Blog post

Benign Data Races: What Could Possibly Go Wrong?

The peril of data races. Shows how even the most innocent ones can break badly.
Authored by Dmitry Vyukov Last updated on 07/04/2019 - 17:06
Blog post

New Book: Multithreading for Visual Effects

Several authors from DreamWorks Animation, Pixar, Side Effects, AMD and Intel got together to write a book based on the Siggraph 2013 course on Multithreading in Visual Effects.

Authored by James R. (Blackbelt) Last updated on 07/26/2019 - 07:56
Article

Putting Your Data and Code in Order: Optimization and Memory – Part 1

This series of two articles discusses how data and memory layout affect performance and suggests specific steps to improve software performance. The basic steps shown in these two articles can yield significant performance gains. These two articles are designed at an intermediate level. It is assumed the reader desires to optimize software performance using common C, C++ and Fortran* programming...
Authored by David M. Last updated on 12/12/2018 - 18:00
Article

整理您的数据和代码: 优化和内存 — 第 1 部分

This series of two articles discusses how data and memory layout affect performance and suggests specific steps to improve software performance. The basic steps shown in these two articles can yield significant performance gains. These two articles are designed at an intermediate level. It is assumed the reader desires to optimize software performance using common C, C++ and Fortran* programming...
Authored by David M. Last updated on 12/12/2018 - 18:00
Article

Приводим данные и код в порядок: оптимизация и память, часть 1

This series of two articles discusses how data and memory layout affect performance and suggests specific steps to improve software performance. The basic steps shown in these two articles can yield significant performance gains. These two articles are designed at an intermediate level. It is assumed the reader desires to optimize software performance using common C, C++ and Fortran* programming...
Authored by Last updated on 12/12/2018 - 18:00
Blog post

Reduce Boilerplate Code in Parallelized Loops with C++11 Lambda Expressions

Parallelize loops with Intel® Threading Building Blocks using Intel® C++ Compiler for lambda expressions.
Authored by gaston-hillar (Blackbelt) Last updated on 12/12/2018 - 18:00
Article

Improve Vectorization Performance with Intel® AVX-512

See how the new Intel® Advanced Vector Extensions 512CD and the Intel AVX512F subsets (available in the Intel® Xeon Phi processor and in future Intel Xeon processors) lets the compiler automatically generate vector code with no changes to the code.
Authored by Alberto V. (Intel) Last updated on 07/08/2019 - 19:26
Article

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

Authored by Last updated on 07/16/2019 - 08:37
Article

Programação Vetorial e Paralela com amplificador Intel® VTune™

Eduardo H. M. Cruz, Matheus S. Serpa, Arthur M. Krause, Philippe O. A. Navaux

Authored by Last updated on 12/12/2018 - 18:00
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