Building NDCTL Utilities from Source: A Comprehensive Guide

Building NDCTL Utilities from Source: A Comprehensive Guide

Building NDCTL with Meson on Ubuntu 24.04

The NDCTL package includes the cxl, daxctl, and ndctl utilities. It uses the Meson build system for streamlined compilation. This guide reflects the modern build process for managing NVDIMMs, CXL, and PMEM on Ubuntu 24.04.

If you do not install a more recent Kernel than the one provided by the distro, then it is not recommended to compile these utilities from source code. If you have installed a mainline Kernel, then you will likely require a newer version of these utilities that are compatible with your Kernel. See the NDCTL Releases as the Kernel support information is provided there.

Here is the support matrix as of ndctl Version 81 and Kernel 6.14:

NDCTL VersionLinux Kernel Version
v816.14
v806.11
v796.9
v786.5
v776.3
v76.16.2
v766.2
v756.1
v74.16.0
v735.19
v72.15.17

Prerequisites

Use the following steps to install the prerequisite packages before we start the build and compile phase.

  1. System Update:

    sudo  apt update && sudo apt upgrade -y
    
  2. Core Build Tools:

    sudo  apt install -y git meson ninja-build pkg-config automake autoconf
    
  3. Libraries and Tools:

    sudo  apt install -y  asciidoc asciidoctor ruby-asciidoctor xmlto libtool  libkmod-dev libsystemd-dev libudev0 libudev-dev uuid-dev libjson-c-dev libkeyutils-dev libinih-dev bash-completion keyutils libkeyutils-dev libiniparser-dev libtraceevent-dev libtracefs-dev
    

Step 1: Clone the Repository

git clone https://github.com/pmem/ndctl.git && cd ndctl

Step 2: Configure with Meson

Create a build directory and configure:

meson setup build

Step 3: Compile the Code

Build using Ninja (Meson’s backend):

meson compile -C build

Step 4: Install Binaries (Optional)

sudo meson install -C build

If you choose not to install the binaries, the individual commands can be found in the ndctl/build/<cmd> directory, ie:

  • cxl: ~/ndctl/build/cxl/cxl
  • ndctl: ~/ndctl/build/ndctl/ndctl
  • daxctl: ~/ndctl/build/daxctl/daxctl

Step 5: Verify Installation

cxl --version

Troubleshooting

Build Errors:

Should you encounter any issues during the configure or build processes, you clean and rebuild using rm -rf build && meson setup build.

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This is a vLLM Recipe - a production-ready Docker Compose configuration for running open-weight models on local hardware. It documents the exact setup, configuration rationale, and benchmark results so you can get a model running quickly. You are welcome to change the parameters to suit your workloads. This worked for me, so I hope you find it helpful.

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After many months of hard work by everyone involved, I’m very pleased to announce that the book “Programming Persistent Memory: A Comprehensive Guide for Developers” is now available for download in digital PDF & ePUB formats from https://pmem.io/book , and Kindle & paperback through Amazon .

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This revolutionary new technology gives applications significant performance and capacity improvements over existing technologies. It requires a new way of thinking and developing, which makes this highly disruptive to the IT/computing industry. The full spectrum of industry sectors that will benefit from this technology include, but are not limited to, in-memory and traditional databases, AI, analytics, HPC, virtualization, and big data.   
Programming Persistent Memory describes the technology and why it is exciting the industry. It covers the operating system and hardware requirements as well as how to create development environments using emulated or real persistent memory hardware. The book explains fundamental concepts; provides an introduction to persistent memory programming APIs for C, C++, JavaScript, and other languages; discusses RMDA with persistent memory; reviews security features; and presents many examples. Source code and examples that you can run on your own systems are included.
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- Become familiar with the operating system and hardware requirements to use persistent memory
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- Study how real-world applications are modified to leverage persistent memory
- Utilize the tools available for persistent memory programming, application performance profiling, and debugging
Who This Book Is For
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