Integrate the AMD GPU Services (AGS) library, today!
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The AMD GPU Services (AGS) should be your first port of call when working with AMD GPUs.
It provides software developers with the ability to query AMD GPU software and hardware state information that is not normally available through standard operating systems or graphics APIs.
AGS includes support for shader extensions, shader compiler controls, querying graphics driver version information, GPU architecture characteristics, and Eyefinity (AMD’s multi-display rendering technology) configuration.
The AMD Radeon™ Anti-Lag 2 SDK enables games to reduce end-to-end system latency in GPU-bound scenarios on AMD Radeon GPUs.
Looking to improve your memory management?
Ourbattle-tested,open source memory allocation libraries for DirectX®12 and Vulkan® make allocating memory a piece of cake.
Dense Geometry Compression Format (DGF) is a block-based geometry compression technology developed by AMD.
It is a hardware-friendly format which will be directly supported by future GPU architectures.
The AMD Interactive Streaming SDK provides developers with a set of building blocks and samples that allow to easily create custom low-latency streaming solutions for cloud gaming, VDI, and embedded applications using AMD GPUs.
What if you could integrate cutting-edge reinforcement learning (RL) algorithms directly into your gaming projects – without lengthy workarounds or rebuilding environments from scratch?
AMD Schola is here to make that a reality. By connecting popular open-source RL libraries (written in Python) with the visual and physics capabilities of Unreal Engine, Schola empowers AI researchers and game developers alike to push the boundaries of intelligent gameplay.
Fast. Easy. Incredible. The Radeon™ ProRender Suite enables easy development of high quality rendering applications.
Radeon™ Machine Learning (Radeon™ ML or RML) is an AMD SDK for high-performance deep learning inference on GPUs.
Orochi enables a single library to use multiple backends at runtime.
The Orochi library loads HIP and CUDA® APIs dynamically, allowing you to switch between them at runtime.
Make it easier to write ray tracing applications in HIP!
Our HIP Ray Tracing library and API are designed to be simple to use and easy to integrate into any existing HIP applications.
Brotli-G is an open-source compression/decompression standard for digital assets (based on Brotli) that is compatible with GPU hardware.
The Render Pipeline Shaders (RPS) SDK provides a framework for graphics engines to use Render Graphs with explicit APIs (e.g. DirectX® 12 or Vulkan®), with a generally optimal resource barrier and memory aliasing scheduler.
Its compiler-like architecture is designed to be both controllable and extensible.
Compressonator is a set of tools to allow artists and developers to more easily work with compressed assets and easily visualize the quality impact of various compression technologies.
The GPU Performance API (GPUPerfAPI, or GPA) provides access to GPU Performance Counters. It can help analyze the performance and execution characteristics of applications using a Radeon™ GPU.
AMF is a light-weight, portable multimedia framework that abstracts away most of the platform and API-specific details.
It allows for easy implementation of multimedia applications using a variety of technologies, such as DirectX® 11, OpenGL®, and OpenCL® and facilitates an efficient interop between them.
ADLX is a modern library and SDK designed to access features and functionality of AMD systems in the categories of Display, 3D graphics, Performance Monitoring, GPU Tuning, and more.
The ADLX SDK is targeted primarily at developers and partners who are creating control and monitor applications.
LiquidVR™
LiquidVR™ provides a DirectX® 11 based interface for applications to get access to VR-focused GPU features.
True Audio Next (TAN)
AMD TrueAudio Next is an SDK for GPU accelerated and multi-core high-performance audio signal processing.
Reporting an issue
If you think you’ve found an issue with our SDKs please report it on the GitHub issue tracker for that project.
Alternatively you can reach out to us via@GPUOpen on Twitter.
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