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
作者: 管理 最后更新时间: 2019/02/05 - 10:23

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.
作者: 最后更新时间: 2019/07/31 - 14:30

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...
作者: Hans P. (Intel) 最后更新时间: 2017/12/11 - 10:48

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

作者: Anoop M. (Intel) 最后更新时间: 2018/12/12 - 18:00

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.
作者: 管理 最后更新时间: 2018/12/11 - 21:37

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.
作者: 管理 最后更新时间: 2019/01/31 - 08:37

Use SIMD Data Layout Templates (SDLT) Efficiently in Animation

Improve your vectorization project using techniques and methodologies from Intel.
作者: 最后更新时间: 2019/03/25 - 11:40

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.
作者: Sunny G. (Intel) 最后更新时间: 2018/05/08 - 10:50

Implementing a Masked SVML-like Function Explicitly in User-Defined Way

The Intel® Compiler provides SIMD intrinsics APIs for short vector math library (SVML) and starting with Intel® Advanced Vector Extensions

作者: 最后更新时间: 2019/07/16 - 08:37