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sciCuda

Scilab Cuda toolbox

(19063 downloads for this version - 19063 downloads for all versions)

Details

Version

1.0

Author

Cedric Delamarre

Owner Organization

Scilab Enterprises

Maintainers

Pierre-Aime AGNEL

Administrator ATOMS

C?dric DELAMARRE

Category

Parallel Computing

License

Creative Commons Attribution-Share Alike (3.0)

Creation Date

September 19, 2016

Source created on

Scilab 6.0.x

Binaries available on

Scilab 6.0.x:

Linux 64-bit

Windows 64-bit

Install command

--> atomsInstall("sciCuda")

Report a bug

GitLab's issues for sciCuda

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.
Some functions, as gpuBuild, have been
created for build and use kernels writen using the Cuda language.

Binary versions have been built with Cuda 7.5

Files (3)

[418.57 kB]

sciCuda_1.0-4.bin.Linux.x64.tar.gz

Linux 64-bit binary for Scilab 6.0.x

Upload date : 2016-09-21 16:49:05
MD5         : e03a5ea8591a774e855469168a589dc7
SHA1        : 025d2fe4b8b60c4fd7d3ed24fae92aeaf408e74c
Downloads   : 8367

[732.05 kB]

sciCuda_1.0.bin.Windows.x64.zip

Windows 64-bit binary for Scilab 6.0.x

Binary Windows 64 bits.

Upload date : 2016-09-21 15:11:36
MD5         : c9aac251224badd183db53789626be34
SHA1        : 9ae471669adda35c5510b1b5b4594b83c7e4ff34
Downloads   : 9826

[7.71 kB]

sciCuda_1.0.src.tar.gz

Source code archive

Upload date : 2016-09-21 14:54:43
MD5         : 35a9cfd566dc8eafb45709d88f329b7e
SHA1        : af6e5a41fe19ff419705462aab7951ee755315f2
Downloads   : 870

News (0)

Comments (10) ↑ Leave a comment

Comment from Grace Redhyka -- September 22, 2016, 09:36:26 AM

I have tried both the sciOpenCL and sciCuda,

GPU : Nvidia Quadro K600
Visual Studio 2012
CUDA Toolkit 7.5

sciOpenCL works fine, 

but when I remove the sciOpenCL and install sciCuda, error happened when loading the 
module :


Start sciGPGPU
	Load macros
	Load help
Shared archive loaded.
Link done.
Shared archive loaded.
Link done.
Shared archive loaded.
Link done.
atomsLoad: An error occurred while loading 'sciCuda-1.0':
	Please install CUDA Toolkit 6 or more.

For now I will use the sciOpenCL.

Answer from C?dric DELAMARRE

-- September 29, 2016, 10:42:51 AM

Hello,

Can you check what CUDA variable environment are available ?
This toolbox needs the CUDA_BIN_PATH variable, but CUDA variables have probably been 
modified since last versions.

Cedric

Comment from Samuel Gougeon -- September 25, 2016, 03:13:25 PM

When i load the sciCuda module, the startup fails with the following message:
Start sciGPGPU
	Load macros
	Load help
Shared archive loaded.
Link done.
Shared archive loaded.
Link done.
link: The file nvcuda.dll does not exist in PATH environment.
atomsLoad: An error occurred while loading 'sciCuda-1.0':
	Please install Nvidia Developer Drivers
at line   335 of function    atomsLoad ( SCI\modules\atoms\macros\atomsLoad.sci line 351 )
at line     1 of executed string 

No prerequisite and no dependency are documented on this dedicated ATOMS webpage, that
could explain this error.

By the way, the startup message refers to sciGPGPU instead of to sciCuda.

Answer from Samuel Gougeon -- March 8, 2018, 11:47:25 PM

No news?

Comment from Samuel Gougeon -- September 25, 2016, 03:15:05 PM

Reporting bugs on the Forge is not possible: The public link displayed here-above leads
to:

You are not authorized to view this page. You do not have permission
to view the requested directory or page using the credentials supplied.

403 - Forbidden

Comment from Jose PAblo Castro-Valverde -- March 25, 2017, 09:34:58 PM

Hi,
I got a NVIDIA card that only works with Cuda 8.0.
I tried to change the sciGPGPU.start file to load the module but failed with this:

 link: The shared archive was not loaded: libcudart.so.7.5: cannot open shared object file:

No such file or directory

It's make sense because i got these:

/usr/local/cuda-8.0/doc/man/man7/libcudart.so.7
/usr/local/cuda-8.0/targets/x86_64-linux/lib/libcudart.so
/usr/local/cuda-8.0/targets/x86_64-linux/lib/libcudart.so.8.0
/usr/local/cuda-8.0/targets/x86_64-linux/lib/libcudart.so.8.0.61

I think this could be fix if I recompile the source code to be linked to the Cuda 8.0 
libraries instead of Cuda 7.5.

so, my question.
Where is the source code of this module?
I can't find the source anywhere, is it privative code?

Thanks,

Comment from Yury Pershin -- March 31, 2017, 08:00:27 AM

Hi All!

I install Scilab under Windows 10 64 bit and want use sciGPGPU atom.
After install sciGPGPU at Scilab startup I see in command window that I could install 
Visual Studio and CUDA Toolkit.
When I try install Visual Studio 2017 (in my case Community version) I see a lot of 
option, please advice which option I could choose for proper work sciGPGPU.
For CUDA Toolkit if I right understand I could choose custom installing and uncheck only 
driver components and experience (because one installed on my system).
Please advice.
 
With kind regards Yury.

Comment from Alexander Petrov -- April 30, 2017, 02:46:16 PM

This comment has been deleted.

Comment from Alexander Petrov -- April 30, 2017, 05:35:06 PM

visual studio 2013 community + scilab 6.0 + CUDA 7.5
Windows 64-bit binary version does not work!
Where is the source code of this module? or You can recompile?

Comment from Samuel Gougeon -- March 8, 2018, 11:48:53 PM

No news for https://atoms.scilab.org/toolboxes/sciCuda/1.0#comment2666
on 2016-09-25 ?

Comment from Masahiro Fujimoto -- January 4, 2022, 04:59:13 AM

I would like to try sciCuda and I have two questions:

1. CUDA Toolkit 7.0 does not officially support windows 10. The latest version  CUDA
Toolkit 
11.5.0.supports Windows 10. Does sciCuda work under this version?

2.My computer's video card is an AMD Radeon, so I'm planning to switch to NVIDIA. What kind

of specs of NVIDIA card is necessary for sciCuda to work properly? I will chose the card 
with specs which satisfy the requirements of both my computer and sciCuda. 

Thank you very much for your help.

Answer from C?dric DELAMARRE

-- January 4, 2022, 03:13:29 PM

Hello,

Thanks for your comment, but unfortunately, this toolbox is no more maintained.
The last build and tests have been made on an Nvidia GTX 560 Ti which is pretty old now.

If you have an old AMD Card, maybe you will be able to use sciOpenCL but it is not 
maintained either.

Comment from C?dric DELAMARRE

-- January 4, 2022, 03:12:54 PM

This comment has been deleted.