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2017-11-09Cycles: Replace __MAX_CLOSURE__ build option with runtime integrator variableMai Lavelle
Goal is to reduce OpenCL kernel recompilations. Currently viewport renders are still set to use 64 closures as this seems to be faster and we don't want to cause a performance regression there. Needs to be investigated. Reviewed By: brecht Differential Revision: https://developer.blender.org/D2775
2017-11-08Code refactor: rename subsurface to local traversal, for reuse.Brecht Van Lommel
2017-11-05Cycles: reduce closure memory usage for emission/shadow shader data.Brecht Van Lommel
With a Titan Xp, reduces path trace local memory from 1092MB to 840MB. Benchmark performance was within 1% with both RX 480 and Titan Xp. Original patch was implemented by Sergey. Differential Revision: https://developer.blender.org/D2249
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
2017-09-13Code cleanup: store branch factor in PathState.Brecht Van Lommel
2017-08-19Code cleanup: move rng into path state.Brecht Van Lommel
Also pass by value and don't write back now that it is just a hash for seeding and no longer an LCG state. Together this makes CUDA a tiny bit faster in my tests, but mainly simplifies code.
2017-08-13Code cleanup: make L_transparent part of PathRadiance.Brecht Van Lommel
2017-08-13Code cleanup: make DebugData part of PathRadiance.Brecht Van Lommel
2017-06-10Cycles: Faster split branched path tracing by sharing samples with inactive ↵Mai Lavelle
threads Unlike regular path tracing, branched path tracing is usually used with lower sample counts, at least for primary rays. This means that are less samples for the GPU to work on in parallel and rendering is slower. As there is less work overall there is also more inactive threads during rendering with BPT. This patch makes use of those inactive rays to render branched samples in parallel with other samples. Each thread that is preparing for a branched sample will attempt to find an inactive thread and if one is found the state for the sample is copied to that thread. Potentially, if there are enough inactive threads, 100s of branched samples could be generated from the same originating thread and ran in parallel giving large speed ups. Gives 70% faster render for pavillion midday scene. 20-60% faster on BMW with car paint replaced with SSS/volumes.
2017-05-05Cycles: Split kernel SSS & Volume data definitions cleanupHristo Gueorguiev
2017-05-03Cycles: Split kernel - sort shadersHristo Gueorguiev
Reduce thread divergence in kernel_shader_eval. Rays are sorted in blocks of 2048 according to shader->id. On R9 290 Classroom is ~30% faster, and Pabellon Barcelone is ~8% faster. No sorting for CUDA split kernel. Reviewers: sergey, maiself Reviewed By: maiself Differential Revision: https://developer.blender.org/D2598
2017-05-02Cycles: Branched path tracing for the split kernelMai Lavelle
This implements branched path tracing for the split kernel. General approach is to store the ray state at a branch point, trace the branched ray as normal, then restore the state as necessary before iterating to the next part of the path. A state machine is used to advance the indirect loop state, which avoids the need to add any new kernels. Each iteration the state machine recreates as much state as possible from the stored ray to keep overall storage down. Its kind of hard to keep all the different integration loops in sync, so this needs lots of testing to make sure everything is working correctly. We should probably start trying to deduplicate the integration loops more now. Nonbranched BMW is ~2% slower, while classroom is ~2% faster, other scenes could use more testing still. Reviewers: sergey, nirved Reviewed By: nirved Subscribers: Blendify, bliblubli Differential Revision: https://developer.blender.org/D2611
2017-04-25Workaround for AMD GPU OpenCL compiler.Hristo Gueorguiev
2017-03-16Cycles: Define ccl_local variables in kernel functionsSergey Sharybin
Declaring ccl_local in a device function is not supported by certain compilers.
2017-03-09Cycles: split kernel_shadow_blocked to AO & DL partsHristo Gueorguiev
Reduces memory allocation for split kernel. This allows for faster rendering due to bigger global size, specially when GPU memory is limited. Perfromance results: R9 290 total render time Before After Change BMW 4:37 4:34 -1.1 % Classroom 14:43 14:30 -1.5 % Fishy Cat 11:20 11:04 -2.4 % Koro 12:11 12:04 -1.0 % Pabellon Barcelona 22:01 20:44 -5.8 % Pabellon Barcelona(*) 15:32 15:09 -2.5 % (*) without glossy connected to volume
2017-03-09Cycles: SSS and Volume rendering in split kernelHristo Gueorguiev
Decoupled ray marching is not supported yet. Transparent shadows are always enabled for volume rendering. Changes in kernel/bvh and kernel/geom are from Sergey. This simiplifies code significantly, and prepares it for record-all transparent shadow function in split kernel.
2017-03-08Cycles: Make it possible to access KernelGlobals from split data ↵Sergey Sharybin
initialization function