Blog post

OpenMP* 4.0 may offer important solutions for targeting and vectorization

The upcoming OpenMP 4.0 will be discussed at SC12, and there wil

Authored by James R. (Blackbelt) Last updated on 05/28/2018 - 18:28
Article

Explicit Vector Programming – Best Known Methods

Vectorizing improves performance, and achieving high performance can save power. Introduction to tools for vectorizing compute-intensive processing.
Authored by Last updated on 04/24/2019 - 11:25
Video

Getting the Most Out of the Intel® Compiler with New Optimization Reports

Intel® Composer XE 2015 has dramatically overhauled the reporting features for such crucial optimizations as inlining, vectorization, parallelization, and memory access and cache usage optimization

Authored by admin Last updated on 03/04/2019 - 13:45
Article

Intel® Parallel Studio XE 2015 Professional Edition for Windows, Fortran Compiler

Product tour with videos and samples

Authored by admin Last updated on 07/04/2019 - 10:00
Article

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
Article

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
Article

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

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
Article

OpenMP* 4.0 Combined Offload Constructs Support for the Intel® Xeon Phi™ Coprocessor

The Intel® Parallel Studio XE 2015 Composer Editions for Windows* and Linux* have feature enhancements that provide near full support of the OpenMP* 4.0 API (July 2013) specification.

Authored by Last updated on 10/15/2019 - 15:30