![AMD FSR 3 banner](https://gpuopen.com/wp-content/uploads/2023/08/FSR-3-amd-banner.jpg)
AMD FSR 3.1 now available in five games, source code coming next month
FSR 3.1 is now available for gamers to experience first hand. Find out more with this AMD.com blog post.
Home » News
FSR 3.1 is now available for gamers to experience first hand. Find out more with this AMD.com blog post.
Features stable support for RADV drivers for AMF on Linux in VideoConverter / HQScaler / VideoEncoder (experimental for decoder), DX11 support for FRC component, Linux support for DVR sample.
VMA V3.1 gathers fixes and improvements, mostly GitHub issues/PRs, including improved compatibility with various compilers and GPUs.
Register pressure of GPU kernels has a tremendous impact on performance. This post provides a practical demo on applying recommendations.
In this third part, we cover additional optimizations to fine tune the performance of the kernel, and introduce temporary files, register pressure, and occupancy.
AMD Capsaicin Framework is a research framework for real-time graphics which we have been using to develop and test new and upcoming rendering algorithms. We are now releasing it to the public.
This presentation is a practical implementation of a solution aimed at making the most of every sample by caching the estimated radiance into a cache hierarchy used for both sampling and filtering.
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 Memory Visualizer v1.6 adds improved device configuration information, and more parameters on the resource details pane.
Radeon Raytracing Analyzer v1.2 introduces ray face culling flags, a ray traversal histogram, a geometry list pane, and an instance mask.
Radeon GPU Profiler v1.15 adds an enhanced user experience for GPU ISA disassembly, mesh shader event names, WMMA support, and more.
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.
This talk focuses on temporal upscaling, describing how the algorithm generates a final image and how FSR mitigates against common artifacts.