133 lines
4.3 KiB
C++
133 lines
4.3 KiB
C++
/***************************************************************************************************
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* Copyright (c) 2025 - 2026 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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* SPDX-License-Identifier: BSD-3-Clause
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions are met:
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*
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* 1. Redistributions of source code must retain the above copyright notice, this
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* list of conditions and the following disclaimer.
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*
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* 2. Redistributions in binary form must reproduce the above copyright notice,
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* this list of conditions and the following disclaimer in the documentation
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* and/or other materials provided with the distribution.
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*
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* 3. Neither the name of the copyright holder nor the names of its
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* contributors may be used to endorse or promote products derived from
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* this software without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
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* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
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* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
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* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
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* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
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* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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*
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**************************************************************************************************/
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#pragma once
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#include "cutlass/cutlass.h"
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#include "cutlass/fast_math.h"
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#include "cutlass/kernel_hardware_info.h"
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namespace cutlass::ssd::kernel {
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////////////////////////////////////////////////////////////////////////////////
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struct PersistentTileScheduler {
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struct Params {
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int num_blocks;
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int num_groups;
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FastDivmod divmod_eh;
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FastDivmod divmod_ngroup_ratio;
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KernelHardwareInfo hw_info;
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};
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int block_idx = 0;
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Params params;
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CUTLASS_DEVICE
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PersistentTileScheduler(Params const& params) : block_idx(blockIdx.x), params(params) {}
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template<class ProblemSize, class ClusterShape, class TileShape>
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static Params to_underlying_arguments(
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ProblemSize const& problem_size, KernelHardwareInfo hw_info,
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ClusterShape const& cluster_shape, TileShape const& tile_shape)
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{
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using namespace cute;
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auto [G, B, EH, C, L, D, N] = problem_size;
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// Get SM count if needed, otherwise use user supplied SM count
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int sm_count = hw_info.sm_count;
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if (sm_count <= 0) {
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CUTLASS_TRACE_HOST(" WARNING: Arguments do not include a valid SM count.\n"
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" For optimal performance, populate the arguments KernelHardwareInfo struct with the SM count.");
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sm_count = KernelHardwareInfo::query_device_multiprocessor_count(hw_info.device_id);
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}
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CUTLASS_TRACE_HOST("to_underlying_arguments(): Setting persistent grid SM count to " << sm_count);
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hw_info.sm_count = sm_count;
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int num_blocks = B * EH;
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int ngroup_ratio = EH / G;
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return Params {
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num_blocks,
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G,
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{EH},
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{ngroup_ratio},
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hw_info
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};
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}
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static dim3 get_grid_shape(Params const& params) {
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dim3 grid(std::min(params.num_blocks, params.hw_info.sm_count), 1, 1);
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return grid;
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}
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CUTLASS_DEVICE
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bool is_valid() {
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return block_idx < params.num_blocks;
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}
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CUTLASS_DEVICE
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auto get_block_coord() {
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return block_idx;
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}
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CUTLASS_DEVICE
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auto get_block_coord_b() {
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using namespace cute;
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int eh_idx, b_idx;
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int g_idx, rest_idx;
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params.divmod_eh(b_idx, eh_idx, block_idx);
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params.divmod_ngroup_ratio(g_idx, rest_idx, eh_idx);
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return (params.num_groups * b_idx + g_idx);
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}
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CUTLASS_DEVICE
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auto get_block_coord_eh() {
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using namespace cute;
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int eh_idx, b_idx;
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params.divmod_eh(b_idx, eh_idx, block_idx);
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return eh_idx;
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}
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CUTLASS_DEVICE
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PersistentTileScheduler& operator++() {
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block_idx += gridDim.x;
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return *this;
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}
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};
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////////////////////////////////////////////////////////////////////////////////
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} // namespace cutlass::ssd::kernel
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