diff options
| author | Brian Savery <bsavery> | 2021-09-28 17:51:14 +0300 |
|---|---|---|
| committer | Brecht Van Lommel <brecht@blender.org> | 2021-09-28 20:18:55 +0300 |
| commit | 044a77352f8a8a0e1f60190369d69ef26587b65f (patch) | |
| tree | 22096da4d5214cbd7419d1a5e0dadc70e6cacea3 /intern/cycles/kernel/device/gpu/parallel_reduce.h | |
| parent | 262b2118565826177133013c324212c66d882456 (diff) | |
Cycles: add HIP device support for AMD GPUs
NOTE: this feature is not ready for user testing, and not yet enabled in daily
builds. It is being merged now for easier collaboration on development.
HIP is a heterogenous compute interface allowing C++ code to be executed on
GPUs similar to CUDA. It is intended to bring back AMD GPU rendering support
on Windows and Linux.
https://github.com/ROCm-Developer-Tools/HIP.
As of the time of writing, it should compile and run on Linux with existing
HIP compilers and driver runtimes. Publicly available compilers and drivers
for Windows will come later.
See task T91571 for more details on the current status and work remaining
to be done.
Credits:
Sayak Biswas (AMD)
Arya Rafii (AMD)
Brian Savery (AMD)
Differential Revision: https://developer.blender.org/D12578
Diffstat (limited to 'intern/cycles/kernel/device/gpu/parallel_reduce.h')
| -rw-r--r-- | intern/cycles/kernel/device/gpu/parallel_reduce.h | 6 |
1 files changed, 5 insertions, 1 deletions
diff --git a/intern/cycles/kernel/device/gpu/parallel_reduce.h b/intern/cycles/kernel/device/gpu/parallel_reduce.h index 65b1990dbb8..b60dceb2ed0 100644 --- a/intern/cycles/kernel/device/gpu/parallel_reduce.h +++ b/intern/cycles/kernel/device/gpu/parallel_reduce.h @@ -26,7 +26,11 @@ CCL_NAMESPACE_BEGIN * the overall cost of the algorithm while keeping the work complexity O(n) and * the step complexity O(log n). (Brent's Theorem optimization) */ -#define GPU_PARALLEL_SUM_DEFAULT_BLOCK_SIZE 512 +#ifdef __HIP__ +# define GPU_PARALLEL_SUM_DEFAULT_BLOCK_SIZE 1024 +#else +# define GPU_PARALLEL_SUM_DEFAULT_BLOCK_SIZE 512 +#endif template<uint blocksize, typename InputT, typename OutputT, typename ConvertOp> __device__ void gpu_parallel_sum( |