Learning Lab

OpenMP 4.0 for SIMD and Affinity Features with Intel® Xeon® Processors and Intel® Xeon Phi™ Coprocessors

Continuing its long tradition of standards-based software products, Intel® has implemented new OpenMP features that enhance the usage of its hardware products. The newly-released OpenMP 4.0 specification (http://www.openmp.org) contains several features that are especially useful with Intel® Xeon Phi™ coprocessors. The accelerator feature is a standardized way to program off-loading computations to such devices. The SIMD feature is a standardized way to engage the 512-bit wide SIMD capability on Intel® Xeon Phi™ coprocessors.

  • OpenMP*
  • simd
  • Intel Xeon Phi
  • 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.

  • Intel® Math Kernel Library
  • Intel® Parallel Studio XE
  • Python
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