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Examples include managing numerous\nanimated objects, implementing LOD systems, or handling dynamic\ntessellation. As scenes become increasingly complex, these build times can\nescalate significantly, impacting performance.",{"type":10,"tag":17,"props":29,"children":31},{"id":30},"_solution_space",[32],{"type":15,"value":33},"Solution Space",{"type":10,"tag":11,"props":35,"children":36},{},[37],{"type":15,"value":38},"The clustered geometry proposal seeks to resolve this challenge by allowing\napplications to build bottom-level acceleration structures using pre-generated\nclusters of primitives, significantly reducing build times.",{"type":10,"tag":17,"props":40,"children":42},{"id":41},"_proposal",[43],{"type":15,"value":44},"Proposal",{"type":10,"tag":11,"props":46,"children":47},{},[48],{"type":15,"value":49},"This document proposes three new acceleration structure types:",{"type":10,"tag":51,"props":52,"children":53},"ul",{},[54,60,65],{"type":10,"tag":55,"props":56,"children":57},"li",{},[58],{"type":15,"value":59},"Cluster Level Acceleration Structure (CLAS): A new type of acceleration\nstructure described in more detail below.",{"type":10,"tag":55,"props":61,"children":62},{},[63],{"type":15,"value":64},"Cluster Template: A partially constructed CLAS which can be instantiated to\nmultiple cluster level acceleration structures.",{"type":10,"tag":55,"props":66,"children":67},{},[68],{"type":15,"value":69},"Cluster BLAS: An alternative to the existing Bottom Level Acceleration\nStructure (BLAS), constructed from references to CLAS structures.",{"type":10,"tag":11,"props":71,"children":72},{},[73],{"type":15,"value":74},"A CLAS is an intermediate acceleration structure created from\ntriangles, which can then be used to build Cluster BLAS. The Cluster\nBLAS serves as an alternative to the traditional BLAS. The goal is for\napplications to organize mesh geometry into CLAS primitives before\ncreating the Cluster BLAS. To optimize trace performance, geometry\nshould be grouped into CLAS based on spatial proximity.",{"type":10,"tag":11,"props":76,"children":77},{},[78],{"type":15,"value":79},"A CLAS behaves similarly to a BLAS in many respects but has the\nfollowing differences:",{"type":10,"tag":51,"props":81,"children":82},{},[83,88,93,98,103],{"type":10,"tag":55,"props":84,"children":85},{},[86],{"type":15,"value":87},"Triangle and Vertex Limits: A CLAS can contain up to a small number\nof triangles and vertices.",{"type":10,"tag":55,"props":89,"children":90},{},[91],{"type":15,"value":92},"TLAS Integration: CLAS cannot be directly included in a TLAS. Instead, they are\nreferenced as part of a Cluster BLAS, which can be traced.",{"type":10,"tag":55,"props":94,"children":95},{},[96],{"type":15,"value":97},"Geometry Indices: Indices in a CLAS can be specified per primitive that are local\nto the CLAS and may be non-consecutive.",{"type":10,"tag":55,"props":99,"children":100},{},[101],{"type":15,"value":102},"ClusterID: A CLAS can be assigned a user-defined 32-bit ClusterID, which can\nbe accessed from a hit shader.",{"type":10,"tag":55,"props":104,"children":105},{},[106],{"type":15,"value":107},"Vertex positions in a CLAS can be quantized for better storage by implicitly\nzeroing a variable number of floating point mantissa bits.",{"type":10,"tag":11,"props":109,"children":110},{},[111],{"type":15,"value":112},"Cluster Templates are designed to efficiently instantiate CLAS in\nmemory. During the CLAS instantiation process from a Cluster Template, the actual\nvertex positions are provided, and the ClusterID as well as the geometry index can\nbe offset uniformly. Cluster Templates perform as much pre-computation as\npossible that is independent of final vertex positions, enabling reuse when\ngenerating multiple CLAS instances. A Cluster Template is a partially\nconstructed CLAS with the following distinctions:",{"type":10,"tag":51,"props":114,"children":115},{},[116,121,126,131,136],{"type":10,"tag":55,"props":117,"children":118},{},[119],{"type":15,"value":120},"It does not store or require vertex position data, however it can use it to\nguide the spatial relationship among triangles.",{"type":10,"tag":55,"props":122,"children":123},{},[124],{"type":15,"value":125},"Its size is smaller due to the absence of position information.",{"type":10,"tag":55,"props":127,"children":128},{},[129],{"type":15,"value":130},"It cannot be used for tracing or as a basis for building other acceleration structures.",{"type":10,"tag":55,"props":132,"children":133},{},[134],{"type":15,"value":135},"Bounding box information can be used in combination with the ability to zero some of\nthe floating point mantissa bits, to optimize the storage of the actual vertices at instantiation.",{"type":10,"tag":55,"props":137,"children":138},{},[139],{"type":15,"value":140},"It retains non-positional properties similar to a CLAS, which are\ninherited when the CLAS is instantiated.",{"type":10,"tag":11,"props":142,"children":143},{},[144],{"type":15,"value":145},"This extension provides a host-side query function to fetch the memory\nrequirements and a single versatile multi-indirect function for managing cluster\ngeometry which allows applications to generate CLAS geometry,\nconstruct Cluster BLAS from CLAS lists, and move or copy CLAS and BLAS.\nBy sourcing inputs from device memory and processing multiple elements\nsimultaneously, the call reduces the host-side costs associated with\ntraditional acceleration structure functions and enables device-driven scene preparation.",{"type":10,"tag":17,"props":147,"children":149},{"id":148},"_api_features",[150],{"type":15,"value":151},"API 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maxTrianglesPerCluster;\n    uint32_t                              clusterScratchByteAlignment;\n    uint32_t                              clusterByteAlignment;\n    uint32_t                              clusterTemplateByteAlignment;\n    uint32_t                              clusterBottomLevelByteAlignment;\n    uint32_t                              clusterTemplateBoundsByteAlignment;\n    uint32_t                              maxClusterGeometryIndex;\n} 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