Issue: Inefficient memory access patterns present

There is a high of percentage memory instructions with irregular (variable or random) stride accesses. Improve performance by investigating and handling accordingly.

Recommendation: Use SoA instead of AoS

An array is the most common type of data structure containing a contiguous collection of data items that can be accessed by an ordinal index. You can organize this data as an array of structures (AoS) or as a structure of arrays (SoA). While AoS organization is excellent for encapsulation, it can hinder effective vector processing. To fix: Rewrite code to organize data using SoA instead of AoS.

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Case study: Comparing Arrays of Structures and Structures of Arrays Data Layouts for a Compute-Intensive Loop and Vectorization Resources for Intel® Advisor Users

Recommendation: Use Intel SDLT

The cost of rewriting code to organize data using SoA instead of AoS may outweigh the benefit. To fix: Use Intel SIMD Data Layout Templates (Intel SDLT), introduced in version 16.1 of the Intel compiler, to mitigate the cost. Intel SDLT is a C++11 template library that may reduce code rewrites to just a few lines.

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Vectorization Resources for Intel® Advisor Users

Recommendation: Reorder loops

This loop has less efficient memory access patterns than a nearby outer loop. To fix: Run a Memory Access Patterns analysis on the outer loop. If the memory access patterns are more efficient for the outer loop, reorder the loops if possible.