Hi,
The problem is that Nvidia have change the environment variable.
I've two solutions for you :
First, try to add new enviromnent variable named CUDA_BIN_PATH with
value %CUDA_PATH%\bin but sciGPGPU have been build with cuda toolkit
v4.0, so this will fix the error about toolkit version but you could
have an other link error.
Second, you should try to install cuda toolkit v4.0.
You can have multiple cuda toolkit installed in your system.
regards,
Le mercredi 22 octobre 2014 à 23:52 -0700, tanthiamhuat a écrit :
I had wanted to try some GPU code in Scilab...
from http://wiki.scilab.org/Documentation/ParallelComputingInScilab
stacksize('max');
// Init host data (CPU)
A = rand(1000,1000);
B = rand(1000,1000);
C = rand(1000,1000);
// Set host data on the Device (GPU)
dA = gpuSetData(A);
dC = gpuSetData(C);
d1 = gpuMult(A,B);
d2 = gpuMult(dA,dC);
d3 = gpuMult(d1,d2);
result = gpuGetData(d3); // Get result on host
// Free device memory
dA = gpuFree(dA);
dC = gpuFree(dC);
d1 = gpuFree(d1);
d2 = gpuFree(d2);
d3 = gpuFree(d3);
even after installation of CUDA Toolkit 6.5, as shown in the screen capture
below, it says:
atomsLoad: An error occurred while loading 'sciGPGPU-2.0-0':
Please install CUDA Toolkit 3.2 or more.
Screen capture:
http://mailinglists.scilab.org/file/n4031427/GPU_Scilab.jpg
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