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]>:
> 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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