This page lists fixes that have been made in Intel Professional Edition Compilers 11.1.
Absence of sufficient information about "Parallel Lint" restrained the author's abilities and the article turned out to be just a preliminary variant of the comparison.
I've got a great wife. For my birthday she got me a copy of the newly updated Introduction to Algorithms, 3rd ed. by Cormen, Leiserson, Rivest, and Stein.
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.
Using Intel® Math Kernel Library and Intel® Integrated Performance Primitives in the Microsoft* .NET* FrameworkThis article is about calling intel® MKL and Intel® from .NET framework
With automatic parallelization, the compiler detects loops that can be safely and efficiently executed in parallel and generates multithreaded code.
How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Application programmers sometimes write hand-coded synchronization routines rather than using constructs provided by a threading API in order to reduce synchronization overhead or provide different functionality than existing constructs offer.
The multi-core performance of a legacy Fortran benchmark unsuited to data parallelism is enhanced by threading using the TASK construct of OpenMP and the Intel Fortran Compiler. The necessary source code changes are explained in detail.