intel-mkl

问题 I'm trying to create an executable python program that runs on windows without python being installed, for this I'm using cx_Freeze. But I get the following error: "Cannot load mkl_intel_thread.dll" On my PC, which has python installed (miniconda3), I built the executable using cx_Freeze, and when I ran the executable I also would get "Cannot load mkl_intel_thread.dll". I fixed this by going to my python folder, Library\bin, and copied the mkl_intel_thread.dll file to where the executable is

问题 I'm almost new in using mkl libraries. So excuse me if it seems silly. I tried to run an example in tutorial [here] with ifort -mkl dgemm_example.f ,then run the executable file. Here is the error: ./a.out: error while loading shared libraries: libmkl_intel_lp64.so: cannot open shared object file: No such file or directory I also searched for the similar problems but it baffled me more. do you have any idea? dgemm_example.f 回答1: You have to set the LD_LIBRARY_PATH environment variable,

问题 I'm trying to link Ipopt with Intel MKL (instructions). Intel's Link Advisor suggests: Link line: -Wl,--start-group ${MKLROOT}/lib/intel64/libmkl_intel_ilp64.a ${MKLROOT}/lib/intel64/libmkl_core.a ${MKLROOT}/lib/intel64/libmkl_intel_thread.a -Wl,--end-group -lpthread -lm -ldl Compiler options: -DMKL_ILP64 -qopenmp -I${MKLROOT}/include I try to configure Ipopt with: ../configure CXX=icpc CC=icc F77=ifort --with-blas=" -Wl,--start-group ${MKLROOT}/lib/intel64/libmkl_intel_ilp64.a ${MKLROOT}/lib

问题 I installed Intel MKL and other libraries for a customized numpy. Here is my ~/.numpy-site.cfg : [DEFAULT] library_dirs = /usr/lib:/usr/local/lib include_dirs = /usr/include:/usr/local/include [mkl] library_dirs = /opt/intel/mkl/lib/intel64/ include_dirs = /opt/intel/mkl/include/ mkl_libs = mkl_rt lapack_libs = [amd] amd_libs = amd [umfpack] umfpack_libs = umfpack [djbfft] include_dirs = /usr/local/djbfft/include library_dirs = /usr/local/djbfft/lib This configuration file seems OK during the

问题 This question might just show that I haven't understand something important in C: The Intel Math Kernel library provides a way to set the memory alignment when allocating memory. On the other hand I pass arrays to mkl lapack routines just by reference. So how does the lapack routine know about the alignment of the array? It has to, since the memory alignment determines at which memory address is a particular array value, correct? 回答1: The routine does not need to know about alignment.

问题 I am using intel fortran compiler and intel mkl for a performance check. I am passing some array sections to Fortran 77 interface with calls like call dgemm( transa,transb,sz_s,P,P,& a, Ts_tilde,& sz_s,R_alpha,P,b,tr(:sz_s,:),sz_s) as evident, tr(:sz_s,:) is not contiguous in memory and the Fortran 77 interface is expecting a continuous block and creating a temporary for this. What I was wondering is that will there be a difference if I create my temporary array explicitly in the code for tr

问题 I want to compile this C code with MKL, but when I run it using the command mpicc -mkl mkl_thread.c , it gives me an error about an unrecognized command line option -mkl . When I run it as mpicc mkl_thread.c -o mkl_thread , it gives a different error, saying "undefined reference to `MKL_Set_Num_Threads'". I don't know how I can run it with or link with MKL. My code is: define NUM_PROCS 5 int main (int argc, char ** argv) { int threads_per_proc[NUM_PROCS] = { 1,2 ,3, 4,5 }; int rank; MPI_Init(

问题 #include<iostream> #define EIGEN_USE_MKL_ALL #include"mkl.h" #include<Eigen/Dense> using Eigen::MatrixXd; int main() { MatrixXd m1,m2,m3; m1<<1,2,3,4; m2<<5,6,7,8; m3=m1*m2.Transpose(); std::cout<<m3; } i used IMKL11.2 Eigen 3.2.0 ubuntu 14.04 LTS intel core duo processor 64bit os g++ compiler http://eigen.tuxfamily.org/dox/TopicUsingIntelMKL.html the link says that we can use IMKL from Eigen by defining the macro. But the following error pope up in file included from Eigen/Core from Eigen

问题 I have been scratching my head for more than a week, with no answer to my issue. I want to build R from cran source with Intel MKL 1 as a shared library. Here is the small script I use to test my configuration: #! /bin/sh export MKL=/opt/intel/compilers_and_libraries_2016.0.109/linux/mkl MKL=" -L${_mkllibpath} \ -Wl,--start-group \ -lmkl_gf_lp64 \ -lmkl_gnu_thread \ -lmkl_core \ -Wl,--end-group \ -lgomp -lpthread" ./configure --prefix=/usr \ --libdir=/usr/lib \ --datarootdir=/usr/share \

问题 Running numpy.fft.fft(np.eye(9),norm="ortho) leads to TypeError: fft() got an unexpected keyword argument 'norm' . I am running Numpy with Intel MKL. Could it be that there is something wrong with the linkings inside the libraries? 来源： https://stackoverflow.com/questions/38786227/numpys-fft-with-intel-mkl