forked from bartvdbraak/blender
169 lines
5.6 KiB
Plaintext
169 lines
5.6 KiB
Plaintext
/*
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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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/* CUDA kernel entry points */
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#include "kernel_compat_cuda.h"
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#include "kernel_math.h"
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#include "kernel_types.h"
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#include "kernel_globals.h"
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#include "kernel_film.h"
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#include "kernel_path.h"
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#include "kernel_bake.h"
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/* device data taken from CUDA occupancy calculator */
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#ifdef __CUDA_ARCH__
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/* 2.0 and 2.1 */
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#if __CUDA_ARCH__ == 200 || __CUDA_ARCH__ == 210
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#define CUDA_MULTIPRESSOR_MAX_REGISTERS 32768
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#define CUDA_MULTIPROCESSOR_MAX_BLOCKS 8
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#define CUDA_BLOCK_MAX_THREADS 1024
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#define CUDA_THREAD_MAX_REGISTERS 63
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/* tunable parameters */
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#define CUDA_THREADS_BLOCK_WIDTH 16
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#define CUDA_KERNEL_MAX_REGISTERS 32
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#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 40
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/* 3.0 and 3.5 */
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#elif __CUDA_ARCH__ == 300 || __CUDA_ARCH__ == 350
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#define CUDA_MULTIPRESSOR_MAX_REGISTERS 65536
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#define CUDA_MULTIPROCESSOR_MAX_BLOCKS 16
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#define CUDA_BLOCK_MAX_THREADS 1024
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#define CUDA_THREAD_MAX_REGISTERS 63
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/* tunable parameters */
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#define CUDA_THREADS_BLOCK_WIDTH 16
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#define CUDA_KERNEL_MAX_REGISTERS 63
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#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 63
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/* 5.0 */
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#elif __CUDA_ARCH__ == 500
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#define CUDA_MULTIPRESSOR_MAX_REGISTERS 65536
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#define CUDA_MULTIPROCESSOR_MAX_BLOCKS 32
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#define CUDA_BLOCK_MAX_THREADS 1024
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#define CUDA_THREAD_MAX_REGISTERS 255
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/* tunable parameters */
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#define CUDA_THREADS_BLOCK_WIDTH 16
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#define CUDA_KERNEL_MAX_REGISTERS 40
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#define CUDA_KERNEL_BRANCHED_MAX_REGISTERS 63
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/* unknown architecture */
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#else
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#error "Unknown or unsupported CUDA architecture, can't determine launch bounds"
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#endif
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/* compute number of threads per block and minimum blocks per multiprocessor
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* given the maximum number of registers per thread */
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#define CUDA_LAUNCH_BOUNDS(threads_block_width, thread_num_registers) \
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__launch_bounds__( \
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threads_block_width*threads_block_width, \
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CUDA_MULTIPRESSOR_MAX_REGISTERS/(threads_block_width*threads_block_width*thread_num_registers) \
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)
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/* sanity checks */
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#if CUDA_THREADS_BLOCK_WIDTH*CUDA_THREADS_BLOCK_WIDTH > CUDA_BLOCK_MAX_THREADS
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#error "Maximum number of threads per block exceeded"
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#endif
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#if CUDA_MULTIPRESSOR_MAX_REGISTERS/(CUDA_THREADS_BLOCK_WIDTH*CUDA_THREADS_BLOCK_WIDTH*CUDA_KERNEL_MAX_REGISTERS) > CUDA_MULTIPROCESSOR_MAX_BLOCKS
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#error "Maximum number of blocks per multiprocessor exceeded"
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#endif
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#if CUDA_KERNEL_MAX_REGISTERS > CUDA_THREAD_MAX_REGISTERS
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#error "Maximum number of registers per thread exceeded"
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#endif
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#if CUDA_KERNEL_BRANCHED_MAX_REGISTERS > CUDA_THREAD_MAX_REGISTERS
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#error "Maximum number of registers per thread exceeded"
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#endif
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/* kernels */
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_path_trace(float *buffer, uint *rng_state, int sample, int sx, int sy, int sw, int sh, int offset, int stride)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
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if(x < sx + sw && y < sy + sh)
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kernel_path_trace(NULL, buffer, rng_state, sample, x, y, offset, stride);
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}
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#ifdef __BRANCHED_PATH__
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_BRANCHED_MAX_REGISTERS)
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kernel_cuda_branched_path_trace(float *buffer, uint *rng_state, int sample, int sx, int sy, int sw, int sh, int offset, int stride)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
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if(x < sx + sw && y < sy + sh)
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kernel_branched_path_trace(NULL, buffer, rng_state, sample, x, y, offset, stride);
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}
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#endif
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_convert_to_byte(uchar4 *rgba, float *buffer, float sample_scale, int sx, int sy, int sw, int sh, int offset, int stride)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
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if(x < sx + sw && y < sy + sh)
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kernel_film_convert_to_byte(NULL, rgba, buffer, sample_scale, x, y, offset, stride);
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}
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_convert_to_half_float(uchar4 *rgba, float *buffer, float sample_scale, int sx, int sy, int sw, int sh, int offset, int stride)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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int y = sy + blockDim.y*blockIdx.y + threadIdx.y;
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if(x < sx + sw && y < sy + sh)
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kernel_film_convert_to_half_float(NULL, rgba, buffer, sample_scale, x, y, offset, stride);
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}
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_shader(uint4 *input, float4 *output, int type, int sx, int sw, int offset, int sample)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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if(x < sx + sw)
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kernel_shader_evaluate(NULL, input, output, (ShaderEvalType)type, x, sample);
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}
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extern "C" __global__ void
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CUDA_LAUNCH_BOUNDS(CUDA_THREADS_BLOCK_WIDTH, CUDA_KERNEL_MAX_REGISTERS)
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kernel_cuda_bake(uint4 *input, float4 *output, int type, int sx, int sw, int offset, int sample)
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{
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int x = sx + blockDim.x*blockIdx.x + threadIdx.x;
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if(x < sx + sw)
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kernel_bake_evaluate(NULL, input, output, (ShaderEvalType)type, x, offset, sample);
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}
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#endif
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