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OpenMP* and the Intel® IPP Library

How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
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Vectorization Toolkit

A toolkit that gives 6 Steps to Increase Performance Through Vectorization in Your Application
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Fortran Array Data and Arguments and Vectorization

Examples of vectorizing Fortran applications
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Outer Loop Vectorization

Vectorization Essentials: Vectorizing the outer loop can be profitable
Authored by admin Last updated on 03/27/2019 - 16:10
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Utilizing Full Vectors and Use of Option -qopt-assume-safe-padding

Vectorization Essentials: Efficient vectorization involves making full use of the vector-hardware in the kernel-vector loop.
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Random Number Function Vectorization

Random number function auto-vectorization supported
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Avoid Manual Loop Unrolling

Generate efficient vectorized code when a loop structure is not manually unrolled
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Common Vectorization Tips

Get tips for common vectorization functions, such as handling user-defined function calls inside vector loops.
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The Importance of Vectorization for Intel Microarchitectures (Fortran Example)

Reference Link and Download

Intel Vectorization Tools

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Improving Averaging Filter Performance Using Intel® Cilk™ Plus

Intel® Cilk™ Plus is an extension to the C and C++ languages to support data and task parallelism.  It provides three new keywords to i

Authored by Anoop M. (Intel) Last updated on 12/12/2018 - 18:00