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Automatic Parallelization with Intel® Compilers

With automatic parallelization, the compiler detects loops that can be safely and efficiently executed in parallel and generates multithreaded code.
Authored by admin Last updated on 07/04/2019 - 21:33
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The Importance of Vectorization for Intel Microarchitectures (Fortran Example)

Reference Link and Download

Intel Vectorization Tools

Authored by Martyn Corden (Intel) Last updated on 07/03/2019 - 20:00
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Intel® Parallel Studio XE Deprecation Information

For latest information on all deprecated and removed options, functionality, and operating system support that apply to the Intel® Parallel Studio XE suites (Composer, Professional, and Cluster Edi

Authored by Gergana S. (Blackbelt) Last updated on 07/06/2019 - 11:43
File Wrapper

Parallel Universe Magazine - Issue 24, March 2016

Authored by admin Last updated on 12/12/2018 - 18:08
File Wrapper

Parallel Universe Magazine - Issue 28, April 2017

Authored by admin Last updated on 09/30/2019 - 16:45
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高效并行化

高效并行化文档

面向英特尔® 集成众核架构的编译器方法

高效并行化

Authored by Ronald W Green (Blackbelt) Last updated on 09/30/2019 - 17:30
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Efficient Parallelization

This article is part of the Intel® Modern Code Developer Community documentation which supports developers in leveraging application performance in code through a systematic step-by-step optimization framework methodology. This article addresses: Thread level parallelization.
Authored by Ronald W Green (Blackbelt) Last updated on 09/30/2019 - 17:28
Article

Free access to Intel® Compilers, Performance libraries, Analysis tools and more...

Intel® Parallel Studio XE is a very popular product from Intel that includes the Intel® Compilers, Intel® Performance Libraries, tools for analysis, debugging and tuning, tools for MPI and the Intel® MPI Library. Did you know that some of these are available for free? Here is a guide to “what is available free” from the Intel Parallel Studio XE suites.
Authored by admin Last updated on 09/30/2019 - 17:28
Article

OMP_PROC_BIND is Now Supported on Compatible Non-Intel Processors

The newest versions of the Intel® C++ and Fortran compilers now support OpenMP* environment variable OMP_PROC_BIND on compatible non-Intel processors for Linux* and Windows* platfo

Authored by Kenneth Craft (Intel) Last updated on 10/08/2019 - 18:20
Article

Intel® MKL Sparse BLAS Overview

Sparse BLAS routines can be useful to implement iterative methods for solving large sparse systems of equations or eigenvalue problems
Authored by Last updated on 10/08/2019 - 18:20