RXMesh v0.2.1

• Integrate Polyscope as a mesh viewer + demo
• Implement user-defined binary reduction operations on attributes
• Use memcpy_async for reading from global memory to shared memory
• API for allowing multiple queries in a single kernel
• Add validation function to make sure that the internal data structure is consistent (useful for dynamic changes support in RXMesh)
• Initial support for edge flip
• Update README with better documentation on how to use RXMesh for writing applications

v0.2.0

Highlights:

• Eliminate global index space and identify mesh elements using the combination of their patch index and their local index within the patch
• All query operation no longer needs to map their output to global index space
• Allocating Attributes per-patch basis instead of a single large array
• Introduce Vertex/Edge/FaceHandle to improve type safety which is used to identify different mesh element and index the mesh Attributes
• Introduce LocalVertex/Edge/FaceT to improve type safety for internal implementation of local index space
• Attributes are now managed by RXMeshStatic using add_vertex/edge/face_attribute() API
• Introduce for_each_vertex/edge/face() API in RXMeshStatic for simple operations on the mesh that do not require query operations (i.e., map operations) for both CUDA and OpenMP backend
• Introduce ReduceHandle to do reduction operations on Attribute and so reduction operation temp memory is no longer handle by Attribute itself
• Improve the documentation for most of the user-facing APIs
• Removing code related to shuffling and sorting the input mesh (it was only relevant to reproduce SIGGRAPH paper results)
• Accurately report the register usage and static shared memory used by the kernel by using the (pointer to) kernel itself instead of the prototype function
• Improve initializing the data structure by removing duplicate supporting structure that were created by both RXMesh and Patcher and by using OpenMP when possible in RXMesh

Known Issues:

• Some queries (VE, VF, and higher queries) now require more registers per thread and thus they might fail on some (less powerful) GPUs.

v0.1.0

This is the initial release of RXMesh that contains the code which can be used to reproduce the results presented in the SIGGRAPH 2021 paper.