Living Long and Prospering
What happened in the one year since launch?
The open fork of AMD’s Mantle, the Vulkan API, was released exactly a year ago with, as we reported, a hard launch. This meant public, but not main-branch drivers for developers, a few public SDKs, a proof-of-concept patch for The Talos Principle, and, of course, the ratified specification. This sets up the API to find success right out of the gate, and we can now look back over the year since.
Thor's hammer, or a tempest in a teapot?
The elephant in the room is DOOM. This game has successfully integrated the API and it uses many of its more interesting features, like asynchronous compute. Because the API is designed in a sort-of “make a command, drop it on a list” paradigm, the driver is able to select commands based on priority and available resources. AMD’s products got a significant performance boost, relative to OpenGL, catapulting their Fury X GPU up to the enthusiast level that its theoretical performance suggested.
Mobile developers have been picking up the API, too. Google, who is known for banishing OpenCL from their Nexus line and challenging OpenGL ES with their Android Extension Pack (later integrated into OpenGL ES with version 3.2), has strongly backed Vulkan. The API was integrated as a core feature of Android 7.0.
On the engine and middleware side of things, Vulkan is currently “ready for shipping games” as of Unreal Engine 4.14. It is also included in Unity 5.6 Beta, which is expected for full release in March. Frameworks for emulators are also integrating Vulkan, often just to say they did, but sometimes to emulate the quirks of these system’s offbeat graphics co-processors. Many other engines, from Source 2 to Torque 3D, have also announced or added Vulkan support.
Finally, for the API itself, The Khronos Group announced (pg 22 from SIGGRAPH 2016) areas that they are actively working on. The top feature is “better” multi-GPU support. While Vulkan, like OpenCL, allows developers to enumerate all graphics devices and target them, individually, with work, it doesn’t have certain mechanisms, like being able to directly ingest output from one GPU into another. They haven’t announced a timeline for this.