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/* SPDX-License-Identifier: Apache-2.0
* Copyright 2011-2022 Blender Foundation */
/* Device data taken from CUDA occupancy calculator.
*
* Terminology
* - CUDA GPUs have multiple streaming multiprocessors
* - Each multiprocessor executes multiple thread blocks
* - Each thread block contains a number of threads, also known as the block size
* - Multiprocessors have a fixed number of registers, and the amount of registers
* used by each threads limits the number of threads per block.
*/
/* 3.0 and 3.5 */
#if __CUDA_ARCH__ == 300 || __CUDA_ARCH__ == 350
# define GPU_MULTIPRESSOR_MAX_REGISTERS 65536
# define GPU_MULTIPROCESSOR_MAX_BLOCKS 16
# define GPU_BLOCK_MAX_THREADS 1024
# define GPU_THREAD_MAX_REGISTERS 63
/* tunable parameters */
# define GPU_KERNEL_BLOCK_NUM_THREADS 256
# define GPU_KERNEL_MAX_REGISTERS 63
/* 3.2 */
#elif __CUDA_ARCH__ == 320
# define GPU_MULTIPRESSOR_MAX_REGISTERS 32768
# define GPU_MULTIPROCESSOR_MAX_BLOCKS 16
# define GPU_BLOCK_MAX_THREADS 1024
# define GPU_THREAD_MAX_REGISTERS 63
/* tunable parameters */
# define GPU_KERNEL_BLOCK_NUM_THREADS 256
# define GPU_KERNEL_MAX_REGISTERS 63
/* 3.7 */
#elif __CUDA_ARCH__ == 370
# define GPU_MULTIPRESSOR_MAX_REGISTERS 65536
# define GPU_MULTIPROCESSOR_MAX_BLOCKS 16
# define GPU_BLOCK_MAX_THREADS 1024
# define GPU_THREAD_MAX_REGISTERS 255
/* tunable parameters */
# define GPU_KERNEL_BLOCK_NUM_THREADS 256
# define GPU_KERNEL_MAX_REGISTERS 63
/* 5.x, 6.x */
#elif __CUDA_ARCH__ <= 699
# define GPU_MULTIPRESSOR_MAX_REGISTERS 65536
# define GPU_MULTIPROCESSOR_MAX_BLOCKS 32
# define GPU_BLOCK_MAX_THREADS 1024
# define GPU_THREAD_MAX_REGISTERS 255
/* tunable parameters */
# define GPU_KERNEL_BLOCK_NUM_THREADS 256
/* CUDA 9.0 seems to cause slowdowns on high-end Pascal cards unless we increase the number of
* registers */
# if __CUDACC_VER_MAJOR__ >= 9 && __CUDA_ARCH__ >= 600
# define GPU_KERNEL_MAX_REGISTERS 64
# else
# define GPU_KERNEL_MAX_REGISTERS 48
# endif
/* 7.x, 8.x */
#elif __CUDA_ARCH__ <= 899
# define GPU_MULTIPRESSOR_MAX_REGISTERS 65536
# define GPU_MULTIPROCESSOR_MAX_BLOCKS 32
# define GPU_BLOCK_MAX_THREADS 1024
# define GPU_THREAD_MAX_REGISTERS 255
/* tunable parameters */
# define GPU_KERNEL_BLOCK_NUM_THREADS 512
# define GPU_KERNEL_MAX_REGISTERS 96
/* unknown architecture */
#else
# error "Unknown or unsupported CUDA architecture, can't determine launch bounds"
#endif
/* Compute number of threads per block and minimum blocks per multiprocessor
* given the maximum number of registers per thread. */
#define ccl_gpu_kernel(block_num_threads, thread_num_registers) \
extern "C" __global__ void __launch_bounds__(block_num_threads, \
GPU_MULTIPRESSOR_MAX_REGISTERS / \
(block_num_threads * thread_num_registers))
#define ccl_gpu_kernel_threads(block_num_threads) \
extern "C" __global__ void __launch_bounds__(block_num_threads)
#define ccl_gpu_kernel_signature(name, ...) kernel_gpu_##name(__VA_ARGS__)
#define ccl_gpu_kernel_postfix
#define ccl_gpu_kernel_call(x) x
/* Define a function object where "func" is the lambda body, and additional parameters are used to
* specify captured state */
#define ccl_gpu_kernel_lambda(func, ...) \
struct KernelLambda { \
__VA_ARGS__; \
__device__ int operator()(const int state) \
{ \
return (func); \
} \
} ccl_gpu_kernel_lambda_pass
/* sanity checks */
#if GPU_KERNEL_BLOCK_NUM_THREADS > GPU_BLOCK_MAX_THREADS
# error "Maximum number of threads per block exceeded"
#endif
#if GPU_MULTIPRESSOR_MAX_REGISTERS / (GPU_KERNEL_BLOCK_NUM_THREADS * GPU_KERNEL_MAX_REGISTERS) > \
GPU_MULTIPROCESSOR_MAX_BLOCKS
# error "Maximum number of blocks per multiprocessor exceeded"
#endif
#if GPU_KERNEL_MAX_REGISTERS > GPU_THREAD_MAX_REGISTERS
# error "Maximum number of registers per thread exceeded"
#endif
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