Hi Namik,
I tried building the GUI yesterday but got stuck because a QJsonDocument
is returned from a signal (or slot, don't remember). The auto-MOC
generator seems to be ignoring all preprocessor guards, so I couldn't
get this to work on my machine. Is there any 'easy' fix to solve this?
As for the sparse matrix reading: The code looks godd, just the way I'd
expect it to work. Maybe the file format isn't recognized properly? Can
you run in a debugger to see where the error is caused?
Best regards,
Karli
On 08/18/2014 09:30 AM, Namik Karovic wrote:
> Hey Philippe,
>
> I've disabled LU and renamed sizes to {M,N,K}. It's running fine now.
>
> Except custom sparse matrices :D I have no idea how to load and use them
> for benchmarking, since the new procedure using on-the-fly matrix
> generation is very different than the one using boost. Here's how I
> tried to it:
>
> std::vector< std::map<unsigned int, ScalarType> > stl_A;
> viennacl::tools::sparse_matrix_adapter<ScalarType> adapted_A(stl_A);
> if(customSparseMatrixPath.isEmpty()){
> //no custom matrix specified, generate the default one
> viennacl::tools::generate_fdm_laplace(adapted_A, xPoints, yPoints );
> }
> else{
> //load matrix from file
> if(!viennacl::io::read_matrix_market_file(adapted_A /* Is this the
> right variable to read into? */, customSparseMatrixPath.toStdString()) ){
> std::cout << "Custom sparse matrix read successfully" <<std::endl;
> }
> else{
> std::cout << "Failed to read custom sparse matrix" <<std::endl;
> }
> }
>
> It always gives either unsupported format or plain failed to read
> matrix. Some help would be greatly appreciated.
>
> By the way, I'm starting to feel minor addiction when playing with the
> expert mode. There's certainly something very attracting about tweaking
> those numbers to get bigger numbers :D Except in the case of blas3. I
> just couldn't find a better matrix size combination than the default
> {1920,1920,1920}. Are these sizes the result of that magic auto-tuner
> thingy, or is it just unlucky tweaking? :D
>
> Regards, Namik
>
>
>
>
> On Mon, Aug 18, 2014 at 4:59 AM, Philippe Tillet <[email protected]
> <mailto:[email protected]>> wrote:
>
> Hey Namik,
>
> The code looks fine. As a small tip, I would advise to use
> blas3MatrixSize{A,B,C} = {M, N, K} ; it's much more conventional. I
> would also suggest to remove LU from the benchmark. I only achieve
> 11 GFLOP/s on my machine (GEMM peaks at 120GFLOP/s). It will smash
> the overall score if you keep it enabled!
>
> Philippe (Not sleeping either :-p)
>
>
> 2014-08-17 23:28 GMT+02:00 Namik Karovic <[email protected]
> <mailto:[email protected]>>:
>
> Hi all,
>
> I just pushed the first working version of expert(custom)
> benchmark mode. Selecting custom sparse matrices is yet to be
> implemented, but all other benchmark configs are working.
>
> Except blas3, that is. I think I got the sizes wrong. I'd
> appreciate it if someone could check if I did it right:
>
> //blas3MatrixSizeA,B = size1,2
> //blas3MatrixSizeB,C = size2,3
> viennacl::matrix<ScalarType> vcl_A(blas3MatrixSizeA,
> blas3MatrixSizeB);
> viennacl::matrix<ScalarType> vcl_B(blas3MatrixSizeB,
> blas3MatrixSizeC);
> viennacl::matrix<ScalarType> vcl_C(blas3MatrixSizeA,
> blas3MatrixSizeC);
>
> // Fill the matrix
> for (unsigned int i = 0; i < blas3MatrixSizeA; ++i)
> for (unsigned int j = 0; j < blas3MatrixSizeB; ++j)
> stl_A[i*blas3MatrixSizeA + j] = random<ScalarType>();
>
> for (unsigned int i = 0; i < blas3MatrixSizeB; ++i)
> for (unsigned int j = 0; j < blas3MatrixSizeC; ++j)
> stl_B[i + j*blas3MatrixSizeC] = random<ScalarType>();
>
> //using ranges
> viennacl::range r(blas3MatrixSizeB/4, 3 * blas3MatrixSizeB/4);
>
> //using slices
> viennacl::slice s(0, 2, blas3MatrixSizeB/2);
>
> The benchmark crashes on test 4 (LU factorization). I don't know
> if I messed up somewhere before test 4 (in the code written
> above), or somewhere else.
>
> Regards, Namik
>
>
>
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