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.
There are many options to manage Intel® Advisor analyses overhead depending on code of your application and data you want to collect.
Intel Advisor's integer-based Roofline chart eases application optimization with visual guidance.
In this article, we discuss how to use the command-line interface in Intel® Advisor 2019.