CodeXL is a comprehensive tool suite that enables developers to harness the benefits of GPUs and APUs. CodeXL is available as a standalone user interface application for both Windows® and Linux®. It includes:

  • Powerful combined Host + GPU debugging
  • CodeXL LogoComprehensive GPU profiling
  • Static OpenCL™, OpenGL®, Vulkan® and DirectX® kernel/shader analysis capabilities

The CodeXL source code and released binary installers are available on the GitHub links below.

Combined Host and GPU Debugging

Combine  C/C++ debugging with comprehensive GPU debugging of OpenCL & OpenGL API calls. Peek into compute and graphic memory objects, monitor their contents, and detect memory leaks and code paths that caused it.

GPU Profiling

Collect and visualize GPU counter data, application trace, kernel occupancy and hotspots analysis for AMD APUs and GPUs. The profiler gathers data from the OpenCL™ and HSA run-time and AMD Radeon™ GPUs during the execution of an OpenCL™ or HSA application. This can be used to discover bottlenecks in an application and find ways to optimize the application’s performance for AMD platforms.


Static Shader Analysis

Compile and analyze the code of DirectX, OpenGL and Vulkan shaders, and OpenCL kernels.

  • Build offline regardless of the actual GPU hardware
  • View ISA disassembly
  • View GPU resource usage – quantity of consumed memory and scalar/vector registers
  • Performance advisory board
  • Generate binaries for shader pipelines and kernels

All without running the actual application!

Local and Remote Operation

CodeXL can run debug/profile/analysis sessions on the local station or communicate over the network with its remote agent for debugging/profiling on a remote target machine.


The latest CodeXL release is here: CodeXL 2.6. For earlier releases see the releases section.

Note: Support for pre-GCN GPUs has been discontinued in the latest releases and is available only in the legacy AMD CodeXL 1.9 release.

Technical Blogs

GPUOpen technical blogs about CodeXL