This page lists fixes that have been made in Intel Professional Edition Compilers 11.1.
Advice and background information is given on typical issues that may arise when threading an application using the Intel Fortran Compiler and other software tools, whether using OpenMP, automatic parallelization or threaded libraries.
This note explains how to configure the Weather Research & Forecasting (WRF) run-time environment in order to achieve best performance and scalability on Intel® architecture with Intel® software tools.
This article explains how to create your own OpenMP* thread mapping to OS proc IDs with Intel® C/C++ and Fortran compiler, by setting environment variable KMP_AFFINITY. It also provides some thread affinity demo results on when use different settings.
The newest releases of the Intel® C++ and Fortran Compilers support new features in the OpenMP* 3.1 Specification
An application compiled with -Qopenmp (Windows*)/-openmp (Linux*) and run on a host not containing a genuine Intel® processor may generate bogus OMP: Warning #71 and Warning #72.
Due to an issue with the default libthread library on Pardus Linux* version 2011.2, 64-bit, the debugger cannot detect which threading library is being used by the debuggee.
The compiler does not parallelize OpenMP loops that contain a "continue" statement in a C++ catch block inside the parallel region.
This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
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.