Hardware performance counters are perfect for code optimization, especially in embedded systems with a single workload. They are actively used by a wide range of tracing and profiling tools. This recipe will introduce the Linux performance counters subsystem and show how to use it.
Using the kernel's performance counters
by Alex Gonzalez
Embedded Linux Development Using Yocto Project Cookbook - Second Edition
- Preface
- The Build System
- Introduction
- Setting up the host system
- Installing Poky
- Creating a build directory
- Building your first image
- Explaining the NXP Yocto ecosystem
- Installing support for NXP hardware
- Building Wandboard images
- Using the Toaster web interface
- Running a Toaster Docker container
- Configuring network booting for a development setup
- Using Docker as a Yocto build system container
- Sharing downloads
- Sharing the shared state cache
- Setting up a package feed
- Using build history
- Working with build statistics
- Debugging the build system
- The BSP Layer
- Introduction
- Creating a custom BSP layer
- Adding a custom kernel and bootloader
- Building the U-Boot bootloader
- Describing Linux's build system
- Configuring the Linux kernel
- Building the Linux kernel
- Building external kernel modules
- Debugging the Linux kernel and modules
- Debugging the Linux kernel booting process
- Using the kernel function tracing system
- Managing the device tree
- Debugging device tree issues
- The Software Layer
- Introduction
- Exploring an image's contents
- Adding a new software layer
- Selecting a specific package version and provider
- Adding supported packages
- Adding new packages
- Adding data, scripts, or configuration files
- Managing users and groups
- Using the sysvinit initialization manager
- Using the systemd initialization manager
- Installing package installation scripts
- Reducing the Linux kernel image size
- Reducing the root filesystem size
- Memory-based root filesystems
- Securing the root filesystem
- Releasing software
- Analyzing your system for compliance
- Working with open source and proprietary code
- Application Development
- Introduction
- Introducing toolchains
- Preparing an SDK
- Using the extensible SDK
- Using the Eclipse IDE
- Developing GTK+ applications
- Using the Qt Creator IDE
- Developing Qt applications
- Describing workflows for application development
- Working with GNU make
- Working with the GNU build system
- Working with the CMake build system
- Working with the SCons builder
- Developing with libraries
- Working with the Linux framebuffer
- Using the X Windows system
- Using Wayland
- Adding a web browser application
- Adding Python applications
- Integrating the Open Java Development Kit
- Integrating Java applications
- Integrating Node.js applications
- Running Docker application containers
- Debugging, Tracing, and Profiling
- Introduction
- Analyzing core dumps
- Native GDB debugging
- Cross GDB debugging
- Using strace for application debugging
- Using the kernel's performance counters
- Using static kernel tracing
- Using dynamic kernel tracing
- Using dynamic kernel events
- Exploring Yocto's tracing and profiling tools
- Tracing and profiling with perf
- Using SystemTap
- Using LTTng
- Using blktrace
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Using the kernel's performance counters
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