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How to Manipulate Data Structure to Optimize Memory Use on 32-Bit Intel® Architecture

Demonstrates how a Structure of Arrays organization of data makes it easier to get a performance benefit from SIMD
Authored by admin Last updated on 02/05/2019 - 10:23
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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.
Authored by Last updated on 07/31/2019 - 14:30
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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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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
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Intel® Advisor Tutorials

Intel Advisor offers Vectorization Advisor, a vectorization optimization tool, and Threading Advisor, a threading design and prototyping tool, to help ensure your Fortran, C and C++ applications realize full performance potential on modern processors, such as Intel® Xeon Phi™ processors.
Authored by admin Last updated on 12/11/2018 - 21:37
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Tutorial: Vectorization Sample for Intel® Advisor XE 2016

Intel® Advisor XE 2016 offers a vectorization analysis tool and a threading design and prototyping tool to help ensure your Fortran and native/managed C++ applications take full performance advantage of today’s processors. These READMEs show how to use the vectorization analysis tool to improve the performance of a C++ sample application.
Authored by admin Last updated on 01/31/2019 - 08:37
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Recognize and Measure Vectorization Performance

Get a background on vectorization and learn different techniques to evaluate its effectiveness.
Authored by David M. Last updated on 07/06/2019 - 16:40
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Use SIMD Data Layout Templates (SDLT) Efficiently in Animation

Improve your vectorization project using techniques and methodologies from Intel.
Authored by Last updated on 03/25/2019 - 11:40
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Set Up Intel® Software Optimization for Theano* and Supporting Tools

Get recipes for installing development tools and libraries on various platforms for the Python library.
Authored by Sunny G. (Intel) Last updated on 05/08/2018 - 10:50