I am trying to do a Column Vector multiplication with a Row Vector. Can I use dgemm? In other words D = A * B where D is a Matrix, A is a Column Vector and B is a Row Vector. I followed the documentation found here https://software.intel.com/en-us/node/520775. I cannot...

I have a question regarding cblas_dgemv. I am trying to understand how it works. And what I am possibly doing wrong. I have an array Matrix and then I try to read that matrix RowMajor and ColumnMajor. I am getting the expected result in the RowMajor Case; [6, 2, 4,...

Folks, I'm calling LAPACKE_dptsv If all arguments are 1d arrays, does it matter if I call the data LAPACK_ROW_MAJOR or LAPACK_COL_MAJOR ?...

I am trying to learn how a Makefile should look like, when it comes to the flags, especially the linking ones. Here is my Makefile: OBJS = n.o SOURCE = n.cpp # HEADER = there are no header files, so I commented that OUT = test CXX = ../mpich-install/bin/mpic++ FLAGS...

I typically get the latest scientific Python packages from here. I noticed that there are two version of numpy made available - standard and MKL versions. My questions: How much of performance improvements do we actually get from switching to the MKL version? Does anyone have benchmarks after testing it...

I'm trying to set the number of threads for numpy calculations with mkl_set_num_threads like this import numpy import ctypes mkl_rt = ctypes.CDLL('libmkl_rt.so') mkl_rt.mkl_set_num_threads(4) but I keep getting an segmentation fault: Program received signal SIGSEGV, Segmentation fault. 0x00002aaab34d7561 in mkl_set_num_threads__ () from /../libmkl_intel_lp64.so Getting the number of threads is no problem:...

I have a code with following structure : Eigen::MatrixXd function1(args) { #pragma omp parallel for for (args) //filling a matrix element-wise return matrix; } Eigen::MatrixXd function2(argument is function1 matrix) { #pragma omp parallel for for (args) //element-wise probabilities calculations on matrix from function1 return matrix; } Eigen::MatrixXd global_function(args) { Eigen::MatrixXd...

I go this ex1.c file from Intel 11. However, when I execute it, it fails: [email protected]:~/konstantis$ ../mpich-install/bin/mpicc -o test ex1.c -I../intel/mkl/include ../intel/mkl/lib/intel64/libmkl_scalapack_ilp64.a -Wl,--start-group ../intel/mkl/lib/intel64/libmkl_intel_ilp64.a ../intel/mkl/lib/intel64/libmkl_core.a ../intel/mkl/lib/intel64/libmkl_sequential.a -Wl,--end-group ../intel/mkl/lib/intel64/libmkl_blacs_intelmpi_ilp64.a -lpthread -lm -ldl [email protected]:~/konstantis$ mpiexec -n 4 ./test { 0, 0}: On entry to DESCI{...

Do anyone have any idea how can I rewrite eig(A,B) from Matlab used to calculate generalized eigenvector/eigenvalues? I've been struggling with this problem lately. So far: Matlab definition of eig function I need: [V,D] = eig(A,B) produces a diagonal matrix D of generalized eigenvalues and a full matrix V whose...

Currently I do not get any fundings for my PhD. As a consequence I can use the free MKL libraries. But that will change soon. I compiled IPOPT and other packages against the MKL libraries. What will haben if I do not have the licence anymore ? Are the packages...