The following article explains on using Intel® MKL with NumPy/SciPy, Matlab, C#, Java, Python, NAG, Gromacs, Gnu Octave, PETSc, HPL, HPCC, IMSL etc.
There are a few existing open source C++ template libraries that can be linked with Intel® MKL. Please refer to the documentation placed on the web-pages of the C++ libraries. Feel free to choose the package that mostly fits your needs and/or C++ style.
Intel® Cilk™ Plus is an open source project now. This article is about how to build the 'cilkplus' branch to support CilkPlus in GCC.
Some ARPACK users have reported stability issues after upgrading to the Intel® Math Kernel Library (Intel® MKL
This article makes available third-party libraries, executables and sources that were used in the creation of Intel® Software Development Products or are required for operation of those. Intel provides this software pursuant to their applicable licenses. [Intel® Graphics Technology, Intel® Composer XE, Intel® C++ Composer XE, Intel® Application Debugger, Intel® Many Integrated Core Architecture...