The GPU in your computer is about 10 to 100 times more powerful than the CPU, depending on workload. For real-time graphics rendering and machine learning, you are enjoying that power, and doing those workloads on a CPU is not viable. Why aren’t we exploiting that power for other workloads? What prevents a GPU from being a more general purpose computer?| Raph Levien’s blog
Hi everyone, Today we’re excited to announce the newest Preview Agility SDK v1.715.0, download here. Since this is a preview SDK, the new features are not in final state and thus only available via Developer Mode within Windows (see the prerequisites section for more). This preview serves as a first look to explore what might […]| DirectX Developer Blog
We’re pleased to announce the release of our latest Agility SDK, complete with features we’ll be showcasing at GDC 2024. Get started today with the retail versions of Work Graphs, Shader Model 6.8, GPU Upload Heaps, and more! SDK Package Features SDK 1.613.3 Work Graphs Shader Model 6.8 Work Graphs support Start Vertex/Instance Location Wave […]| DirectX Developer Blog
Work graphs are a system for GPU autonomy in D3D12. Given the increasing prevalence of general compute workloads on GPUs, the motivation is to address some limitations in their programming model, unlock latent GPU capabilities, and enable future evolution.| DirectX Developer Blog