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sciGPGPU

Gpu Computing for Scilab
(3620 downloads for this version - 19714 downloads for all versions)
Details
Version
1.1
A more recent valid version with binaries for Scilab exists: 1.2
Authors
Cedric Delamarre
Vincent LEJEUNE, Allan CORNET, Cedric DELAMARRE
Owner Organization
Consortium Scilab
Maintainer
C?dric DELAMARRE
Categories
License
Creation Date
January 25, 2012
Source created on
No source archive has been provided for this toolbox version.
Binaries available on
Scilab 5.3.x:
Linux 64-bit Windows 64-bit Linux 32-bit Windows 32-bit
Install command
--> atomsInstall("sciGPGPU")
Description
            This toolbox provides a gpu computing capabilities at Scilab. 
It uses an implementation of BLAS (cuBLAS) and FFT (cuFFT) through gpuAdd,
gpuMult, gpuFFT and other functions.
This toolbox uses essentially Cuda but some functions, as gpuBuild, have been
created for build and use kernels developed with OpenCL or Cuda.

link to sources : http://forge.scilab.org/index.php/p/sciCuda/

/****** Warning ******/
This version of toolbox don't work with cuda toolkit 4.1            
Files (4)
[7.05 MB]
Linux 64-bit binary for Scilab 5.3.x

[30.04 MB]
Windows 64-bit binary for Scilab 5.3.x

[6.73 MB]
Linux 32-bit binary for Scilab 5.3.x

[30.15 MB]
Windows 32-bit binary for Scilab 5.3.x

News (0)
Comments (3)     Leave a comment 
Comment from Ronadlo de Abreu -- March 12, 2012, 05:51:14 PM    
Hi Cédric, 
my name is Ronaldo de Abreu and I tried to install the sciGPGPU in my personal workstation
computer, but I was unsuccessfull.
My computer has 2 GeForce GTX 560 Ti Graphic Cards, which has a 2.1 Nvidia Compute
Capability. I don't know if there is a incompatibility of sciGPGPU with non professional
graphic cards, so if there it is maybe it could be posted in the initial remarks of the
project.
However, all developer devices are installed but when I type the commmand
atomsInstall('sciGPGPU') the installation seems to be right. The result is 
ans  =
 
!sciGPGPU  1.1-0  allusers  SCI/contrib/sciGPGPU/1.1-0  I  !

 But when I quit Scilab and try to launch the environment again it freezes. It gives the
messages:
 
Execução de iniciação:
  carregando o ambiente inicial

Start sciGPGPU
	Load macros
	Load help
Arquivo compartilhado carregado.
Link feito.
Arquivo compartilhado carregado.
Link feito.

Which could be translate to English as
 
Starting Execution:
  loading initial environment

Start sciGPGPU
	Load macros
	Load help
Shared File Loaded.
Link done.
Shared File Loaded.
Link done.


As I couldn't compile from source as well, which it can't find the script help_loader.sce,
I decided to write it as a comment and ask for help.

Thank you for the initiative.
Answer from Cédric DELAMARRE -- March 13, 2012, 01:05:38 PM    
Hi Ronaldo,

Your GPU is not the problem (I have the same), but try to downgrade to the cuda toolkit
4.0 and reinstall the toolbox with atomsInstall.

For the help_loader problem, I have upload a new sources package which should resolve
that.

If you have any problems, don't hesitate.
In your futur posts, please indicate me your OS (64/32 bits), the Scilab version, the Cuda
version and the toolbox version.

Thanks for your post,
Cédric
Answer from Ronadlo de Abreu -- March 14, 2012, 04:13:15 PM    
This answer has been deleted.
Answer from Ronadlo de Abreu -- March 14, 2012, 04:13:47 PM    
Hi Cédric,

I am sorry for the laziness on my post. Well to retify the information, I am under a
OpenSUSE 12.1 64-bit Linux using Scilab 5.3.3 that I just downloaded from the site.

I followed the instructions you posted with the atomsInstall, but I still have the same
result.
I installed the cudatoolkit 4.0.17 just recently downloaded from Nvidia's website, erased
the previous installation and reinstalled the toolkit.

I did not rebooted the machine once the device drivers where alread installed, and I did
not preformed a second installation.

The Messages and the problems, unfurtunate, remain.

Well, thank you for the help.

Ronaldo.
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