Enable reproducible math functions across vector extensions with Arm Performance Libraries

About this Learning Path

Who is this for?

This is an introductory topic for developers who want to produce reproducible code across vector extensions using math functions in Libamath, a component of Arm Performance Libraries.

What will you learn?

Upon completion of this Learning Path, you will be able to:

• Explain what numerical reproducibility means in numerical software
• Describe generic applications of numerical reproducibility in the industry
• Describe how reproducibility is defined and implemented in Libamath
• Enable and use reproducible Libamath functions in real applications

Prerequisites

Before starting, you will need the following:

• An Arm computer running Linux with Arm Performance Libraries version 26.01 or newer installed
• A C compiler such as GCC or Clang installed