
AMD support for Microsoft® DirectML optimization of Stable Diffusion
AMD has driver support for a metacommand implementation intended to improve performance and reduce the time it takes to generate output from the model.
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AMD has driver support for a metacommand implementation intended to improve performance and reduce the time it takes to generate output from the model.
Get the highlights from our GDC 2023 sessions and FidelityFX-related reveals, and find links to videos and slide decks.
Updates to our Unreal Engine plugin for AMD FidelityFX Super Resolution 2.2, including ghosting improvements and support for UE 5.1.
In this third part, we cover additional optimizations to fine tune the performance of the kernel, and introduce temporary files, register pressure, and occupancy.
Register pressure of GPU kernels has a tremendous impact on performance. This post provides a practical demo on applying recommendations.
Real-time global illumination is key to enabling dynamic and believable game worlds. This video covers a powerful solution for fast, real-time GI.
AMD Capsaicin Framework is a research framework for real-time graphics which we use to develop and test new and upcoming rendering algorithms.
This tutorial demonstrates key RPS SDK API usage, provides an informal introduction to RPSL, and explains how the RPS Render Graph is built.
The latest release of the Render Pipeline Shaders (RPS) SDK adds Linux support, the ability to dynamically load Vulkan functions, and more. Check out this post for the full release notes.
Radeon GPU Profiler v1.15 adds an enhanced user experience for GPU ISA disassembly, mesh shader event names, WMMA support, and more.
Radeon Raytracing Analyzer v1.2 introduces ray face culling flags, a ray traversal histogram, a geometry list pane, and an instance mask.
Radeon Memory Visualizer v1.6 adds improved device configuration information, and more parameters on the resource details pane.
This post gives an overview of AMD’s open source profiling tools, helping you diagnose bottlenecks and understand how your application is using the hardware.