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2020-05-25Fix T76925: more Cycles OpenCL compile errors with some drivers on LinuxBrecht Van Lommel
2020-03-05Adaptive Sampling for Cycles.Stefan Werner
This feature takes some inspiration from "RenderMan: An Advanced Path Tracing Architecture for Movie Rendering" and "A Hierarchical Automatic Stopping Condition for Monte Carlo Global Illumination" The basic principle is as follows: While samples are being added to a pixel, the adaptive sampler writes half of the samples to a separate buffer. This gives it two separate estimates of the same pixel, and by comparing their difference it estimates convergence. Once convergence drops below a given threshold, the pixel is considered done. When a pixel has not converged yet and needs more samples than the minimum, its immediate neighbors are also set to take more samples. This is done in order to more reliably detect sharp features such as caustics. A 3x3 box filter that is run periodically over the tile buffer is used for that purpose. After a tile has finished rendering, the values of all passes are scaled as if they were rendered with the full number of samples. This way, any code operating on these buffers, for example the denoiser, does not need to be changed for per-pixel sample counts. Reviewed By: brecht, #cycles Differential Revision: https://developer.blender.org/D4686
2019-04-17ClangFormat: apply to source, most of internCampbell Barton
Apply clang format as proposed in T53211. For details on usage and instructions for migrating branches without conflicts, see: https://wiki.blender.org/wiki/Tools/ClangFormat
2019-03-14Cycles: Improved thread order for better CUDA performance.Stefan Werner
This patch puts threads that render the same pixel closer together, as opposed to threads that render the same sample. Thus threads within a warp are more coherent in memory access and control flow, leading to performance improvements. Example benchmarks on a Quadro RTX4000 (WDDM) on Windows 10: Koro: 4:23 -> 3:46 BMW: 1:18 -> 1:25 Barbershop Interior: 17:52 -> 14:55 Classroom: 4:37 -> 3:45 Performance differences on OpenCL/AMD were hit and miss, some scenes became faster, others lost significantly. Therefore, this is kept as CUDA only change for now.
2017-10-04Code refactor: add WorkTile struct for passing work to kernel.Brecht Van Lommel
This makes sharing some code between mega/split in following commits a bit easier, and also paves the way for rendering multiple tiles later.
2017-09-21Code cleanup: simplify kernel side work stealing code.Brecht Van Lommel
2017-03-08Cycles: OpenCL split kernel refactorMai Lavelle
This does a few things at once: - Refactors host side split kernel logic into a new device agnostic class `DeviceSplitKernel`. - Removes tile splitting, a new work pool implementation takes its place and allows as many threads as will fit in memory regardless of tile size, which can give performance gains. - Refactors split state buffers into one buffer, as well as reduces the number of arguments passed to kernels. Means there's less code to deal with overall. - Moves kernel logic out of OpenCL kernel files so they can later be used by other device types. - Replaced OpenCL specific APIs with new generic versions - Tiles can now be seen updating during rendering
2016-03-25Cycles: Cleanup, indent nested preprocessor directivesSergey Sharybin
Quite straightforward, main trick is happening in path_source_replace_includes(). Reviewers: brecht, dingto, lukasstockner97, juicyfruit Differential Revision: https://developer.blender.org/D1794
2015-05-09Cycles: OpenCL kernel splitGeorge Kyriazis
This commit contains all the work related on the AMD megakernel split work which was mainly done by Varun Sundar, George Kyriazis and Lenny Wang, plus some help from Sergey Sharybin, Martijn Berger, Thomas Dinges and likely someone else which we're forgetting to mention. Currently only AMD cards are enabled for the new split kernel, but it is possible to force split opencl kernel to be used by setting the following environment variable: CYCLES_OPENCL_SPLIT_KERNEL_TEST=1. Not all the features are supported yet, and that being said no motion blur, camera blur, SSS and volumetrics for now. Also transparent shadows are disabled on AMD device because of some compiler bug. This kernel is also only implements regular path tracing and supporting branched one will take a bit. Branched path tracing is exposed to the interface still, which is a bit misleading and will be hidden there soon. More feature will be enabled once they're ported to the split kernel and tested. Neither regular CPU nor CUDA has any difference, they're generating the same exact code, which means no regressions/improvements there. Based on the research paper: https://research.nvidia.com/sites/default/files/publications/laine2013hpg_paper.pdf Here's the documentation: https://docs.google.com/document/d/1LuXW-CV-sVJkQaEGZlMJ86jZ8FmoPfecaMdR-oiWbUY/edit Design discussion of the patch: https://developer.blender.org/T44197 Differential Revision: https://developer.blender.org/D1200