Article

Beginning Hybrid MPI/OpenMP Development

A guide for getting started combining MPI and OpenMP in one program. Code samples are included.
Authored by James T. (Intel) Last updated on 08/02/2018 - 06:21
Article

internal error: 0_1204 when openmp used with try-catch

internal error: 0_1204 when openmp used with exception handling
Authored by Last updated on 03/09/2019 - 12:30
Article

Code Sample: Exploring MPI for Python* on Intel® Xeon Phi™ Processor

Learn how to write an MPI program in Python*, and take advantage of Intel® multicore architectures using OpenMP threads and Intel® AVX512 instructions.
Authored by Nguyen, Loc Q (Intel) Last updated on 07/06/2019 - 16:30
Documentation

Intel® C++ Compiler Code Samples from Intel® C++ Compiler Code Samples

Intel® Cilk™ Plus has been deprecated in the Intel® C++ Compiler 18.0. Prefer to use OpenMP-based syntax for offloading to the processor graphics.

Last updated on 03/21/2019 - 09:08
Article

Demo: Advantage of Westmere Crypto Acceleration Engine

Purpose of this demo is to show an advantage of Westmere Crypto Acceleration Engine.
Authored by Last updated on 02/04/2019 - 15:08
Article

Parallel Lint

The article describes a new direction in development of static code analyzers - verification of parallel programs. The article reviews several static analyzers which can claim to be called "Parallel Lint".
Authored by Andrey Karpov (Blackbelt) Last updated on 05/25/2018 - 15:30
Article

Intel® Parallel Studio XE 2015 Composer Edition on Linux*

Authored by admin Last updated on 12/31/2018 - 15:00
Blog post

Applying Intel® Threading Building Blocks Observers for Thread Affinity on Intel® Xeon Phi™ Coprocessors

In spite of the fact that the Intel® Threading Building Blocks (Intel® TBB) library [1] [2] provides high-level task based parallelism intended to hide sof

Authored by Alex (Intel) Last updated on 08/01/2019 - 09:30
Article

Performance of Classic Matrix Multiplication Algorithm on Intel® Xeon Phi™ Processor System

Matrix multiplication (MM) of two matrices is one of the most fundamental operations in linear algebra. The algorithm for MM is very simple, it could be easily implemented in any programming language. This paper shows that performance significantly improves when different optimization techniques are applied.
Authored by Last updated on 06/14/2019 - 11:50
Article

Samples for Intel® C++ Compiler

Intel® C++ compiler is an industry-leading C/C++ compiler, including optimization features like auto-vectorization and auto-parallelization, OpenMP*, and Intel® Cilk™ Plus multithreading capabiliti

Authored by Jennifer J. (Blackbelt) Last updated on 07/11/2018 - 17:00