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.
Download this guide for developing multithreaded applications, which also includes general topics such as application threading and synchronization.
This page provides system requirements and release notes for Intel® System Studio.
Part one of a five-part series, this article teaches a methodology to interpret statistics gathered during test runs and use those interpretations to improve parallel code.
By Jim Dempsey