Files
test2/intern/cycles/kernel/device/hip/config.h
Michael Jones 5f61eca7af Cycles: Exploit non-uniform threadgroup sizes on Metal
This patch replaces `dispatchThreadgroups` with `dispatchThreads` which takes care of non-uniform threadgroup bounds. This allows us to remove the bounds guards in the integrator kernel entry points.

Pull Request: https://projects.blender.org/blender/blender/pulls/106217
2023-03-29 21:46:11 +02:00

64 lines
2.3 KiB
C

/* SPDX-License-Identifier: Apache-2.0
* Copyright 2011-2022 Blender Foundation */
/* Device data taken from HIP occupancy calculator.
*
* Terminology
* - HIP 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.
*/
/* Launch Bound Definitions */
#define GPU_MULTIPRESSOR_MAX_REGISTERS 65536
#define GPU_MULTIPROCESSOR_MAX_BLOCKS 64
#define GPU_BLOCK_MAX_THREADS 1024
#define GPU_THREAD_MAX_REGISTERS 255
#define GPU_KERNEL_BLOCK_NUM_THREADS 1024
#define GPU_KERNEL_MAX_REGISTERS 64
/* 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 ccl_gpu_kernel_within_bounds(i, n) ((i) < (n))
/* 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