Hi I am using GPU to accelerate my program but an error message comes out after several excuation of my function (I guess this means the first several excuations are successful?) Failed to initialize GPU BLAS library. Can anyone help me? I am guess its the CUDA version problem. Thanks! I am on Windows 10 with gtx 1080 and CUDA version 9.0.176

GPU computing errror of BLAS library

Joss Knight 2017-11-26

No version of MATLAB uses CUDA 9. If you've downloaded the CUDA 9 toolkit that's great, but MATLAB isn't using it.

So tell us what version of MATLAB you are using and let us know what you're running, so we can reproduce your problem.

Rui Xiang 2017-11-26

Thanks very much! my matlab version is 2017b. So should i install CUDA 8 or some other version? I am running a 3d point cloud classification algorithm which is developed by ourselves.

Rui Xiang 2017-11-26

I download CUDA from here https://developer.nvidia.com/cuda-downloads Could you please tell me which version should I install>? Thanks:)

Joss Knight 2017-11-26

You don't need to install the CUDA toolkit in order to use MATLAB. MATLAB comes with a copy of all the toolkit libraries it uses.

You do, of course, need a graphics driver from the NVIDIA website in order to use your card.

So, with that cleared up...you will need to actually provide some code to reproduce your issue otherwise there's just nothing we can do to help.

Rui Xiang 2017-11-26

在 MATLAB Online 中打开

Thanks very much for your reply. I installed the latest drivers of graphic card. But it still does not work.

Here is the part of my code using GPU computing. NO matterr I am using parfor or for loop. The first several i (like 1 to 7) the funtions works, but later it just came up with that error message. My cpu is 6 core.

 function H = matrix_DAL1(X,V,A1,A2,par2)
    a2=gpuArray(A2);
    l = size(X,2);
    H = zeros(l,3*par2(2));
 parfor i = 1:l
    i
    U = X{i};
    m=length(U);
    Z = PCA(U);
    dZ = sqrt(Z(:,1).^2+Z(:,2).^2+Z(:,3).^2);
    U = Z/max(dZ)*0.499;
    n = size(V,1);
    Pat1 = zeros(par2(3),n);
    Pat2 = zeros(par2(3),n);
    Pat3 = zeros(par2(3),n);
    for j = 1:n
        [num,dis,ang] = DAL(U,V(j,:)',par2(3));  
        Pat1(:,j) = num/m;
        Pat2(:,j) = num.*dis;
        Pat3(:,j) = ang;
    end
    S11 = 1./(1+exp(-Pat1'*A1));
    s1 = gpuArray(s1);
    S21 = 1./(1+exp(-S11*A2));
    S12 = 1./(1+exp(-Pat2'*A1));
    s2 = gpuArray(s2);
    S22 = 1./(1+exp(-S12*A2));
    S13 = 1./(1+exp(-Pat3'*A1));
    s3 = gpuArray(s3);
    S23 = 1./(1+exp(-S13*A2));
    h = max([S21,S22,S23]);
    H(i,:) = h;
end

Joss Knight 2017-11-27

Your code is rather confusing. It doesn't seem to actually do anything on the GPU, it just copies data onto it. I'm not even sure how it can execute since, for instance, s1 doesn't exist before you use it.

Can you give me some functional code that contains everything I need to run it?

Rui Xiang 2017-11-27

在 MATLAB Online 中打开

Oh i’m sorry. I copied wrong code. Here is the right one.

 function H = matrix_DAL1(X,V,A1,A2,par2)
    a2=gpuArray(A2);
    a1=gluArray(A1);
    l = size(X,2);
    H = zeros(l,3*par2(2));
 parfor i = 1:l
    i
    U = X{i};
    m=length(U);
    Z = PCA(U);
    dZ = sqrt(Z(:,1).^2+Z(:,2).^2+Z(:,3).^2);
    U = Z/max(dZ)*0.499;
    n = size(V,1);
    Pat1 = zeros(par2(3),n);
    Pat2 = zeros(par2(3),n);
    Pat3 = zeros(par2(3),n);
    for j = 1:n
        [num,dis,ang] = DAL(U,V(j,:)',par2(3));  
        Pat1(:,j) = num/m;
        Pat2(:,j) = num.*dis;
        Pat3(:,j) = ang;
    end
    S11 = 1./(1+exp(-Pat1'*a1));
    S21 = 1./(1+exp(-S11*a2));
    S12 = 1./(1+exp(-Pat2'*a1));
    S22 = 1./(1+exp(-S12*a2));
    S13 = 1./(1+exp(-Pat3'*a1));
    S23 = 1./(1+exp(-S13*a2));
    h = max([S21,S22,S23]);
    h = gather(h);
    H(i,:) = h;
end

Joss Knight 2017-11-27

Okay, but I still don't have the definition of PCA or DAL or the input variables.

It doesn't look like you're using the GPU till the first line beginning S11. Why don't you separate off that bit of code and see if you can reproduce your problem with just that and some random input matrices? Then I can have a go with it. It might matter what size and type your arrays are.

GPU computing errror of BLAS library

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