mex

I'm trying to wrap existing C++ code into a MATLAB callable function. I'm using Visual Studio 2013 to generate the MEX file . The MEX file is created properly, I can call it from MATLAB and pass arguments back and forth without any issues. Now I want to debug my C++ logic, and I can't seem to get it to work. I've created an m script that calls my function, and had Visual Studio run MATLAB when debugging - as explained here . When I hit F5 to debug my MEX file, Visual Studio runs MATLAB, and then exits debug mode very quickly, as if the MATLAB process terminated. A few seconds after that ,

I have a DLP kit which I need to control via MATLAB using a C++ API. Say, I have functions/methods using C/C++ for {load_data, load_settings,display_data} in a mex file named dlp_controller.cpp/.c. I know I can call dlp_controller(); with MATLAB. Is there a way I can call the method of this mex from MATLAB directly? Say my dlp_controller.cpp mex looks as: class dlp{ ... } dlp::dlp{ ... } dlp::load_data{ ... } dlp::load_settings{ ... } dlp::display_data{ ... } void mexFunction(int nlhs, mxArray *[],int nrhs, const mxArray *prhs[]{ ... } Can I somehow call the methods like dlp_controller.load

I'm trying to use CUDA code inside MATLAB mex, under linux. With the "whole program compilation" mode, it works good for me. I take the following two steps inside Nsight: (1) Add "-fPIC" as a compiler option to each .cpp or .cu file, then compile them separately, each producing a .o file. (2) Set the linker command to be "mex" and add "-cxx" to indicate that the type of all the .o input files are cpp files, and add the library path for cuda. Also add a cpp file that contains the mexFunction entry as an additional input. This works good and the resulted mex file runs well under MATLAB. After

I started implementing a few m-files in C++ in order to reduce run times. The m-files produce n-dimensional points and evaluate function values at these points. The functions are user-defined and they are passed to m-files and mex-files as function handles. The mex-files use mexCallMATLAB with feval for finding function values. I constructed the below example where a function handle fn constructed in the Matlab command line is passed to matlabcallingmatlab.m and mexcallingmatlab.cpp routines. With a freshly opened Matlab, mexcallingmatlab evaluates this function 200000 in 241.5 seconds while

I am trying to write a matlab mex function which uses libhdf5; My Linux install provides libhdf5-1.8 shared libraries and headers. However, my version of Matlab, r2007b, provides a libhdf5.so from the 1.6 release. (Matlab .mat files bootstrap hdf5, evidently). When I compile the mex, it segfaults in Matlab. If I downgrade my version of libhdf5 to 1.6 (not a long-term option), the code compiles and runs fine. question: how do I solve this problem? how do I tell the mex compilation process to link against /usr/lib64/libhdf5.so.6 instead of /opt/matlab/bin/glnxa64/libhdf5.so.0 ? When I try to do

I'm trying to run a compiler on MATLAB but things don't go as expected. How can I properly install MATLAB and how can I check what exactly is going wrong. I have the MATLAB r2013a version. I've done as follow: I've downloaded the SDK 7.1 file from here destination folder for Tools: C:\Program Files\Microsoft SDKs\Windows\v7.1 destination folder for Samples: C:\Program Files\Microsoft SDKs\Windows\v7.1\Samples I've added my compiler directories to the path environment Control Panel -> System -> "Advanced" -> "Environment variables". new system variable with the name "MSSdk". value of this

I'm studying simple multiplication of two big matrices using the Eigen library. This multiplication appears to be noticeably slower than both Matlab and Python for the same size matrices. Is there anything to be done to make the Eigen operation faster? Problem Details X : random 1000 x 50000 matrix Y : random 50000 x 300 matrix Timing experiments (on my late 2011 Macbook Pro) Using Matlab: X*Y takes ~1.3 sec Using Enthought Python: numpy.dot( X, Y) takes ~ 2.2 sec Using Eigen: X*Y takes ~2.7 sec Eigen Details You can get my Eigen code (as a MEX function): https://gist.github.com/michaelchughes