The performance of computer depends how fast the system can move data between processors and memories.The mathematical libraries are tuned to architecture and one can use the best compiler falgs to get the best sustained performance. The high-level libraries are optimized without regard o the processor and can be used effectively on processors from Intel® Pentium® processor through Intel® CoreT 2 Extreme processor family and Intel® Itanium 2 processor.

Though Intel Math Kernel Library (Intel MKL) provides support for Fortran and C/C++ programming, not all function domains support both interfaces . For example, LAPACK has no C interface.

LAPACK

When calling LAPACK routines C-language programs, make sure that you follow Fortran rules:
    -Pass variables by 'address' as opposed to pass by 'value'.
    -Be sure to store your data Fortran -style, i.e. data stored in column-major rather than row-major order.

BLAS routines are Fortran-style routines. If you call BLAS routines from a C-language program, you must follow the Fortran-style calling conventions:
    -Pass variables by address as opposed to passing by value.
    -Be sure to store data Fortran-style, i.e. data stored in column-major rather than row-major order.

CBLAS routines are provided as the C-style interface to the BLAS routines. Call CBLAS routines using regular C-style calls. When using the CBLAS interface, the header file mkl.h will simplify the program development as it specifies enumerated values as well as prototypes of all the functions. The header determines if the program is being compiled with a C++ compiler, and if it is, the included file will be correct for use with C++ compilation.