Intel® Parallel Studio XE

Powered by MKL Accelerating NumPy and SciPy Performance with Intel® MKL- Python

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.

  • Biblioteca kernel de matemática Intel®
  • Intel® Parallel Studio XE
  • Python
  • Intel® Parallel Studio XE 2013 SP1 for Windows* Update 1

    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:

  • Desenvolvedores
  • Microsoft Windows* (XP, Vista, 7)
  • Microsoft Windows* 8.x
  • C/C++
  • Fortran
  • Intel® Parallel Studio XE
  • Intel® Parallel Studio XE 2013 SP1 for Linux* Update 1

    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:

  • Desenvolvedores
  • Linux*
  • C/C++
  • Fortran
  • Intel® Parallel Studio XE
  • Assine o Intel® Parallel Studio XE