In diesem Artikel wird der inkrementelle OpenMP Ansatz zur Parallelisierung von sequentiellen Programmen vorgestellt. Der Schwerpunkt liegt auf der praktischen Darstellung von einfachen Programmbeispielen und nicht auf der Vollständigkeit der Beschreibung
OpenMP*
Hybrid applications: Intel MPI Library and OpenMP*
Tips and tricks on how to get the optimal performance settings for your mixed Intel MPI/OpenMP applications.
Openmp Reduction error
The Intel® C++ compiler version 11.0.081 and 11.0.081 for IA64 Linux is unable to reduce the reduction variable properly.
32 подводных камня OpenMP при программировании на Си++
С распространением многоядерных систем задача параллельного программирования становится все более актуальной. В статье приводится описание ряда ошибок, приводящих к некорректному поведению параллельных программ, созданных на основе технологии OpenMP.
Отладка и оптимизация многопоточных OpenMP-программ
Данная статья является введением в создание многопоточных приложений, основанных на технологии OpenMP. Описаны подходы к отладке и оптимизации параллельных приложений.
OMP: Error #15: Initializing libguide.dylib, but found libiomp5.dylib already initialized
This is a linker error generated when different parts of a program try to link both static and dynamic verions of the OpenMP runtime. The solution is to explicitly call out either a dynamic or static link.
Compiler 11.0 now defaults to linking dynamic OpenMP runtime
In the 10.1 and earlier C++ and Fortran Windows compilers, the default for OpenMP programs was to link with the static OpenMP runtime libraries. The default has changed in the 11.0 compilers to link with the dynamic (using DLLs) OpenMP runtime.
OpenMP
OpenMP samples
These samples can be downloaded from Open MP Source code repository in SourceForge.
Also refer to OpenMP specifications in openmp.org.
List of samples in the above site from SourceForge:
Express Data Parallelism (with OpenMP* and Intel® Compilers) without large scale modifications to serial code
Challenge
Express data parallelism in a non-invasive manner and produce threaded executables without large-scale modifications to the serial code. Intel® Compilers can automatically parallelize some loops by means of the -Qparallel option. In this scenario, however, the compilers err on the side of caution when they cannot guarantee correct parallel execution. This limits the degree to which this method can parallelize code.
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