/* Copyright (c) 2023 Advanced Micro Devices, Inc. All rights reserved. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. */ #pragma once #include #include #include struct CPUGrid { CPUGrid() = default; CPUGrid(const dim3 grid_dim, const dim3 block_dim) : grid_dim_{grid_dim}, block_dim_{block_dim}, block_count_{grid_dim.x * grid_dim.y * grid_dim.z}, threads_in_block_count_{block_dim.x * block_dim.y * block_dim.z}, thread_count_{block_count_ * threads_in_block_count_} {} inline std::optional thread_rank_in_block( const unsigned int thread_rank_in_grid) const { if (thread_rank_in_grid > thread_count_) { return std::nullopt; } return thread_rank_in_grid % threads_in_block_count_; } inline std::optional block_idx(const unsigned int thread_rank_in_grid) const { if (thread_rank_in_grid > thread_count_) { return std::nullopt; } dim3 block_idx; const auto block_rank_in_grid = thread_rank_in_grid / threads_in_block_count_; block_idx.x = block_rank_in_grid % grid_dim_.x; block_idx.y = (block_rank_in_grid / grid_dim_.x) % grid_dim_.y; block_idx.z = block_rank_in_grid / (grid_dim_.x * grid_dim_.y); return block_idx; } inline std::optional thread_idx(const unsigned int thread_rank_in_grid) const { if (thread_rank_in_grid > thread_count_) { return std::nullopt; } dim3 thread_idx; const auto thread_rank_in_block = thread_rank_in_grid % threads_in_block_count_; thread_idx.x = thread_rank_in_block % block_dim_.x; thread_idx.y = (thread_rank_in_block / block_dim_.x) % block_dim_.y; thread_idx.z = thread_rank_in_block / (block_dim_.x * block_dim_.y); return thread_idx; } dim3 grid_dim_; dim3 block_dim_; unsigned int block_count_; unsigned int threads_in_block_count_; unsigned int thread_count_; }; inline dim3 GenerateThreadDimensions() { hipDeviceProp_t props; HIP_CHECK(hipGetDeviceProperties(&props, 0)); const auto multipliers = {0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9, 2.0, 2.1, 2.2, 2.3, 2.4, 2.5}; return GENERATE_COPY( dim3(1, 1, 1), dim3(props.maxThreadsDim[0], 1, 1), dim3(1, props.maxThreadsDim[1], 1), dim3(1, 1, props.maxThreadsDim[2]), map([max = props.maxThreadsDim[0], warp_size = props.warpSize]( double i) { return dim3(std::min(static_cast(i * warp_size), max), 1, 1); }, values(multipliers)), map([max = props.maxThreadsDim[1], warp_size = props.warpSize]( double i) { return dim3(1, std::min(static_cast(i * warp_size), max), 1); }, values(multipliers)), map([max = props.maxThreadsDim[2], warp_size = props.warpSize]( double i) { return dim3(1, 1, std::min(static_cast(i * warp_size), max)); }, values(multipliers)), dim3(16, 8, 8), dim3(32, 32, 1), dim3(64, 8, 2), dim3(16, 16, 3), dim3(props.warpSize - 1, 3, 3), dim3(props.warpSize + 1, 3, 3)); } inline dim3 GenerateBlockDimensions() { hipDeviceProp_t props; HIP_CHECK(hipGetDeviceProperties(&props, 0)); const auto multipliers = {0.1, 0.5, 0.9, 1.0, 1.1, 1.5, 1.9, 2.0, 3.0, 4.0}; return GENERATE_COPY(dim3(1, 1, 1), map([sm = props.multiProcessorCount]( double i) { return dim3(static_cast(i * sm), 1, 1); }, values(multipliers)), map([sm = props.multiProcessorCount]( double i) { return dim3(1, static_cast(i * sm), 1); }, values(multipliers)), map([sm = props.multiProcessorCount]( double i) { return dim3(1, 1, static_cast(i * sm)); }, values(multipliers)), dim3(5, 5, 5)); } inline dim3 GenerateThreadDimensionsForShuffle() { hipDeviceProp_t props; HIP_CHECK(hipGetDeviceProperties(&props, 0)); const auto multipliers = {0.5, 0.9, 1.0, 1.5, 2.0}; return GENERATE_COPY( dim3(1, 1, 1), dim3(props.maxThreadsDim[0], 1, 1), dim3(1, props.maxThreadsDim[1], 1), dim3(1, 1, props.maxThreadsDim[2]), map([max = props.maxThreadsDim[0], warp_size = props.warpSize]( double i) { return dim3(std::min(static_cast(i * warp_size), max), 1, 1); }, values(multipliers)), map([max = props.maxThreadsDim[1], warp_size = props.warpSize]( double i) { return dim3(1, std::min(static_cast(i * warp_size), max), 1); }, values(multipliers)), map([max = props.maxThreadsDim[2], warp_size = props.warpSize]( double i) { return dim3(1, 1, std::min(static_cast(i * warp_size), max)); }, values(multipliers)), dim3(16, 8, 8), dim3(32, 32, 1), dim3(64, 8, 2), dim3(16, 16, 3), dim3(props.warpSize - 1, 3, 3), dim3(props.warpSize + 1, 3, 3)); } inline dim3 GenerateBlockDimensionsForShuffle() { hipDeviceProp_t props; HIP_CHECK(hipGetDeviceProperties(&props, 0)); const auto multipliers = {0.5, 1.0}; return GENERATE_COPY(dim3(1, 1, 1), map([sm = props.multiProcessorCount]( double i) { return dim3(static_cast(i * sm), 1, 1); }, values(multipliers)), map([sm = props.multiProcessorCount]( double i) { return dim3(1, static_cast(i * sm), 1); }, values(multipliers)), map([sm = props.multiProcessorCount]( double i) { return dim3(1, 1, static_cast(i * sm)); }, values(multipliers)), dim3(5, 5, 5)); }