Accelerate search performance with SVE2 MATCH on Arm servers

Who is this for?

This is an introductory topic for database developers, performance engineers, and anyone optimizing data processing workloads on Arm-based cloud instances.

What will you learn?

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

• Understand the purpose and function of SVE2 MATCH instructions.
• Implement a search algorithm using both scalar and SVE2-based MATCH approaches.
• Benchmark and compare performance between scalar and vectorized implementations.
• Analyze speedups and efficiency gains on Arm Neoverse-based instances with SVE2.

Prerequisites

Before starting, you will need the following:

• Access to an AWS Graviton4, Google Axion, or Azure Cobalt 100 virtual machine from a cloud service provider.