forked from bartvdbraak/blender
fa352bb749
use arrays instead of textures for general storage on this card (image textures are still stored as texture). Textures were found to be faster on older cards, but the limits on 1D texture size have not increased along with the memory size, which meant that the full 6 GB could not be used. The performance actually seems to be slightly better with arrays in some tests on Titan. For older cards there seems to be a bit of a mix, some are better and others not. We may change those to use arrays too, but more testing is needed, only Titan and Tesla K20 (sm_35) is changed for now. The fact that arrays are faster is a bit surprising, as others found textures to be faster on Kepler. However even if they were, the memory limitation is more important to solve anyway. https://research.nvidia.com/publication/understanding-efficiency-ray-traversal-gpus-kepler-and-fermi-addendum
129 lines
3.4 KiB
C
129 lines
3.4 KiB
C
/*
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* Copyright 2011-2013 Blender Foundation
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License
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*/
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/* Constant Globals */
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CCL_NAMESPACE_BEGIN
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/* On the CPU, we pass along the struct KernelGlobals to nearly everywhere in
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* the kernel, to access constant data. These are all stored as "textures", but
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* these are really just standard arrays. We can't use actually globals because
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* multiple renders may be running inside the same process. */
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#ifdef __KERNEL_CPU__
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#ifdef __OSL__
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struct OSLGlobals;
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struct OSLThreadData;
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struct OSLShadingSystem;
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#endif
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#define MAX_BYTE_IMAGES 512
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#define MAX_FLOAT_IMAGES 5
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typedef struct KernelGlobals {
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texture_image_uchar4 texture_byte_images[MAX_BYTE_IMAGES];
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texture_image_float4 texture_float_images[MAX_FLOAT_IMAGES];
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#define KERNEL_TEX(type, ttype, name) ttype name;
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#define KERNEL_IMAGE_TEX(type, ttype, name)
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#include "kernel_textures.h"
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KernelData __data;
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#ifdef __OSL__
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/* On the CPU, we also have the OSL globals here. Most data structures are shared
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* with SVM, the difference is in the shaders and object/mesh attributes. */
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OSLGlobals *osl;
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OSLShadingSystem *osl_ss;
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OSLThreadData *osl_tdata;
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#endif
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} KernelGlobals;
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#endif
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/* For CUDA, constant memory textures must be globals, so we can't put them
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* into a struct. As a result we don't actually use this struct and use actual
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* globals and simply pass along a NULL pointer everywhere, which we hope gets
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* optimized out. */
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#ifdef __KERNEL_CUDA__
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__constant__ KernelData __data;
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typedef struct KernelGlobals {} KernelGlobals;
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#ifdef __KERNEL_CUDA_TEX_STORAGE__
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#define KERNEL_TEX(type, ttype, name) ttype name;
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#else
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#define KERNEL_TEX(type, ttype, name) const __constant__ __device__ type *name;
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#endif
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#define KERNEL_IMAGE_TEX(type, ttype, name) ttype name;
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#include "kernel_textures.h"
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#endif
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/* OpenCL */
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#ifdef __KERNEL_OPENCL__
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typedef struct KernelGlobals {
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__constant KernelData *data;
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#define KERNEL_TEX(type, ttype, name) \
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__global type *name;
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#include "kernel_textures.h"
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} KernelGlobals;
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#endif
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/* Interpolated lookup table access */
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__device float lookup_table_read(KernelGlobals *kg, float x, int offset, int size)
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{
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x = clamp(x, 0.0f, 1.0f)*(size-1);
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int index = min(float_to_int(x), size-1);
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int nindex = min(index+1, size-1);
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float t = x - index;
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float data0 = kernel_tex_fetch(__lookup_table, index + offset);
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if(t == 0.0f)
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return data0;
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float data1 = kernel_tex_fetch(__lookup_table, nindex + offset);
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return (1.0f - t)*data0 + t*data1;
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}
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__device float lookup_table_read_2D(KernelGlobals *kg, float x, float y, int offset, int xsize, int ysize)
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{
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y = clamp(y, 0.0f, 1.0f)*(ysize-1);
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int index = min(float_to_int(y), ysize-1);
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int nindex = min(index+1, ysize-1);
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float t = y - index;
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float data0 = lookup_table_read(kg, x, offset + xsize*index, xsize);
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if(t == 0.0f)
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return data0;
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float data1 = lookup_table_read(kg, x, offset + xsize*nindex, xsize);
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return (1.0f - t)*data0 + t*data1;
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}
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CCL_NAMESPACE_END
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