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