -DCUDA_ARCH=sm_30 /home/manzoor/src/picongpu
CMake Error: The source "/home/manzoor/src/picongpu/CMakeLists.txt" does not match the source "/home/manzoor/src/pngwriter/CMakeLists.txt" used to generate cache.  Re-run cmake with a different source directory.



On Thu, Aug 6, 2015 at 2:07 PM, Huebl, Axel <a.huebl@hzdr.de> wrote:

Dear Manzoor,

welcome to our user list!

The 670 GTX is a Kepler generation card with sm_30 so you are good to go
from the hardware side (we support sm_20 "Fermi" and upward):
  https://developer.nvidia.com/cuda-gpus

We would recommend you to install a linux operation system, the latest
CUDA Toolkit
  https://developer.nvidia.com/cuda-downloads

and the additional required tools and libraries documented here:

https://github.com/ComputationalRadiationPhysics/picongpu/blob/master/doc/INSTALL.md#requirements

They are all pretty standard and most get shipped with packages too,
e.g., in Debian, Ubuntu and Arch. Please read the instructions we
provided in this file carefully.

I also recommend you installing pngwriter as described under "optional"
since it allows an easy check of the output with our png (preview) plugin.

If you installed the requirements, just scroll a bit down in the
INSTALL.md guide and set up a simulation case. This is additionally
documented in a youtube video
  https://www.youtube.com/watch?v=7ybsD8G4Rsk

With the binary compiled, you can set plugins in the case's *.cfg file
when you are at this point. All available options are documented here

https://github.com/ComputationalRadiationPhysics/picongpu/blob/master/doc/TBG_macros.cfg

and in the wiki

https://github.com/ComputationalRadiationPhysics/picongpu/wiki/PIConGPU-Plugins

The tbg template you want to use is "bash_mpirun.tpl" and set to "1 1 1"
GPUs in your ".cfg" file.

For further resources, please continue to read (links below):

 [0] README.md
 [1] doc/INSTALL.md
 [2] our wiki
 [3] doc/TBG_macros.cfg
 [4] closed questions in our issue tracker


If there should pop up problems along the way, feel free to ask again on
the list!


Best regards,
Axel Huebl

[0]
https://github.com/ComputationalRadiationPhysics/picongpu#picongpu---a-many-gpgpu-pic-code
[1]
https://github.com/ComputationalRadiationPhysics/picongpu/blob/master/doc/INSTALL.md
[2] https://github.com/ComputationalRadiationPhysics/picongpu/wiki
[3]
https://github.com/ComputationalRadiationPhysics/picongpu/blob/master/doc/TBG_macros.cfg
[4]
https://github.com/ComputationalRadiationPhysics/picongpu/issues?q=is%3Aissue+label%3Aquestion+is%3Aclosed

On 06.08.2015 11:21, k.manzoorolajdad wrote:
> Hi
> I am new in CUDA andComputational Radiation Physics and want use
> picongpu but don't have gpu cluster.
> I have single GPU (Geforce 670 gtx) and want test and run code.
>
> How can run code in single machine and single gpu?
>
> Thanks
>
> Manzoor
> Ms.student of physic

> Tehran university,Iran

--

Axel Huebl
Phone +49 351 260 3582
https://www.hzdr.de/crp
Computational Radiation Physics
Laser Particle Acceleration Division
Helmholtz-Zentrum Dresden - Rossendorf e.V.

Bautzner Landstrasse 400, 01328 Dresden
POB 510119, D-01314 Dresden
Vorstand: Prof. Dr.Dr.h.c. R. Sauerbrey
          Prof. Dr.Dr.h.c. P. Joehnk
VR 1693 beim Amtsgericht Dresden