Learn about glibc with Large System Extensions (LSE) for performance improvement
Introduction
Build Glibc with LSE
Start MongoDB utilizing the newly built Glibc with LSE
Benchmark MongoDB with YCSB
Compare the results with LSE and NoLSE
Review
Next Steps

  Log an issue

  Fork and edit

  Discuss on Discord

About this Learning Path

Skill level:  Advanced
Reading time:  1 hr
Last updated:  27 Jan 2024
Skill level:
  Advanced
Reading time:
  1 hr
Last updated:
  27 Jan 2024
Author:Ying Yu, Arm
Arm IP:Neoverse
Tags: Performance and Architecture Linux Glibc LSE MongoDB
Author:
Ying Yu, Arm
Arm IP:
Neoverse
Tags:
Performance and Architecture Linux Glibc LSE MongoDB

Who is this for?

This is an advanced topic for software developers interested in learning how to improve the performance of their workloads on Arm servers.

What will you learn?

Upon completion of this learning path, you will be able to:

  • Build and install glibc with LSE on an Arm server
  • Benchmark workload performance using glibc with LSE optimizations
  • Benchmark MongoDB using glibc with LSE optimizations

Prerequisites

Before starting, you will need the following:

  • An Arm based instance from a cloud service provider.
  • Review the learning path on LSE
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