NumPy/SciPy are scientific libraries for Python. R is a programming language for statistics computing. These tools, especially their open source packages, have gained popularity among programmers in scientific and statistic computing. A fundamental component in both NumPy/SciPy and R are the linear algebra functions, which rely on the standard BLAS and LAPACK routines. Intel® Math Kernel Library (Intel® MKL) provides a high performance implementation of BLAS and LAPACK that is optimized for Intel architectures.
I'm excited by our announcement today of Intel® Parallel Computing Centers. The first five centers will be located at CINECA, Purdue University, Texas Advanced Computing Center at the University of Texas (TACC), The University
Intel® Parallel Studio XE 2013 SP1 parallel software development suite combines Intel's C/C++ compiler and Fortran compiler; performance and parallel libraries; error checking, code robustness, and performance profiling tools into a single suite offering. This new product release includes: