Intel Composer XE for Linux OS Intel

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Intel Composer XE for Linux OS  Academic
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10104286License + 1 Year Support - 1 developer$459.95
10104287License + 3 Years Support - 1 developer$1355.64
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Intel® Composer XE Products:

Intel compilers and performance libraries for developers interested in application performance



Features:

  • Compiler performance leadership. A simple compile can deliver a 20% gain, or more. Use more features, get more performance!
  • Intel C++ is compatible with Visual C++* on Windows* and gcc on Linux*
  • Intel Fortran supports VAX* Fortran and is compatible with Compaq Visual Fortran*
  • Compilers integrate into Visual Studio* on Windows and are compatible with the gnu tool chain
  • Intel® MKL offers math highly optimized, threaded math routines. Includes BLAS, LAPACK, ScaLAPACK1, sparse solvers, fast Fourier transforms, vector math, and more.
  • Intel® IPP is an extensive library of multicore-ready, highly optimized functions for data processing, multimedia, and communications applications
  • Intel® TBB is an award-winning C++ template library for creating reliable, portable, and scalable parallel applications
  • Rogue Wave* IMSL Fortran Library available in a special offering of Intel® Visual Fortran Composer XE for Windows

Benefits:
  • Outstanding application performance gives your applications a competitive edge
  • Integrates into Visual Studio and supports the gnu tools to preserve your
  • development environment investment
  • Additional compilers, tools and libraries to enhance app performance.
  • Compatibility enables you to mix/match compilers as your development needs evolve
  • Includes parallel programming models in components like Intel® TBB to enhance productivity as you add parallelism to take advantage of today's multicore systems – and tomorrow's.
  • Includes Intel® Integrated Performance Primitives (Intel® IPP), a library of multicore-ready, highly optimized functions that help speed development of digital media and data-processing applications
  • Saves time in delivering app performance with features like auto-parallelization, auto-vectorization and, the new guided auto-parallelization

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