Join AMD on an adventure thru Zen 2 and Zen 3 processors which power today’s game consoles and PCs. Dive into instruction sets, cache hierarchies, resource sharing, and simultaneous multi-threading. Journey across the sands of silicon to master microarchitecture and uncover best practices!
Design faster. Render faster. Iterate faster. Our one-stop resource for getting great AMD Ryzen performance.
This presentation by one of our engineers at GIC 2020 provides an introduction to the graphics pipeline.
This talk by AMD’s Lou Kramer at 4C in 2018 discusses optimising your engine using compute.
This talk by AMD’s Lou Kramer discusses optimising AAA Vulkan® titles on desktop.
Join AMD Game Engineering team members for an introduction to the AMD Ryzen family of processors followed by advanced optimization topics.
Learn about the high-performance AMD Zen 2 microarchitecture and profiling tools. Gain insight into code optimization opportunities and lessons learned.
This video will take you from the original source code down to the RDNA ISA. It covers control-flow, bindless resource access and scalarization, along with DXC, instruction selection, scheduling, and register allocation for the RDNA instruction set.
Learn about the details of RDNA and how it differs from the previous GCN architecture. Includes examples of optimizations based on the case study of implementing an efficient downsampler. Covers topics such as characteristics of workload distribution, shader optimizations, and efficient texture access.
One of our engineers explains a few small code changes that can help you integrate RenderDoc for more unconventional applications.
Radeon™ Memory Visualizer (RMV) is a tool provided by AMD for use by game engine developers. It allows engineers to examine, diagnose, and understand the GPU memory management within their projects.
Guest post by Sebastian Aaltonen, co-founder of Second Order. It covers optimising building the engine and asset production when using AMD Ryzen Threadripper processors.
Learn what a context roll on our GPUs is, how they apply to the pipeline and how they’re managed, and what you can do to analyse them and find out if they’re a limiting factor in the performance of your game or application.
