Diagnostic 15527: loop was not vectorized: function call to xxx cannot be vectorized

Product Version: Intel(R) Visual Fortran Compiler XE 15.0 or a later version

作者: Devorah H. (Intel) 最后更新时间: 2018/05/25 - 15:30

Parallel Programming Books

Use these parallel programming resources and books with your Intel® Xeon® processor and Intel® Xeon Phi™ processor family
作者: Mike P. (Intel) 最后更新时间: 2019/03/21 - 12:00

Using Intel® MKL and Intel® TBB in the same application

Intel MKL 11.3 has introduced Intel TBB support.

作者: Gennady F. (Blackbelt) 最后更新时间: 2019/08/01 - 09:22

What is Code Modernization?

Modern high performance computers are built with a combination of resources including:

作者: Mike P. (Intel) 最后更新时间: 2019/07/06 - 16:30

Books - High Performance Parallelism Pearls

A look into the contents of the two "Pearls" books, edited by James Reinders and Jim Jeffers. These books contain a collection of examples of code modernization.
作者: Mike P. (Intel) 最后更新时间: 2019/03/21 - 12:00

The New Parallel Universe Magazine is Out: All About Vectorization

Parallel Universe is Intel's quarterly magazine that explores inroads and innovations in software development. The new issue takes a deep dive into the subject of vectorization and what it can do for you. Our first feature article looks at the SIMD directives for explicit vector programming now available in OpenMP. The second article walks you through Vectorization Advisor, a new tool in the...
作者: Sally Sams (Intel) 最后更新时间: 2018/12/31 - 15:00

Case Study: Optimized Code for Neural Cell Simulations

One of the Intel® Modern Code Developer Challenge winners, Daniel Falguera, describes many of the optimizations he implemented and why some didn't work.
作者: 最后更新时间: 2019/07/06 - 16:40

Palestra: Como otimizar seu código sem ser um "ninja" em Computação Paralela

Não perca a palestra "Como otimizar seu código sem ser um "ninja" em Computação Paralela" da Intel que será ministrada durante a Semana sobre Programação Massivamente Paralela em Petrópolis, RJ, no Laboratório Nacional de Computação Científica. Data: 02/02/2016 - 11h30 Local: LNCC - Av. Getúlio Vargas, 333 - Quitandinha - Petrópolis/RJ
作者: Igor F. (Intel) 最后更新时间: 2019/07/06 - 16:40

Putting Your Data and Code in Order: Data and layout - Part 2

Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
作者: David M. 最后更新时间: 2019/07/06 - 16:40

What is Thread Parallelism, and How Do I Put It to Use?

An Intro to Multi-Level Parallelism for High-Performance Computing by Clay Breshears | Life Sciences Software Architect, Intel
作者: Clay B. (Blackbelt) 最后更新时间: 2018/12/12 - 18:08