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GeometryFX 1.2 – Cluster Culling

This update for GeometryFX introduces cluster culling. Previously, GeometryFX worked on a per-triangle level only. With cluster culling, GeometryFX is able to reject large chunks of the geometry – with corresponding performance increases. Learn more.

Rocking ROCm-GDB's New Features

The ROCm Debugger provides a gdb-based debugging environment for debugging host application and GPU kernels running on Radeon Open Compute platforms (ROCm). Learn more about the latest features in the recent ROCm-GDB release in this new blog post.

Getting Started with Boltzmann

The Boltzmann initiative exposes cutting edge compute capabilities and features on targeted AMD Radeon™ discrete GPUs through an open source software stack. Learn how to get started with Boltzmann in this new GPUOPen blog.

An Intro to the AGS Library

The AMD GPU Services library provides functionalities not found in current APIs. Learn more about the new GDB disassemble feature, and get all of the details in this new AGS library technical blog on GPUOpen.


Videos about New Tools & Technologies

GPUOpen: Shader Intrinsic Functions
Shader Intrinsic Functions, also called built-in functions, provide a way...
AMD - It's Time to ROC
In this video from the HPC User Forum in Tucson,...
Discover Virtual Reality in Healthcare
USC’s Institute for Creative Technologies integrates Virtual Reality into healthcare...

It’s HIP to be Open! Convert your Cuda code to C++ using AMD’s new HIP tool.

AMD, a strong proponent of open source and open standards, has created a new tool that will allow developers to convert CUDA code to common C++. This new Heterogeneous-compute Interface for Portability, or HIP, is a tool that provides customers with more choice in hardware and development tools. Download the HIP datasheet here.

Unlocking the Full Potential of the GPU with Asynchronous Shaders

Have you ever wondered how to be in two places at once? Well, we haven’t quite solved the cloning problem yet, but we can show you how to do two things at once, using asynchronous shaders in DirectX® 12 and Vulkan™ in this whitepaper.

OpenCL 2.0 Demystified

AMD provides full support for the OpenCL™ 2.0 specification, as well as support for some optional features like Fine Grain Shared Virtual Memory. There are a lot of new and powerful capabilities in this version of the standard. We know that programming for a new API and new capabilities can be daunting. If you’d like to learn what you can do, and how to do it, check out the OpenCL 2.0 Demystified blog series. AMD engineers walk you through the code and show you how features like Shared Virtual Memory, Pipes, Device Enqueue and many more actually work. Read the blogs, and learn what you can do. Happy Coding!

Conference, Webinar and Event Presentations

Want to take another look at an interesting conference presentation? Missed an event you hoped to see? Browse our collection of technical presentations from developer conferences, industry events and Webinars around the world covering a wide variety of heterogeneous computing topics such as Mantle, C++, rendering, shaders, game development, Java, graphics, libraries, OpenCL™ and much more.


AMD LiquidVR™ Technology for Developers

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LiquidVR™ is an AMD technology initiative aimed at enabling a fully immersive and comfortable virtual reality experience by creating a new programming model that fully exploits the capabilities of modern GPUs, like ...



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