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sciGPGPU

(2370/7206 downloads)
Gpu Computing for Scilab
Details
Version
2.0-1
Author(s)
Cedric Delamarre
Vincent LEJEUNE, Allan CORNET, Cedric DELAMARRE
Entity
Scilab Enterprises
Package maintainers
Cdric Delamarre
Vincent Couvert
Categories
License
Supported Scilab Versions
>= 5.4
Creation Date
11th of September 2013
ATOMS packaging system
Available on
How To Install
atomsInstall('sciGPGPU')
Description
This module provides GPU computing capabilities to Scilab. It uses an implementation of BLAS (cuBLAS) and FFT (cuFFT) through gpuAdd, gpuMult, gpuFFT and other functions. This module uses essentially Cuda but some functions, as gpuBuild, have been created for build and use kernels developed with OpenCL or Cuda. Binary versions have been built with Cuda 4.0. If you need the OpenCL version of this module, please send an email to contact@scilab-enterprises.com.
Files (5)
News (0)
Comments (8)
    Leave a comment 
Comment from Moldovan Eugen -- 3rd of December 2013, 05:18:42 PM    
Hi Anker,

I've followed your steps but I still have problems with the compiler. 

Startup execution:
  loading initial environment

Start sciGPGPU
	Load macros
	Load help
Shared archive loaded.
Link done.
Shared archive loaded.
Link done.
atomsLoad: An error occurred while loading 'sciGPGPU-2.0-0':
	Please install Visual Studio compiler.
 
-->findmsvccompiler()
 ans  =
 
 msvc100express  

Do you have any idea how to fix this?
Thanks,
Eugen
Comment from Moldovan Eugen -- 5th of December 2013, 08:50:46 AM    
Forgot to mention: win7, 64bit, Nvidia Tesla C1060, scilab 64bit 5.4.1

Eugen
Comment from Anker Josefsen -- 5th of December 2013, 04:06:28 PM    
This comment has been deleted.
Comment from Anker Josefsen -- 5th of December 2013, 04:21:27 PM    
This comment has been deleted.
Comment from Moldovan Eugen -- 9th of January 2014, 11:54:01 AM    
Thanks Anker,

No luck after trying the additional instructions above. I think the toolkit is not mature
enough and I cannot afford to install a lower version of the CUDA drivers. I'm using the
GPU also for EM simulations and the CST license requires the latest CUDA drivers.

I'll watch the developments and maybe try again to fiddle with scilab in a year or so :(
Eugen
Comment from Anker Josefsen -- 21st of January 2014, 09:51:37 PM    
Eugen,

Eventually came to the same conclusion here. Currently I am programming directly in cuda
and compiling to a dll that scilab then link.

/Anker
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