I tried to train LeNet from official example with MNIST input data http://yann.lecun.com/exdb/mnist/
I am running a Pardiso solver but it only uses two cores out of 4 cores.
I read the documentations but I cannot find any solution.
I had a problem with nested parallelism using OpenMP and MKl fft.
The part of my code that uses MKL calls within omp parallel region looks like this:
I do not understand how is working the sparse_index_base in mkl_sparse_d_export_csr. It looks to me that the exported arrays are independant of what is chosen for sparse_index_base parameter.
Is there a way like on windows platform to check if a new MKL version has been released and automatically download it and adjust symlinks into the installation folder /opt/intel ?
LAPACKE_sggev gives the Eigan Value in my code
The function is not giving correct answer when used on multiple nodes. When nodes = 1 it gives a correct answer
Here I use this data set: http://archive.ics.uci.edu/ml/datasets/Statlog+(Landsat+Satellite)
I am building an application on Windows targeting arch:AVX2, but how can I be sure embree is using AVX2 methods? Will the rtcIntersect8 throw some kind of error if used without AVX2 enabled?