Package org.lwjgl.vulkan

Class EXTConservativeRasterization

java.lang.Object
org.lwjgl.vulkan.EXTConservativeRasterization
public final class EXTConservativeRasterization extends Object
This extension adds a new rasterization mode called conservative rasterization. There are two modes of conservative rasterization; overestimation and underestimation.

When overestimation is enabled, if any part of the primitive, including its edges, covers any part of the rectangular pixel area, including its sides, then a fragment is generated with all coverage samples turned on. This extension allows for some variation in implementations by accounting for differences in overestimation, where the generating primitive size is increased at each of its edges by some sub-pixel amount to further increase conservative pixel coverage. Implementations can allow the application to specify an extra overestimation beyond the base overestimation the implementation already does. It also allows implementations to either cull degenerate primitives or rasterize them.

When underestimation is enabled, fragments are only generated if the rectangular pixel area is fully covered by the generating primitive. If supported by the implementation, when a pixel rectangle is fully covered the fragment shader input variable builtin called FullyCoveredEXT is set to true. The shader variable works in either overestimation or underestimation mode.

Implementations can process degenerate triangles and lines by either discarding them or generating conservative fragments for them. Degenerate triangles are those that end up with zero area after the rasterizer quantizes them to the fixed-point pixel grid. Degenerate lines are those with zero length after quantization.

Name String
VK_EXT_conservative_rasterization
Extension Type
Device extension
Registered Extension Number
102
Revision
1
Extension and Version Dependencies
VK_KHR_get_physical_device_properties2 or Version 1.1
SPIR-V Dependencies
Contact
Other Extension Metadata
Last Modified Date
2020-06-09
Interactions and External Dependencies
Contributors
  • Daniel Koch, NVIDIA
  • Daniel Rakos, AMD
  • Jeff Bolz, NVIDIA
  • Slawomir Grajewski, Intel
  • Stu Smith, Imagination Technologies