Mesh Draw Extraction Refactor #116901
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Reference: blender/blender#116901
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Current Issues
Proposal
parallel_for
MeshExtract
classNot sure if related to this particular refactor, but one thing to watch out for, when writing directly into some GPU buffer (i.e. not a regular CPU buffer you have allocated yourself, but a pointer you get from the graphics API/driver for "write into some GPU memory directly"): you really really really want to write data linearly, and never read it.
So if, for example, the destination vertex buffer uses interleaved "pos0, normal0, pos1, normal1, pos2, normal2" layout, then you want to avoid "write all the positions, leaving gaps, then later on write all the normals into the gaps" pattern. If source data is separate positions and normals array, this means you do want to iterate over both source arrays at once.
The reason for all of this is that when writing directly into the vertex buffer, in (many, but not all) cases it uses a "CPU uncached" type of memory, where leaving gaps or reading from it can be very, very slow.
Thanks, great information! I believe the vertex buffers from the GPU API are still allocated completely by our own CPU allocator (see
GLVertBuf::acquire_data()
which usesMEM_mallocN
). I'm assuming we'd want to change that in the future though, so it seems right to keep that in mind.In #116902 I already did run into a situation like that, though the "gaps" are only the 2 bits in the
w
field ofGPUPackedNormal
. I wanted to reduce branching by filling in those bits in separate loops. Maybe an alternative is to calculate the normals into small local chunks and copy those to the VBO data?Side note: in that patch I'm trying out dropping the interleaved normals and positions in favor of using the existing separate "lnor" VBO instead. I'm guessing there are more aspects of how that interacts with GPU performance to keep in mind.
Then yeah, it would not be an issue right now.
Using bitfields like that, if this was writing into a GPU memory directly, would be pretty bad. Since bitfields generally work by "read some bytes, modify the needed bits, write out bytes back", and the "read" part from the GPU memory would be slow. But as you mention above, that's not an issue today.
If it were an issue at some point, then even something simple like declaring a local variable for compressed normal, calculating into that, and memcpy the four bytes into destination would likely be fine.
Writing directly to the GPU driver allocated memory is something we were thinking of. But might require conversions as not all drivers support all combinations. Vulkan backend has some tooling
vk_data_conversions
to help with this specific task. But isn't designed yet to be shared with other backends.Adding a separate step of conversions after writing to the buffer initially doesn't seem like a good solution to me, unless we don't care about performance for that backend. We should be able to insert the correct conversion step directly into the "extraction" process. i.e. if some backend doesn't support
GPUPackedNormal
, we should be able to compile the existing extraction with a conversion toGPUNormalForOtherAPI
instead.Our vulkan backend does this on the fly when “uploading” to the driver. We should promote such feature to the vertex buffer builder. Requires some changes to the API, but could remove the intermediate buffer completely.
Conversion would than happen inline when adding data to the builder and written directly to driver owned memory.
This would be a very welcome change for UMA architectures like Apple Silicon. Currently we have Shared buffers wherein the CPU data is instantly visible to the GPU, but equally for fallback support, standard mapping/unmapping via Managed buffers which flush host data back to the GPU work well too.
(Some of this may have been talked above or on the blender.chat threads, however)
Another change I would be an advocate for is with the possibility of allowing the GPU module to own the synchronization for buffer updates. i.e. at the moment, if we require up-to-date mesh data, the stall happens on the host side prior to command encoding (the
BLI_task_pool_work_and_wait()
command.Instead, splitting the buffer allocation and data population would allow better pipelining of the GPU and CPU, as command encoding could happen in parallel with the host data population. Buffer allocation should happen up-front, but population synchronization could execute in parallel with command encoding and even some initial GPU processing.
The backend could then either decide to wait for vertex buffer data to be ready at submission time, or for the API's that allow it, submit the GPU work and then stall pending completion of the CPU threads.
For Metal specifically, this can be achieved with an MTLSharedEvent wherein certain aspects of the GPU work can be stalled until a flag is set. Flags could be specified on a per vertex buffer basis, and we could simply encode waits in the GPU command stream, which would allow the GPU to make partial progress on a frame.
From a rough calculation say looking at Tree-Creatures animation stack, only around 75% of the frame is spent with animation fetching, wherein the remaining 25% is spent with general command encoding and scene processing, which could theoretically run in parallel along-side mesh extraction if the GPU backend did not need to wait for fully populated vertex buffers to be ready.