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v1.0 2019-10-15

  • Introduction
  • New Wave Intrinsics
    • Overview

This doc covers the new shader model 6.5 for Vibranium release (20H1).With the exception of the WaveMatch and WaveMultiPrefix intrinsics,the new features are defined in separate documents.

DXR 1.1

DirectX Raytracing (DXR) Tier 1.1 adds:

  • uint GeometryIndex():a new intrinsic for retrieving the generated geometry indexto the existing raytracing shader types with intersection information(intersection, any hit, and closest hit).
  • RayQuery:a new object, available to every shader stage,that enables inline access to raytracing operations.

Feature support is indicated by theRaytracing Tier.

See theDirectX Raytracing (DXR) Functional specfor details.

Sampler Feedback

Sampler Feedback is an optional feature available in shader model 6.5that adds 2 new Texture resource types:FeedbackTexture2D<type> and FeedbackTexture2DArray<type> to HLSL.These resource types have a template argumentspecifying the format of the feedback map.

See theHLSL section of the Sampler Feedback specfor details.

Mesh and Amplification Shaders

Two new shader types are added to HLSL for the new mesh shader graphics pipeline.These are Mesh Shaders ms_6_5 and Amplification Shaders as_6_5.

See theMesh Shader specfor details.

WaveMatch(), and a number of WaveMultiPrefix*() intrinsics,are available starting with shader model 6.5,when the optional Wave Intrinsics feature is supported.

All shader stages, except for Raytracing shaders,support wave intrinsics as of shader model 6.5.

Shader Model 5.0 Free Download For Windows 10

Overview

Shader model 6 introduces a set of data parallel wave intrinsics, whichimplement fundamental computational primitives such as voting,reductions and prefix operations among the lanes in a wave. Theseintrinsics are valuable tools for many compute algorithms, exploitingefficiency of SIMD execution model of modern GPUs.

Shader model 6.5 adds two new classes of wave intrinsics.They are useful for many data parallel algorithms involvingdeduplication of data streams,coalescing of memory operations,and implementing efficient concurrent data structuressuch as hash tables and maps.In particular, these new intrinsics are important building blockstexture-space shading,and provide support for index buffer deduplication in the context of themeshlet programming model.

We believe these data parallel primitives will grow in importance asapplications embrace more compute-centric algorithms.

As with the other wave intrinsics,when executed in pixel shaders,these intrinsics operate as if helper lanes are not activewhen executing the wave intrinsic.This means that the value returned by a wave intrinsicis only defined on active, non-helper lanes.Similarly, the inputs to a wave intrinsic on helper lanesdo not impact the result returned from that wave intrinsicon active, non-helper lanes.

WaveMatch() Function

uint4 WaveMatch( <type> val )

The WaveMatch() intrinsic compares the value of the expression in the current laneto its value in all other active lanes in the current wave and returns abitmask representing the set of lanes matching current lane’s value.

val can be any expression which evaluates to any of the currentlysupported primitive data types (e.g. float4, uint2, etc.).

The return value is a uint4 representing a 128b bit mask whichidentifies lanes in the current wave matching current lane’s value of val.Bits in the mask corresponding to inactive lanes, or at positionsbeyond current implementation’s wave width, will contribute 0’s.Bits in the mask corresponding to active laneswhich match the value of val in the current lane will be set to 1.The bit in the mask corresponding to the current lane will always be set to 1.

In pixel shaders, bits corresponding to helper lanes are set to 0,and on helper lanes, the resulting bitmask is undefined.

WaveMatch() Illustration

The following table demonstrates the action ofWaveMatch() assuming an implementation with a wave width of 8 lanes.Lanes 0 and 4 are inactive or helper lanes, indicated by “-”.Bits in the mask beyond bit position 7are guaranteed to be cleared (effective mask width is 8).

laneID76543210
input15-1-1-1230123-
mask.x0x800x600x60-0x0a0x040x0a-

WaveMultiPrefix*() Functions

WaveMultiPrefix*() is a set of functions which implementmulti-prefix operations among the set of active lanes in the current wave.

A multi-prefix operation comprises a set of prefix operations, executedin parallel within subsets of lanes identified with the provided bitmasks.These bitmasks represent partitioning of the set of activelanes in the current wave into N groups(where N is the number of unique masks across all lanes in the wave).N prefix operations are then performed each within its corresponding group.The groups are assumed to be non-intersecting(that is, a given lane can be a member of one and only one group),and bitmasks in all lanes belonging to the same group are required to be the same after excluding inactive/helper lane in the bitmask.

The following operations evaluates multiple prefix operations within groups of threads identified by mask:

<type> can be any of the currently supportedinteger or floating point primitive types.

<int_type> can be any of the currently supportedinteger primitive types.

val is the value to perform the prefix operation on.

mask is a 128b bitmask,representing the partitioning of the current wave into groups of lanes,as described above.Bits in the masks at positions beyond current implementation’s wave width,or corresponding to inactive or helper lanes, are ignored (assumed to be 0).If the masks do not form non-intersecting subsets of lanes,then the values returned by this intrinsic are undefined.Bitmasks for all lanes belonging to the same group are required to match,otherwise the results returned by this intrinsic are undefined.

Returned <type> is the same type as the input type for val.The result of the prefix operation is computed withvalues from prior lanes in the same group only;it does not include the value from the current lane.A postfix value would be computed byapplying the corresponding operator betweenthe result of the prefix operationand the value passed in to the prefix operation.

<type> WaveMultiPrefixSum( <type> val, uint4 mask )

val0 + val1 + val2 …

<type> WaveMultiPrefixProduct( <type> val, uint4 mask )

val0 * val1 * val2 …

uint WaveMultiPrefixCountBits( bool val, uint4 mask )

(val0 ? 1 : 0) + (val1 ? 1 : 0) + (val2 ? 1 : 0) …

<int_type> WaveMultiPrefixAnd( <int_type> val, uint4 mask )

5.0

val0 & val1 & val2 …

<int_type> WaveMultiPrefixOr( <int_type> val, uint4 mask )

val0 val1 val2 …

<int_type> WaveMultiPrefixXor( <int_type> val, uint4 mask )

val0 ^ val1 ^ val2 …

WaveMultiPrefixSum() Illustration

The following table demonstrates the action ofWaveMultiPrefixSum(), assuming an implementation with wave width of 8 lanes.Lane 1 is an inactive or helper lane, and is indicated by “-”.

laneID76543210
mask.x0xe00xe00xe00x140x090x14-0x0b
value541-230-6
output510060-0

Note how subset with mask.x 0x0b refers to lane 1,which is either inactive or is a helper lane.This doesn’t affect the result since bits in the maskcorresponding to inactive or helper lanes are ignored.

Example usage

WaveMatch() and WaveMultiPrefix*() intrinsics are designed to work together.In particular, the masks returned by the WaveMatch() intrinsic can be used directlyas group masks in the WaveMultiPrefix*() set of intrinsics.

The following illustrates obtaining an equivalent resultto a WaveMultiPrefixSum operation using theWaveReadLaneFirst and WavePrefixSum intrinsics.However, using the new wave intrinsics provides moreoptimization opportunities for hardware to take advantage of.

The following example demonstrates how to coalesce atomic OR operations to a surfacewith x,y coordinates computed dynamically per lane.

First, WaveMatch() is used to identify sets of threadswhich have the same x,y coordinates(that is, will update the same location in memory).Then, a single thread from each set is elected to issue a single atomic operationto memory on behalf of all lanes in the set.The WaveMultiPrefixBitOr() function is used to apply bitwise-ORreduction within multiple sets of colliding lanes concurrently,the results of which are then used in the elected threads to issue atomic operations to memory.