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Being Successful with the Intel® Compilers -- You Need to Know

Tips and techniques on using the Intel® Compilers to maximize your application performance.
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Vectorization Toolkit

A toolkit that gives 6 Steps to Increase Performance Through Vectorization in Your Application
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Which applications are most likely to benefit from recompilation for Intel® Advanced Vector Extensions (Intel® AVX)?

Applications containing vectorizable, floating-point loops or calls to performance libraries are the most likely to see significant performance gains from rebuilding for the Intel® Advanced Vector Extensions (Intel® AVX)
Authored by Martyn Corden (Intel) Last updated on 08/22/2018 - 17:05
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error: unable to do dynamic initialization

compiler reports "unable to do dynamic initialization" when compiling code that use the GNU* vector_size attribute.
Authored by Last updated on 05/24/2019 - 16:37
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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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Intel® System Studio - Multicore Programming with Intel® Cilk™ Plus

Intel System Studio not only provides a variety of signal processing primitives via Intel® Integrated Performance Primitives (Intel® IPP), and Intel® Math Kernel Library (Intel® MKL), but also allows developing high-performance low-latency custom code (Intel C++ Compiler with Intel Cilk Plus). Since Intel Cilk Plus is built into the compiler, it can be used where it demands an efficient threading...
Authored by Hans P. (Intel) Last updated on 12/11/2017 - 10:48
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OpenMP Loop Collapse Directive

Compiler Methodology for Intel® MIC Architecture

Authored by admin Last updated on 09/30/2019 - 17:30
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Data Alignment to Assist Vectorization

Compiler Methodology for Intel® MIC Architecture

Authored by Rakesh Krishnaiyer (Intel) Last updated on 09/30/2019 - 17:30
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Scheduling for 1-4 Threads Per Core Using Compiler Option -qopt-threads-per-core

Compiler Methodology for Intel® MIC Architecture

Authored by admin Last updated on 09/30/2019 - 17:30