Reference Link and Download
Intel Vectorization Tools
Get an overview of parallelization using the Intel® MPI Library and links to additional documentation.
Cache Blocking Techniques Overview
Memory Layout Transformations Overview
This article discussions parallelization and provides links that will help you understand your programming environment and evaluate the suitability of your app.
Optimization reports from the Intel® compilers guide the developer with optimization details
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.
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.
In this pair of articles on performance and memory covers basic concepts to provide guidance to developers seeking 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.