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.
Vectorization essentials to effectively use feature in the Intel® Xeon product family
How to install, configure and use the IMSL* Fortran Numerical Library as supplied by Intel for use with Intel Visual Fortran Compiler.
Vectorizing improves performance, and achieving high performance can save power. Introduction to tools for vectorizing compute-intensive processing.
Apply the concepts of parallelism and distributed memory computing to your code to improve software performance. This paper expands on concepts discussed in Part 1, to consider parallelism, both vectorization (single instruction multiple data SIMD) as well as shared memory parallelism (threading), and distributed memory computing.
Silent & non-interactive installation for Intel® Composer XE 2011 (version 12.x), Intel® Compiler Professional 11.1
This page provides system requirements and release notes for Intel® System Studio.
This article focuses on the steps to improve software performance with vectorization. Included are examples of full applications along with some simpler cases to illustrate the steps to vectorization.