vectorization

Diagnostic 15042: pragma supersedes previous setting

Cause:

This diagnostics message comes when the parameters of the directive are contradictory.  

In the example below, the directive !dir$ loop count has two clauses, avg() and max(). Notice the contradiction in these two clauses: the max() parameter is lesser than the avg() clause value:


Examples:

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  • Servidor
  • Fortran
  • Herramientas de clúster
  • Intel® Parallel Studio XE
  • fortran
  • vectorization
  • directives attributes optimization
  • Herramientas de desarrollo
  • Diagnostic 15002: loop was vectorized (Fortran)

     

    Cause:

    For the Intel® Compiler, vectorization is the unrolling of a loop combined with the generation of packed SIMD instructions. Because the packed instructions operate on more than one data element at a time, the loop can execute more efficiently. The above message indicates that the loop was successfully vectorized using packed SIMD instructions. 

    Example:

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  • Intel® Parallel Studio XE
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  • Diagnostics
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  • How Intel® AVX Improves Performance on Server Application

    The latest Intel® Xeon® processor E7 v2 family includes a feature called  Intel® Advanced Vector Extensions (Intel® AVX), which can potentially improve application performance.   Here we will explain the context, and provide an example of how using Intel® AVX improved performance for a commonly known benchmark.

    For existing vectorized code that uses floating point operations, you can gain a potential performance boost when running on newer platforms such as the Intel® Xeon® processor E7 v2 family, by doing one of the following:

    Vectorization Essentials

     

    Compiler Methodology for Intel® MIC Architecture

    Vectorization Essentials

    Overview

    This chapter covers topics in vectorization. Vectorization is a form of data-parallel programming. In this, the processor performs the same operation simultaneously on N data elements of a vector ( a one-dimensional array of scalar data objects such as floating point objects, integers, or double precision floating point objects).

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  • Intel® Xeon Phi™ Coprocessor September 2013 Developer Webinar Q&A Responses

    The third session of our  High Performance Application Development for Intel® Xeon® and Intel® Xeon Phi™ processors class was held during the last week of September, and generated yet another list of questions.  We tried answering all we could, though there were some, due to loss of context ("what was that thing with slide 25?") or other issues that made them difficult to answer.  Hopefully the answer your waiting for will be among the list below:

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    HPCWire Videos


    Coding the Future, Intels Vision
    James Reinders, Director and Parallel Programming Evangelist, talks about Intel’s vision of consistent, standards-based software development tools. He also discusses his new book that gives an introduction to programming for parallelism on Intel® Xeon® processors and Intel® Xeon Phi™ coprocessors.

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  • Suscribirse a vectorization